{"id":8223,"date":"2023-09-10T23:03:39","date_gmt":"2023-09-10T21:03:39","guid":{"rendered":"https:\/\/geopard.tech\/?p=8223"},"modified":"2024-12-01T16:32:13","modified_gmt":"2024-12-01T15:32:13","slug":"automatinis-derliaus-duomenu-valymas-ir-kalibravimas","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/","title":{"rendered":"Automatizuotas derliaus duomen\u0173 valymas ir kalibravimas"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Automatinis derliaus duomen\u0173 valymas ir kalibravimas (AYDCC) \u2013 tai procesas, kurio metu naudojami algoritmai ir modeliai, siekiant aptikti ir i\u0161taisyti derliaus duomen\u0173 klaidas, pvz., i\u0161skirtis, spragas ar paklaidas. AYDCC gali pagerinti derliaus duomen\u0173 kokyb\u0119 ir patikimum\u0105, o tai gali pad\u0117ti \u016bkininkams gauti geresni\u0173 \u012f\u017evalg\u0173 ir rekomendacij\u0173.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-introduction-to-yield-data\">\u012evadas \u012f derliaus duomenis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Derlingumo duomenys yra vienas svarbiausi\u0173 informacijos \u0161altini\u0173 XXI am\u017eiaus \u016bkininkams. Tai duomenys, surinkti i\u0161 \u012fvairios \u017eem\u0117s \u016bkio technikos, tokios kaip kombainai, sodinamosios ir derliaus nu\u0117mimo ma\u0161inos, kurie matuoja tam tikrame lauke ar vietov\u0117je u\u017eauginto derliaus kiek\u012f ir kokyb\u0119.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tai nepaprastai svarbu d\u0117l keli\u0173 prie\u017eas\u010di\u0173. Pirma, tai padeda \u016bkininkams priimti pagr\u012fstus sprendimus. Tur\u0117dami i\u0161samius derliaus duomenis, \u016bkininkai gali tiksliai suderinti savo praktik\u0105, kad padidint\u0173 produktyvum\u0105.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, jei konkre\u010diame lauke nuolat duodamas ma\u017eesnis derlius, \u016bkininkai gali i\u0161tirti pagrindines prie\u017eastis, tokias kaip dirvo\u017eemio sveikata ar dr\u0117kinimo problemos, ir imtis taisom\u0173j\u0173 priemoni\u0173.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Be to, tai \u012fgalina tiksli\u0105j\u0105 \u017eemdirbyst\u0119. \u017dem\u0117lapyje nustatydami pas\u0117li\u0173 derlingumo skirtumus savo laukuose, \u016bkininkai gali pritaikyti savo naudojamas med\u017eiagas, tokias kaip tr\u0105\u0161os ir pesticidai, konkre\u010dioms sritims. Toks tikslingas po\u017ei\u016bris ne tik optimizuoja i\u0161tekli\u0173 naudojim\u0105, bet ir suma\u017eina poveik\u012f aplinkai.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pasak Maisto ir \u017eem\u0117s \u016bkio organizacijos (FAO), iki 2050 m. pasaulin\u0117 \u017eem\u0117s \u016bkio gamyba turi padid\u0117ti 60%, kad b\u016bt\u0173 patenkinta auganti maisto paklausa. Derliaus duomenys, atliekantys savo vaidmen\u012f didinant pas\u0117li\u0173 produktyvum\u0105, yra labai svarb\u016bs siekiant \u0161io tikslo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Be to, Brazilijoje soj\u0173 pupeli\u0173 augintojas, naudodamas derliaus duomenis kartu su dirvo\u017eemio m\u0117gini\u0173 duomenimis, suk\u016br\u0117 kintam\u0173 tr\u0105\u0161\u0173 norm\u0173 \u017eem\u0117lapius savo laukams. Jis naudojo skirtingas tr\u0105\u0161\u0173 normas, atsi\u017evelgdamas \u012f dirvo\u017eemio derlingum\u0105 ir kiekvienos zonos derliaus potencial\u0105.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Jis taip pat naudojo derliaus duomenis, kad palygint\u0173 skirtingas soj\u0173 pupeli\u0173 veisles ir pasirinkt\u0173 geriausias savo s\u0105lygoms. D\u0117l to jis padidino vidutin\u012f derli\u0173 12% ir suma\u017eino tr\u0105\u0161\u0173 s\u0105naudas 15%.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pana\u0161iai Indijoje ry\u017ei\u0173 augintojas derliaus duomen\u0173 rinkinius ir or\u0173 duomenis naudojo savo lauk\u0173 dr\u0117kinimo grafikui koreguoti. Jis steb\u0117jo dirvo\u017eemio dr\u0117gm\u0117s lyg\u012f ir krituli\u0173 kiek\u012f naudodamas jutiklius ir palydovinius vaizdus.