{"id":322,"date":"2021-02-04T18:39:00","date_gmt":"2021-02-04T17:39:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=322"},"modified":"2026-09-13T10:54:19","modified_gmt":"2026-09-13T08:54:19","slug":"7b27v4yf41-derliaus-duomenys-ir-analize-geopard-platformoje","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/","title":{"rendered":"I\u0161eigos duomenys ir analiz\u0117 \u201eGeoPard\u201c"},"content":{"rendered":"<p class=\"wp-block-paragraph\">\u0160iame straipsnyje:<\/p>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li>Derliaus analiz\u0117s naudojimas tiksliojoje \u017eemdirbyst\u0117je<\/li>\r\n<li>I\u0161sami derliaus duomen\u0173 analiz\u0117 \u201eGeoPard Agriculture\u201c sistemoje\u00a0<\/li>\r\n<li>Kiekvieno atributo vizualizacija \u201eYield\u201c failuose<\/li>\r\n<li>Neapdorot\u0173 derliaus duomen\u0173 korekcija\u00a0<\/li>\r\n<li>5 Praktiniai derlingumo \u017eem\u0117lapi\u0173 naudojimo pavyzd\u017eiai<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large is-resized\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"324\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-03__181226\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?fit=1680%2C964&amp;ssl=1\" data-orig-size=\"1680,964\" data-comments-opened=\"1\" data-image-title=\"Raw and cleaned yield data in GeoPard\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?fit=1024%2C588&amp;ssl=1\" class=\"alignnone wp-image-324\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=810%2C465&#038;ssl=1\" alt=\"Neapdoroti ir i\u0161valyti derliaus duomenys \u201eGeoPard\u201c programoje\" width=\"810\" height=\"465\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1024%2C588&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=300%2C172&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=768%2C441&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1536%2C881&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1200%2C689&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Neapdoroti ir i\u0161valyti derliaus duomenys \u201eGeoPard\u201c programoje<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Derliaus duomenys\u00a0<\/strong>leid\u017eia priimti labiau pagr\u012fstus sprendimus ir didinti efektyvum\u0105.<br \/>Lauko tvarkymo zonos, sudarytos i\u0161 keli\u0173 met\u0173 derliaus duomen\u0173, tinka pradiniam potencialaus derliaus ir dirvo\u017eemio maistini\u0173 med\u017eiag\u0173 kintamumo \u012fvertinimui, kad b\u016bt\u0173 galima priimti b\u016bsimus pas\u0117li\u0173 tvarkymo sprendimus.<\/p>\r\n<p>Derliaus duomen\u0173 analiz\u0119 galima konvertuoti \u012f kintamos normos naudojimo \u017eem\u0117lap\u012f ir naudoti, pavyzd\u017eiui, tr\u0105\u0161\u0173 naudojimui. Jo kalibravimas yra dar viena tema, \u012f kuri\u0105 reikia atsi\u017evelgti, j\u0105 aptarsime atskirame tinklara\u0161\u010dio \u012fra\u0161e.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Pa\u017eangi \u201eGeoPard\u201c analiz\u0117\u00a0<\/strong>yra tai, kad galite atlikti daugiasluoksn\u0119 analiz\u0119, sujungdami kelis duomen\u0173 sluoksnius \u012f vien\u0105 \u017eem\u0117lap\u012f ir ie\u0161kodami ry\u0161i\u0173 tarp duomen\u0173 sluoksni\u0173.\u00a0<\/p>\r\n<p>Kombinuotos produktyvumo zonos gali b\u016bti generuojamos remiantis palydovini\u0173 vaizd\u0173 augmenijos indeksais, topografija, technikos duomenimis, tokiais kaip derlius, elektrinis laidumas, dirvo\u017eemio dr\u0117gm\u0117 ir kt., taip pat agrochemin\u0117s analiz\u0117s rezultatais.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Derliaus fail\u0173 vizualizacija\u00a0<\/strong>atliekamas automati\u0161kai atsisiuntus fail\u0105, jis apdorojamas ir i\u0161valomas automati\u0161kai. \u017demiau pateikiamos dvi \u017eem\u0117lapi\u0173 versijos \u2013 originalus vaizdas su \u012frangos monitoriaus duomenimis ir \u201eGeoPard\u201c vizualizacija.