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" width=\"810\" height=\"456\" data-attachment-id=\"8249\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/understanding-and-utilization-of-yield-data\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?fit=1200%2C675&amp;ssl=1\" data-orig-size=\"1200,675\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"understanding and utilization of yield data\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?fit=1024%2C576&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?resize=810%2C456&#038;ssl=1\" alt=\"derliaus duomen\u0173 supratimas ir panaudojimas\" class=\"wp-image-8249\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?w=1200&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/understanding-and-utilization-of-yield-data.png?resize=768%2C432&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Jis taip pat naudojo j\u012f skirtingoms ry\u017ei\u0173 veisl\u0117ms palyginti ir geriausioms savo s\u0105lygoms pasirinkti. D\u0117l to jis padidino vidutin\u012f derli\u0173 10% ir suma\u017eino vandens sunaudojim\u0105 20%.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nepaisant privalum\u0173, derliaus duomen\u0173 k\u016brimas ir diegimas vis dar susiduria su tam tikrais i\u0161\u0161\u016bkiais. Kai kurie i\u0161 \u0161i\u0173 i\u0161\u0161\u016bki\u0173 yra \u0161ie:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Duomen\u0173 kokyb\u0117:<\/strong> Jo tikslumas ir patikimumas priklauso nuo jutikli\u0173 kokyb\u0117s, \u012frangos kalibravimo, duomen\u0173 rinkimo metod\u0173 ir duomen\u0173 apdorojimo bei analiz\u0117s metod\u0173. Prasta duomen\u0173 kokyb\u0117 gali sukelti klaid\u0173, \u0161ali\u0161kumo ar neatitikim\u0173, kurie gali tur\u0117ti \u012ftakos duomen\u0173 pagr\u012fstumui ir naudingumui.<\/li>\n\n\n\n<li><strong>Prieiga prie duomen\u0173:<\/strong> Derliaus duomen\u0173 prieinamumas ir \u012fperkamumas priklauso nuo prieigos prie \u017eem\u0117s \u016bkio technikos, jutikli\u0173, duomen\u0173 saugojimo \u012frengini\u0173 ir duomen\u0173 platform\u0173 bei j\u0173 nuosavyb\u0117s. Prieigos ar nuosavyb\u0117s stoka gali apriboti \u016bkinink\u0173 galimybes rinkti, saugoti, bendrinti ar naudoti savo duomenis.<\/li>\n\n\n\n<li><strong>Duomen\u0173 privatumas:<\/strong> Duomen\u0173 saugumas ir konfidencialumas priklauso nuo \u016bkinink\u0173, technikos gamintoj\u0173, duomen\u0173 teik\u0117j\u0173 ir duomen\u0173 naudotoj\u0173 vykdomos duomen\u0173 apsaugos ir reguliavimo. D\u0117l apsaugos ar reguliavimo stokos duomenys gali b\u016bti naudojami neteis\u0117tai arba neeti\u0161kai, pavyzd\u017eiui, vagyst\u0117s, manipuliavimo ar i\u0161naudojimo tikslais.<\/li>\n\n\n\n<li><strong>Duomen\u0173 ra\u0161tingumas:<\/strong> Derliaus duomen\u0173 supratimas ir panaudojimas priklauso nuo \u016bkinink\u0173, \u017eem\u0117s \u016bkio konsultant\u0173, konsultant\u0173 ir tyr\u0117j\u0173 \u012fg\u016bd\u017ei\u0173 bei \u017eini\u0173. \u012eg\u016bd\u017ei\u0173 ar \u017eini\u0173 tr\u016bkumas gali trukdyti \u0161iems subjektams veiksmingai interpretuoti, perduoti ar taikyti duomenis.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"810\" height=\"455\" data-attachment-id=\"8248\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/gathering-yield-data-using-farm-machines-like-harvesters\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?fit=1365%2C767&amp;ssl=1\" data-orig-size=\"1365,767\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"gathering yield data using farm machines like harvesters\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?fit=1024%2C575&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?resize=810%2C455&#038;ssl=1\" alt=\"duomen\u0173 rinkini\u0173 rinkimas naudojant \u017eem\u0117s \u016bkio ma\u0161inas, tokias kaip kombainai\" class=\"wp-image-8248\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?w=1365&amp;ssl=1 1365w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?resize=1024%2C575&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/gathering-yield-data-using-farm-machines-like-harvesters.jpg?resize=1200%2C674&amp;ssl=1 1200w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Tod\u0117l norint \u012fveikti \u0161iuos i\u0161\u0161\u016bkius ir i\u0161naudoti vis\u0105 derliaus duomen\u0173 potencial\u0105, svarbu juos i\u0161valyti ir sukalibruoti.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-introduction-to-yield-data-cleaning-and-calibration\">\u012evadas \u012f derliaus duomen\u0173 valym\u0105 ir kalibravim\u0105<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Derliaus duomenys yra vertingas informacijos \u0161altinis \u016bkininkams ir tyr\u0117jams, norintiems analizuoti pas\u0117li\u0173 na\u0161um\u0105, nustatyti valdymo zonas ir optimizuoti sprendim\u0173 pri\u0117mim\u0105. Ta\u010diau norint u\u017etikrinti j\u0173 patikimum\u0105 ir tikslum\u0105, juos da\u017enai reikia valyti ir kalibruoti.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cYieldDataset\u201d kalibravimas yra funkcija, kuri koreguoja reik\u0161mi\u0173 pasiskirstym\u0105 pagal matematinius principus, pagerindama bendr\u0105 duomen\u0173 vientisum\u0105. Tai sustiprina sprendim\u0173 pri\u0117mimo kokyb\u0119 ir suteikia duomen\u0173 rinkiniui verting\u0105 pagrind\u0105 tolesnei i\u0161samiai analizei.<\/p>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\" id=\"h-geopard-yield-clean-calibration-module\">\u201eGeoPard Yield\u201c valymo kalibravimo modulis<\/h2>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">\u201eGeoPard\u201c leido i\u0161valyti ir pataisyti derliaus duomen\u0173 rinkinius naudodama \u201eYield Clean-Calibration\u201c modul\u012f. <\/p>\n\n\n\n\n\n<p class=\"wp-block-paragraph\">Mes padar\u0117me j\u016bs\u0173 derliaus duomen\u0173 rinkini\u0173 kokyb\u0117s gerinim\u0105 lengvesn\u012f nei bet kada anks\u010diau, suteikdami \u016bkininkams galimyb\u0119 priimti duomenimis pagr\u012fstus sprendimus, kuriais galite pasikliauti.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?ssl=1\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"810\" height=\"421\" data-attachment-id=\"8231\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/geopard-yield-cleaning-calibration-similar-to-field-potential-zones\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?fit=1920%2C999&amp;ssl=1\" data-orig-size=\"1920,999\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"GeoPard &amp;#8211; Yield Cleaning &amp;#038; Calibration, similar to Field Potential zones\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?fit=1024%2C533&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=810%2C421&#038;ssl=1\" alt=\"\u201eGeoPard\u201c \u2013 derliaus valymas ir kalibravimas, pana\u0161us \u012f lauko potencialo zonas\" class=\"wp-image-8231\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=300%2C156&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=1024%2C533&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=768%2C400&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=1536%2C799&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?resize=1200%2C624&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-similar-to-Field-Potential-zones.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Po kalibravimo ir valymo gautas derliaus duomen\u0173 rinkinys tampa homogeni\u0161kas, be i\u0161skirt\u0173 ver\u010di\u0173 ar staigi\u0173 poky\u010di\u0173 tarp gretim\u0173 geometrij\u0173. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Su m\u016bs\u0173 naujuoju moduliu galite:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"459\" data-attachment-id=\"9339\" data-permalink=\"https:\/\/geopard.tech\/lt\/?attachment_id=9339\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?fit=1070%2C606&amp;ssl=1\" data-orig-size=\"1070,606\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Select an option to proceed\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;Select an option to proceed&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?fit=1024%2C580&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?resize=810%2C459&#038;ssl=1\" alt=\"Pasirinkite parinkt\u012f, kad t\u0119stum\u0117te\" class=\"wp-image-9339\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?w=1070&amp;ssl=1 1070w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?resize=300%2C170&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?resize=1024%2C580&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Select-an-option-to-proceed.webp?resize=768%2C435&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><figcaption class=\"wp-element-caption\">Pasirinkite parinkt\u012f, kad t\u0119stum\u0117te<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>Pa\u0161alinkite sugadintus, persidengian\u010dius ir nenormalius duomen\u0173 ta\u0161kus<\/li>\n\n\n\n<li>Kalibruokite derliaus vertes keliose ma\u0161inose<\/li>\n\n\n\n<li>Prad\u0117kite kalibravim\u0105 vos keliais paspaudimais (supaprastindami naudotojo patirt\u012f) arba paleiskite susiet\u0105 \u201eGeoPad\u201c API galin\u012f ta\u0161k\u0105.