<\/p>\r\n<p>Neapdoroti duomenys buvo konvertuoti \u012f gradientin\u012f i\u0161tisin\u012f pavir\u0161iaus vaizd\u0105, kad b\u016bt\u0173 lengviau suprasti lauko heterogeni\u0161kum\u0105 ir sukurti valdymo zonas.<\/p>\r\n<p>Kiekvienas derliaus failo atributas yra prieinamas vizualizacijai, pvz., dr\u0117gm\u0117, derliaus mas\u0117, derliaus t\u016bris (\u0161lapias ir sausas), prispaudimo j\u0117ga, degal\u0173 s\u0105naudos, ma\u0161inos greitis ir kt.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Neapdorot\u0173 duomen\u0173 korekcija\u00a0<\/strong>rei\u0161kia, kad jei lauko ta\u0161kas yra nenat\u016bralus, jis bus i\u0161lygintas (pavyzd\u017eiui, apdorojant ne vis\u0105 kombaino pjaunamosios plot\u012f). Kuriant zonomis pagr\u012fstus derliaus duomenis, galima koreguoti atskiras zonas ir poligonus.\u00a0<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Pa\u017evelkime \u012f kelet\u0105 praktini\u0173 derlingumo \u017eem\u0117lapi\u0173 ir kit\u0173 \u201eGeoPard\u201c duomen\u0173 sluoksni\u0173 naudojimo pavyzd\u017ei\u0173.<\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>1. Valdymo zonos pagal derliaus duomenis.<\/strong>\u00a0Valdymo zonos gali b\u016bti sudaromos remiantis vieneri\u0173 met\u0173 arba keli\u0173 met\u0173 derliaus duomenimis. Svarbu atkreipti d\u0117mes\u012f, kad negalima tiesiogiai sujungti skirting\u0173 met\u0173 derliaus, nes bus palankesnis vieniems i\u0161 met\u0173.<\/p>\r\n<p>Siekdama suma\u017einti \u0161\u012f efekt\u0105, \u201eGeoPard\u201c taiko kelis algoritmus, kad kiekvien\u0173 met\u0173 svoris b\u016bt\u0173 vienodas. Kurdami daugiasluoksn\u012f \u017eem\u0117lap\u012f, galite nustatyti vien\u0173 met\u0173 svarb\u0105 naudodami svorio \u012frank\u012f.<\/p>\r\n<p>Tokios lauko valdymo zonos gali b\u016bti naudojamos sudarant naudojimo \/ recept\u0173 \/ Rx (VRA) \u017eem\u0117lapius, apskai\u010diuojant potencial\u0173 derli\u0173 kiekvienoje zonoje.<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"326\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_vr_seeding_m\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?fit=1680%2C874&amp;ssl=1\" data-orig-size=\"1680,874\" data-comments-opened=\"1\" data-image-title=\"Multi-year and multi-layer yield potential map\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?fit=1024%2C533&amp;ssl=1\" class=\"alignnone wp-image-326\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=810%2C422&#038;ssl=1\" alt=\"Daugiametis ir daugiasluoksnis potencialaus derliaus \u017eem\u0117lapis\" width=\"810\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1024%2C533&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=300%2C156&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=768%2C400&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1536%2C799&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1200%2C624&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Daugiametis ir daugiasluoksnis potencialaus derliaus \u017eem\u0117lapis<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>2. Daugiasluoksn\u0117s zonos su derliaus duomenimis ir kitais duomen\u0173 \u0161altiniais (topografija, dirvo\u017eemis, jutikliai, palydovai).\u00a0<\/strong>J\u012f galima prid\u0117ti prie <a href=\"\/lt\/tinklarastis\/daugiasluoksne-analize\/\">daugiasluoksn\u0117 analiz\u0117<\/a>\u00a0ir nustatykite svor\u012f, kur\u012f jis tur\u0117s galutin\u0117ms zonoms.