<\/li>\n<\/ul>\n\n\n\t\t<div data-elementor-type=\"section\" data-elementor-id=\"11015\" class=\"elementor elementor-11015\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-8e714aa e-flex e-con-boxed e-con e-parent\" data-id=\"8e714aa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-91d0434 elementor-arrows-position-inside elementor-pagination-position-outside elementor-widget elementor-widget-image-carousel\" data-id=\"91d0434\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;slides_to_show&quot;:&quot;1&quot;,&quot;navigation&quot;:&quot;both&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;effect&quot;:&quot;slide&quot;,&quot;speed&quot;:500}\" data-widget_type=\"image-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-carousel-wrapper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Att\u0113lu karuselis\" dir=\"ltr\" data-no-translation-aria-label=\"\">\n\t\t\t<div class=\"elementor-image-carousel swiper-wrapper swiper-image-stretch\" aria-live=\"off\">\n\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-1.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (1)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-2.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (2)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-3.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (3)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"4 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-4.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (4)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"5 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-5.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (5)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"6 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-6.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (6)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"7 no 7\" data-no-translation-aria-label=\"\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Automated_Yield_Data_Cleaning_Calibration_with_GeoPard-7.jpg?fit=818%2C1024&amp;ssl=1\" alt=\"Automatinis_derliaus_duomen\u0173_valymo_kalibravimas_naudojant_GeoPard (7)\" \/><\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-arrow-circle-left\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 504C119 504 8 393 8 256S119 8 256 8s248 111 248 248-111 248-248 248zm28.9-143.6L209.4 288H392c13.3 0 24-10.7 24-24v-16c0-13.3-10.7-24-24-24H209.4l75.5-72.4c9.7-9.3 9.9-24.8.4-34.3l-11-10.9c-9.4-9.4-24.6-9.4-33.9 0L107.7 239c-9.4 9.4-9.4 24.6 0 33.9l132.7 132.7c9.4 9.4 24.6 9.4 33.9 0l11-10.9c9.5-9.5 9.3-25-.4-34.3z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-arrow-circle-right\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8c137 0 248 111 248 248S393 504 256 504 8 393 8 256 119 8 256 8zm-28.9 143.6l75.5 72.4H120c-13.3 0-24 10.7-24 24v16c0 13.3 10.7 24 24 24h182.6l-75.5 72.4c-9.7 9.3-9.9 24.8-.4 34.3l11 10.9c9.4 9.4 24.6 9.4 33.9 0L404.3 273c9.4-9.4 9.4-24.6 0-33.9L271.6 106.3c-9.4-9.4-24.6-9.4-33.9 0l-11 10.9c-9.5 9.6-9.3 25.1.4 34.4z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n\n\n\n<p class=\"wp-block-paragraph\">Kai kurie da\u017eniausiai pasitaikantys automatinio derliaus duomen\u0173 valymo ir kalibravimo naudojimo atvejai:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Duomen\u0173 sinchronizavimas, kai keli derliaus nu\u0117mimo kombainai dirbo vienu metu arba kelias dienas, u\u017etikrinant nuoseklum\u0105.<\/li>\n\n\n\n<li>Duomen\u0173 rinkinio homogenizavimas ir tikslumas, i\u0161lyginant variacijas.<\/li>\n\n\n\n<li>Duomen\u0173 triuk\u0161mo ir pa\u0161alin\u0117s informacijos, galin\u010dios u\u017ego\u017eti \u012f\u017evalgas, pa\u0161alinimas.<\/li>\n\n\n\n<li>Pa\u0161alinti apsisukimus ar nenormalias geometrines fig\u016bras, kurios gali i\u0161kreipti tikruosius lauko modelius ir tendencijas.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u017demiau esan\u010dioje nuotraukoje galite matyti lauk\u0105, kuriame vienu metu dirbo 15 kombain\u0173. Jame parodyta, kaip originalus derliaus duomen\u0173 rinkinys ir patobulintas duomen\u0173 rinkinys po kalibravimo naudojant \u201eGeoPard\u201c derliaus i\u0161valymo kalibravimo modul\u012f atrodo gana skirtingai ir yra lengvai suprantami.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"388\" data-attachment-id=\"8227\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/difference-between-the-original-and-improved-yield-datasets-with-geopards-calibration-module\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?fit=1920%2C919&amp;ssl=1\" data-orig-size=\"1920,919\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"difference between the original and improved yield datasets with GeoPard&amp;#8217;s Calibration Module\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?fit=1024%2C490&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=810%2C388&#038;ssl=1\" alt=\"Skirtumas tarp originali\u0173 ir patobulint\u0173 derliaus duomen\u0173 rinkini\u0173 naudojant \u201eGeoPard\u201c kalibravimo modul\u012f\" class=\"wp-image-8227\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=300%2C144&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=1024%2C490&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=768%2C368&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=1536%2C735&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?resize=1200%2C574&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/difference-between-the-original-and-improved-yield-datasets-with-GeoPards-Calibration-Module.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-is-it-important-to-clean-and-calibrate\"><strong>Kod\u0117l svarbu valyti ir kalibruoti?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Derliaus duomenis renka prie kombain\u0173 pritvirtinti derliaus monitoriai ir jutikliai. \u0160ie prietaisai matuoja nuimto derliaus mas\u0117s sraut\u0105 ir dr\u0117gm\u0117s kiek\u012f, o duomenis georeferenciniais tikslais naudoja GPS koordinates.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ta\u010diau \u0161ie matavimai ne visada tiksl\u016bs ar nuosekl\u016bs d\u0117l \u012fvairi\u0173 veiksni\u0173, galin\u010di\u0173 tur\u0117ti \u012ftakos \u012frangos veikimui ar pas\u0117li\u0173 s\u0105lygoms. Kai kurie i\u0161 \u0161i\u0173 veiksni\u0173 yra \u0161ie:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. \u012erangos variantai:<\/strong> \u017dem\u0117s \u016bkio technika, pavyzd\u017eiui, kombainai ir derliaus nu\u0117mimo kombainai, da\u017enai turi b\u016bding\u0173 skirtum\u0173, d\u0117l kuri\u0173 gali atsirasti duomen\u0173 rinkimo neatitikim\u0173. \u0160ie skirtumai gali b\u016bti jutikli\u0173 jautrumo arba technikos kalibravimo skirtumai.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, kai kurie derliaus monitoriai gali naudoti tiesin\u012f \u012ftampos ir mas\u0117s srauto santyk\u012f, o kiti \u2013 netiesin\u012f. Kai kurie jutikliai gali b\u016bti jautresni dulk\u0117ms ar ne\u0161varumams nei kiti. \u0160ie skirtumai gali sukelti derliaus duomen\u0173 neatitikimus skirtingose ma\u0161inose ar laukuose.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"399\" data-attachment-id=\"9314\" data-permalink=\"https:\/\/geopard.tech\/lt\/?attachment_id=9314\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?fit=1920%2C945&amp;ssl=1\" data-orig-size=\"1920,945\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Example 1 U-turns, Stops, Half Equipment Width Used\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;Example 1 U-turns, Stops, Half Equipment Width Used&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?fit=1024%2C504&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=810%2C399&#038;ssl=1\" alt=\"1 pavyzdys. Apsisukimai, sustojimai, naudojama pus\u0117 \u012frangos plo\u010dio.\" class=\"wp-image-9314\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=300%2C148&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1024%2C504&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=768%2C378&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1536%2C756&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1200%2C591&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-1-U-turns-Stops-Half-Equipment-Width-Used.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><figcaption class=\"wp-element-caption\">1 pavyzdys. Apsisukimai, sustojimai, naudojama pus\u0117 \u012frangos plo\u010dio.