<\/p>\r\n<p>\u0160iame pavyzdyje prie \u017eem\u0117lapio pridedami trys duomen\u0173 sluoksniai: derlius, palydoviniai vaizdai ir topografija. Galite sujungti bet kokius duomen\u0173 sluoksnius, kuriuos laikote svarbiais analizei. Daugiasluoksn\u012f \u017eem\u0117lap\u012f galima naudoti tolesnei derliaus analizei ir VRA \u017eem\u0117lapiams kurti.\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"810\" height=\"351\" data-attachment-id=\"327\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-02__184019\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?fit=1680%2C729&amp;ssl=1\" data-orig-size=\"1680,729\" data-comments-opened=\"1\" data-image-title=\"Yield, Topography and Satellite imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?fit=1024%2C444&amp;ssl=1\" class=\"wp-image-327\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=810%2C351&#038;ssl=1\" alt=\"Derlius, topografija ir palydoviniai vaizdai\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1024%2C444&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=300%2C130&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=768%2C333&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1536%2C667&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1200%2C521&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Daugiasluoksn\u0117s zonos: derlius, topografija ir palydoviniai vaizdai<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>3. Derliaus skai\u010diavimas zonos ir lauko lygmeniu.\u00a0<\/strong>Nor\u0117dami i\u0161analizuoti skirtingus apdorojimo b\u016bdus, s\u0117kl\u0173 veisles ir agronomin\u0119 praktik\u0105, tikriausiai nor\u0117site palyginti vidutin\u012f ir bendr\u0105 derli\u0173 kiekvienoje zonoje, juostoje arba tarp lauk\u0173.<\/p>\r\n<p>\u201eGeoPard\u201c automati\u0161kai tai apskai\u010diuoja, kad b\u016bt\u0173 lengviau palyginti derli\u0173 absoliu\u010diais skai\u010diais.\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"329\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_yield_estima\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?fit=626%2C938&amp;ssl=1\" data-orig-size=\"626,938\" data-comments-opened=\"1\" data-image-title=\"GeoPard calculates yield in abs numbers based on Yield files. Total and average for field and each zone\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?fit=626%2C938&amp;ssl=1\" class=\"alignnone wp-image-329\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?resize=626%2C938&#038;ssl=1\" alt=\"\u201eGeoPard\u201c apskai\u010diuoja derli\u0173 absoliu\u010diais skai\u010diais pagal derliaus failus. Bendras ir vidutinis lauko ir kiekvienos zonos rodiklis.\" width=\"626\" height=\"938\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?w=626&amp;ssl=1 626w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?resize=200%2C300&amp;ssl=1 200w\" sizes=\"(max-width: 626px) 100vw, 626px\" \/>\r\n<figcaption><em>\u201eGeoPard\u201c apskai\u010diuoja derli\u0173 absoliu\u010diais skai\u010diais pagal derliaus failus. Bendras ir vidutinis lauko ir kiekvienos zonos rodiklis.<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>4. Priklausomyb\u0117s zonos, pagr\u012fstos<\/strong> Derliaus duomenys. Derliaus duomenimis pagr\u012fstos zonos gali b\u016bti u\u017edengtos kitomis duomen\u0173 zonomis ir galite ie\u0161koti priklausomybi\u0173 tarp duomen\u0173 sluoksni\u0173. \u0160iame pavyzdyje parodytas skirting\u0173 kvie\u010di\u0173 veisli\u0173 didelio derliaus ir vidutinio baltym\u0173 kiekio (1) bei ma\u017eo derliaus ir didelio baltym\u0173 kiekio (2) perdengimas lauke.<\/p>\r\n<p>Kiti pavyzd\u017eiai apima topografijos \u012ftakos derliui ry\u0161\u012f, ma\u017eo derliaus sankirt\u0105 ir makro bei mikroelement\u0173 tr\u016bkum\u0105 dirvo\u017eemyje, dirvo\u017eemio dr\u0117gm\u0117s ir elektrinio laidumo (ES) sluoksnius.