<\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"383\" data-attachment-id=\"9316\" data-permalink=\"https:\/\/geopard.tech\/lt\/?attachment_id=9316\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?fit=1920%2C909&amp;ssl=1\" data-orig-size=\"1920,909\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Example 2 U-turns, Stops, Half Equipment Width Used\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;Example 2 U-turns, Stops, Half Equipment Width Used&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?fit=1024%2C485&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=810%2C383&#038;ssl=1\" alt=\"2 pavyzdys. Apsisukimai, sustojimai, naudojama pus\u0117 \u012frangos plo\u010dio.\" class=\"wp-image-9316\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=300%2C142&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1024%2C485&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=768%2C364&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1536%2C727&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?resize=1200%2C568&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/12\/Example-2-U-turns-Stops-Half-Equipment-Width-Used.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><figcaption class=\"wp-element-caption\">2 pavyzdys. Apsisukimai, sustojimai, naudojama pus\u0117 \u012frangos plo\u010dio.<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Aplinkos veiksniai:<\/strong> Oro s\u0105lygos, dirvo\u017eemio tipai ir topografija vaidina svarb\u0173 vaidmen\u012f pas\u0117li\u0173 derliui. Jei \u012f \u0161iuos aplinkos veiksnius neatsi\u017evelgiama, jie gali sukelti triuk\u0161m\u0105 ir netikslumus derliaus duomenyse.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, sm\u0117linguose dirvo\u017eemiuose arba statuose \u0161laituose derlius gali b\u016bti ma\u017eesnis nei priemolio dirvo\u017eemiuose arba lygiuose reljefuose. Taip pat vietov\u0117se, kuriose pas\u0117li\u0173 tankumas didesnis, derlius gali b\u016bti didesnis nei vietov\u0117se, kuriose tankumas ma\u017eesnis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Jutiklio netikslumai:<\/strong> Jutikliai, nepaisant j\u0173 tikslumo, n\u0117ra neklystantys. Laikui b\u0117gant jie gali dreifuoti ir pateikti netikslius rodmenis, jei n\u0117ra reguliariai kalibruojami.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, suged\u0119s dinamometro elementas arba atsilaisvin\u0119 laidai gali lemti netikslius mas\u0117s srauto rodmenis. Ne\u0161varus arba pa\u017eeistas dr\u0117gm\u0117s jutiklis gali pateikti klaidingas dr\u0117gm\u0117s kiekio vertes. Operatoriaus \u012fvestas neteisingas lauko pavadinimas arba ID gali priskirti derliaus duomenis neteisingam lauko failui.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">D\u0117l \u0161i\u0173 veiksni\u0173 derliaus duomen\u0173 rinkiniai gali b\u016bti triuk\u0161mingi, klaidingi arba nenuosekl\u016bs. Jei \u0161ie duomenys n\u0117ra tinkamai i\u0161valyti ir kalibruoti, jie gali lemti klaidingas i\u0161vadas arba sprendimus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, naudojant nei\u0161valytus derliaus duomenis derliaus \u017eem\u0117lapiams sudaryti, lauke gali b\u016bti klaidingai identifikuoti didelio arba ma\u017eo derlingumo plotai.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"544\" data-attachment-id=\"8250\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/why-is-it-important-to-clean-and-calibrate-yield-data\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?fit=1143%2C767&amp;ssl=1\" data-orig-size=\"1143,767\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Why is it important to clean and calibrate yield data\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?fit=1024%2C687&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?resize=810%2C544&#038;ssl=1\" alt=\"Kod\u0117l svarbu i\u0161valyti ir kalibruoti derliaus duomen\u0173 rinkin\u012f?\" class=\"wp-image-8250\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?w=1143&amp;ssl=1 1143w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?resize=300%2C201&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?resize=1024%2C687&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Why-is-it-important-to-clean-and-calibrate-yield-data.jpg?resize=768%2C515&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Naudojant nekalibruotus derliaus duomen\u0173 rinkinius derliui lyginti skirtinguose laukuose ar skirtinguose metais, palyginimai gali b\u016bti neteisingi arba netiksl\u016bs. Naudojant nevalytus arba nekalibruotus derliaus duomenis maistini\u0173 med\u017eiag\u0173 balansui arba pas\u0117li\u0173 s\u0105naudoms apskai\u010diuoti, gali b\u016bti naudojama per daug arba per ma\u017eai tr\u0105\u0161\u0173 ar pesticid\u0173.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tod\u0117l prie\u0161 naudojant derliaus duomenis bet kokiai analizei ar sprendim\u0173 pri\u0117mimui, b\u016btina atlikti j\u0173 valym\u0105 ir kalibravim\u0105. Derliaus duomen\u0173 rinkini\u0173 valymas \u2013 tai procesas, kurio metu pa\u0161alinamos arba i\u0161taisomos bet kokios klaidos ar triuk\u0161mai neapdorotuose derliaus duomenyse, surinktuose derliaus monitori\u0173 ir jutikli\u0173.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-automated-methods-for-cleaning-and-calibrating-yield-data\">Automatiniai derliaus duomen\u0173 valymo ir kalibravimo metodai<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u010cia praver\u010dia automatinio duomen\u0173 valymo metodai. Automatinio duomen\u0173 valymo metodai \u2013 tai metodai, kurie gali atlikti duomen\u0173 valymo u\u017eduotis be \u017emogaus \u012fsiki\u0161imo arba su minimaliu \u017emogaus \u012fsiki\u0161imu.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large is-resized\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"666\" height=\"1024\" data-attachment-id=\"9357\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/configure-the-calibrate-step\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?fit=1070%2C1646&amp;ssl=1\" data-orig-size=\"1070,1646\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Configure the Calibrate step\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;Configure the Calibrate step&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?fit=666%2C1024&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?resize=666%2C1024&#038;ssl=1\" alt=\"Konfig\u016bruokite kalibravimo etap\u0105\" class=\"wp-image-9357\" style=\"width:372px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?resize=666%2C1024&amp;ssl=1 666w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?resize=195%2C300&amp;ssl=1 195w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?resize=768%2C1181&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?resize=998%2C1536&amp;ssl=1 998w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/Configure-the-Calibrate-step.webp?w=1070&amp;ssl=1 1070w\" sizes=\"(max-width: 666px) 100vw, 666px\" \/><\/a><figcaption class=\"wp-element-caption\">Automatiniai valymo ir kalibravimo metodai <\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20%\"><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Automatiniai duomen\u0173 valymo metodai gali sutaupyti laiko ir i\u0161tekli\u0173, suma\u017einti \u017emogi\u0161k\u0173j\u0173 klaid\u0173 skai\u010di\u0173 ir padidinti duomen\u0173 valymo mastel\u012f bei efektyvum\u0105. Kai kurie i\u0161 \u012fprast\u0173 automatini\u0173 duomen\u0173 valymo metod\u0173, skirt\u0173 derliaus duomenims, yra \u0161ie:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. I\u0161skirtini\u0173 ver\u010di\u0173 aptikimas:<\/strong> I\u0161skirtiniai duomenys yra duomen\u0173 ta\u0161kai, kurie reik\u0161mingai nukrypsta nuo normos. Automatiniai algoritmai gali nustatyti \u0161iuos nukrypimus, palygindami duomen\u0173 ta\u0161kus su statistiniais rodikliais, tokiais kaip vidurkis, mediana ir standartinis nuokrypis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, jei derliaus duomen\u0173 rinkinys rodo i\u0161skirtinai didel\u012f derli\u0173 konkre\u010diame lauke, i\u0161skirtini\u0173 ver\u010di\u0173 aptikimo algoritmas gali j\u012f pa\u017eym\u0117ti tolesniam tyrimui.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Triuk\u0161mo ma\u017einimas:<\/strong> Derliaus duomen\u0173 triuk\u0161mas gali kilti d\u0117l \u012fvairi\u0173 \u0161altini\u0173, \u012fskaitant aplinkos veiksnius ir jutikli\u0173 netikslumus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Automatiniai triuk\u0161mo ma\u017einimo metodai, tokie kaip i\u0161lyginimo algoritmai, i\u0161filtruoja nepastovius svyravimus, tod\u0117l duomenys tampa stabilesni ir patikimesni. Tai padeda nustatyti tikr\u0105sias duomen\u0173 tendencijas ir modelius.