<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"330\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-02__184254\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?fit=895%2C1003&amp;ssl=1\" data-orig-size=\"895,1003\" data-comments-opened=\"1\" data-image-title=\"Intersections of different yield and protein levels\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?fit=895%2C1003&amp;ssl=1\" class=\"alignnone wp-image-330\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=810%2C908&#038;ssl=1\" alt=\"Skirting\u0173 derli\u0173 ir baltym\u0173 lygi\u0173 sankirtos \" width=\"810\" height=\"908\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?w=895&amp;ssl=1 895w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=268%2C300&amp;ssl=1 268w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=768%2C861&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Skirting\u0173 derli\u0173 ir baltym\u0173 lygi\u0173 sankirtos<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>5. Kintamo kiekio pur\u0161kimo (VRA) \u017eem\u0117lapiai\u00a0<\/strong>remiantis derliaus duomenimis. Galite kurti paskirtuosius \u017eem\u0117lapius \u012fvairioms operacijoms \u2013 tr\u0119\u0161imui, s\u0117jai, pur\u0161kimui, dr\u0117kinimui ir dirvo\u017eemio m\u0117gini\u0173 \u0117mimo planavimui. Galite redaguoti zon\u0173 skai\u010di\u0173 ir form\u0105.<\/p>\r\n<p>Taip pat galite sukurti kintamo kiekio pur\u0161kimo paskirties \u017eem\u0117lap\u012f, derindami derliaus duomenis su kitais duomen\u0173 \u0161altiniais (dirvo\u017eemio, EC, palydov\u0173, topografijos).\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"332\" data-permalink=\"https:\/\/geopard.tech\/lt\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_seeding_rate\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?fit=1680%2C696&amp;ssl=1\" data-orig-size=\"1680,696\" data-comments-opened=\"1\" data-image-title=\"Variable rate Seeding rates per zone\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?fit=1024%2C424&amp;ssl=1\" class=\"wp-image-332\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=810%2C336&#038;ssl=1\" alt=\"Kintama s\u0117jos norma kiekvienoje zonoje\" width=\"810\" height=\"336\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1024%2C424&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=300%2C124&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=768%2C318&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1536%2C636&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1200%2C497&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Kintamos s\u0117jos normos kiekvienoje zonoje<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Net jei neturite derliaus duomen\u0173, galite naudoti \u201eGeoPard\u201c\u00a0<a href=\"https:\/\/geopard.tech\/lt\/tinklarastis\/r8yc32d9jc-daugiametes-zonos\/\" target=\"_blank\" rel=\"noreferrer noopener\">daugiamet\u0117s zonos (iki 33 met\u0173)<\/a>\u00a0remiantis palydoviniais vaizdais arba\u00a0<a href=\"https:\/\/geopard.tech\/lt\/tinklarastis\/duomenu-sluoksniu-palyginimas-siekiant-priimti-pagristus-sprendimus-del-paseliu\/\">derinkite j\u012f su kitais duomen\u0173 sluoksniais, tokiais kaip topografija<\/a>\u00a0prad\u0117ti savo tiksliosios \u017eemdirbyst\u0117s kelion\u0119. \u0160ios analiz\u0117s da\u017enai koreliuoja su derliaus analiz\u0117s duomenimis, bet tai jau kita istorija.<\/p>\r\n<hr \/>\r\n<h2>Da\u017enai u\u017eduodami klausimai<\/h2>\r\n<hr \/>\r\n<p><strong>1. Kaip atlikti pajamingumo analiz\u0119?