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Duomen\u0173 imputacija<\/strong>Tr\u016bkstami duomenys yra da\u017ena derliaus duomen\u0173 rinkini\u0173 problema. Duomen\u0173 priskyrimo metodai automati\u0161kai \u012fvertina ir u\u017epildo tr\u016bkstamas vertes, remdamiesi duomen\u0173 modeliais ir ry\u0161iais.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pavyzd\u017eiui, jei jutiklis ne\u012fra\u0161o duomen\u0173 tam tikr\u0105 laikotarp\u012f, imputacijos metodai gali \u012fvertinti tr\u016bkstamas vertes pagal gretimus duomen\u0173 ta\u0161kus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tod\u0117l automatizuoti duomen\u0173 valymo metodai yra duomen\u0173 kokyb\u0117s sargai, u\u017etikrinantys, kad derliaus duomen\u0173 rinkiniai i\u0161likt\u0173 patikimu ir vertingu turtu \u016bkininkams visame pasaulyje.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Be to, yra daug patogi\u0173 \u012franki\u0173 ir kompiuterini\u0173 program\u0173, kurios gali automati\u0161kai i\u0161valyti ir koreguoti derliaus duomenis, ir \u201eGeoPard\u201c yra viena i\u0161 j\u0173. \u201eGeoPard Yield Clean-Calibration\u201c modulis kartu su pana\u0161iais sprendimais yra labai svarbus siekiant u\u017etikrinti duomen\u0173 tikslum\u0105 ir patikimum\u0105.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a href=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"324\" data-attachment-id=\"8232\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/automated-yield-data-cleaning-and-calibration\/geopard-yield-cleaning-calibration-3-harvesters\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?fit=1920%2C767&amp;ssl=1\" data-orig-size=\"1920,767\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"GeoPard &amp;#8211; Yield Cleaning &amp;#038; Calibration &amp;#8211; 3 harvesters\" data-image-description=\"&lt;p&gt;Cleaning and Calibrating data from multiple harvesters&lt;\/p&gt;\" data-image-caption=\"&lt;p&gt;Cleaning and Calibrating data from multiple harvesters&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?fit=1024%2C409&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=810%2C324&#038;ssl=1\" alt=\"\u201eGeoPard\u201c \u2013 derliaus valymas ir kalibravimas \u2013 3 kombainai\" class=\"wp-image-8232\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=300%2C120&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=1024%2C409&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=768%2C307&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=1536%2C614&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?resize=1200%2C479&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/09\/GeoPard-Yield-Cleaning-Calibration-3-harvesters.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/a><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">I\u0161vada<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Automatinis derliaus duomen\u0173 valymas ir kalibravimas (AYDCC) yra b\u016btinas tiksliojoje \u017eemdirbyst\u0117je. Jis u\u017etikrina pas\u0117li\u0173 duomen\u0173 tikslum\u0105 pa\u0161alindamas klaidas ir gerindamas kokyb\u0119, suteikdamas \u016bkininkams galimyb\u0119 priimti pagr\u012fstus sprendimus. AYDCC sprend\u017eia duomen\u0173 i\u0161\u0161\u016bkius ir naudoja automatizuotus metodus, kad gaut\u0173 patikimus rezultatus. Tokios priemon\u0117s kaip \u201eGeoPard\u201c derliaus valymo ir kalibravimo modulis supaprastina \u0161\u012f proces\u0105 \u016bkininkams, prisid\u0117damas prie efektyvios ir produktyvios \u016bkininkavimo praktikos.<\/p>","protected":false},"excerpt":{"rendered":"<p>Automatinis derliaus duomen\u0173 valymas ir kalibravimas (AYDCC) yra procesas, kurio metu naudojami algoritmai ir modeliai, skirti aptikti ir i\u0161taisyti derliaus duomen\u0173 klaidas, pvz.,\u2026<\/p>","protected":false},"author":210157960,"featured_media":8230,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1657,1660,1661,1377,1378,1368],"tags":[],"class_list":["post-8223","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-agriculture-mapping","category-satellite-imagery","category-crop-monitoring","category-remote-sensing","category-yield"],"acf":[],"yoast_head":"<!-- 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