<\/strong><\/p>\r\n<p>Derliaus analiz\u0117 yra procesas, naudojamas pas\u0117li\u0173 ar \u017eem\u0117s \u016bkio sistemos produktyvumui ir na\u0161umui \u012fvertinti. \u0160tai pagrindin\u0117s derliaus analiz\u0117s atlikimo \u017eingsniai:<\/p>\r\n<ul>\r\n<li><strong>I\u0161matuokite bendr\u0105 nuimt\u0105 derli\u0173<\/strong>Surinkite vis\u0105 nuimt\u0105 derli\u0173 i\u0161 konkre\u010dios vietov\u0117s ir j\u012f pasverkite.<\/li>\r\n<li><strong>Nustatykite plot\u0105<\/strong>I\u0161matuokite arba apskai\u010diuokite bendr\u0105 \u017eem\u0117s plot\u0105, i\u0161 kurio buvo gautas derlius.<\/li>\r\n<li><strong>Apskai\u010diuokite derli\u0173 ploto vienetui:<\/strong> Bendr\u0105 nuimt\u0105 derli\u0173 padalykite i\u0161 ploto, kad gautum\u0117te derli\u0173 ploto vienetui (pvz., derli\u0173 i\u0161 hektaro).<\/li>\r\n<li><strong>Palyginkite ir i\u0161analizuokite:<\/strong> Palyginkite gaut\u0105 derli\u0173 su ankstesni\u0173 met\u0173 duomenimis arba regioniniais vidurkiais, kad \u012fvertintum\u0117te rezultatus ir nustatytum\u0117te bet kokius skirtumus ar tendencijas.<\/li>\r\n<\/ul>\r\n<p>Derliaus analiz\u0117 padeda \u016bkininkams priimti pagr\u012fstus sprendimus, steb\u0117ti pas\u0117li\u0173 produktyvum\u0105 ir nustatyti sritis, kurias reikia tobulinti \u016bkininkavimo praktikoje.<\/p>\r\n<p><strong>2. Kas yra derliaus duomenys?<\/strong><\/p>\r\n<p>Derliaus duomenys \u2013 tai surinkta ir u\u017eregistruota informacija apie pas\u0117li\u0173 ar \u017eem\u0117s \u016bkio produkcijos kiek\u012f, gaut\u0105 i\u0161 konkretaus \u017eem\u0117s ploto. Tai apima nuimto derliaus kiekio matavimus arba \u012fvertinimus, paprastai i\u0161rei\u0161kiamus svoriu arba t\u016briu.<\/p>\r\n<p>Tai suteikia verting\u0173 \u012f\u017evalg\u0173 apie pas\u0117li\u0173 produktyvum\u0105 ir na\u0161um\u0105, padeda \u016bkininkams priimti pagr\u012fstus sprendimus d\u0117l savo \u016bkininkavimo praktikos, \u012fvertinti skirting\u0173 metod\u0173 ar s\u0105naud\u0173 efektyvum\u0105 ir steb\u0117ti pas\u0117li\u0173 derliaus tendencijas ar poky\u010dius laikui b\u0117gant.<\/p>\r\n<p><strong>3. Kas yra potencialus pajamingumas?<\/strong><\/p>\r\n<p>Derlingumo potencialas rei\u0161kia maksimal\u0173 pasiekiam\u0105 pas\u0117lio derli\u0173 arba gamybos lyg\u012f idealiomis auginimo s\u0105lygomis. Tai rodo vir\u0161utin\u0119 rib\u0105, kuri\u0105 konkreti pas\u0117li\u0173 veisl\u0117 arba augal\u0173 r\u016b\u0161is gali duoti kiekio ir kokyb\u0117s po\u017ei\u016briu.<\/p>\r\n<p>Derliaus potencialui \u012ftakos turi \u012fvair\u016bs veiksniai, tokie kaip genetika, aplinkos s\u0105lygos, maistini\u0173 med\u017eiag\u0173 prieinamumas ir valdymo praktika. Tai yra atskaitos ta\u0161kas \u016bkininkams ir agronomams, siekiant \u012fvertinti skirting\u0173 augal\u0173 veisli\u0173 na\u0161um\u0105 ir produktyvum\u0105 bei nustatyti sritis, kuriose galima patobulinti derliaus lyg\u012f.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u0160iame straipsnyje: Derlingumo analiz\u0117s naudojimas tiksliojoje \u017eemdirbyst\u0117je I\u0161sami derlingumo duomen\u0173 analiz\u0117 \u201eGeoPard Agriculture\u201c programoje Kiekvieno atributo vizualizavimas derlingumo failuose Klaid\u0173 taisymas\u2026<\/p>","protected":false},"author":210157960,"featured_media":1472,"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_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1587,1368],"tags":[1617],"class_list":["post-322","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-partnership","category-yield","tag-geopard"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Yield analytics for Ag business<\/title>\n<meta name=\"description\" content=\"In this article, you can find content to help you properly use yield data in precision farming. 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