{"id":8223,"date":"2023-09-10T23:03:39","date_gmt":"2023-09-10T21:03:39","guid":{"rendered":"https:\/\/geopard.tech\/?p=8223"},"modified":"2026-09-13T11:21:35","modified_gmt":"2026-09-13T09:21:35","slug":"curatarea-si-calibrarea-automata-a-datelor-de-randament","status":"publish","type":"post","link":"https:\/\/geopard.tech\/ro\/blog\/automated-yield-data-cleaning-and-calibration\/","title":{"rendered":"Cur\u0103\u021barea \u0219i Calibrarea Automat\u0103 a Datelor de Recolt\u0103"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Cur\u0103\u021barea \u0219i calibrarea automat\u0103 a datelor de recolt\u0103 (CCADR) este un proces care utilizeaz\u0103 algoritmi \u0219i modele pentru a detecta \u0219i corecta erorile din datele de recolt\u0103, cum ar fi valorile aberante, discontinuit\u0103\u021bile sau biasurile. CCADR poate \u00eembun\u0103t\u0103\u021bi calitatea \u0219i fiabilitatea datelor de recolt\u0103, ceea ce poate duce la perspective \u0219i recomand\u0103ri mai bune pentru ferme.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-introduction-to-yield-data\">Introducere \u00een Datele de Randament<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Datele privind produc\u021bia sunt una dintre cele mai importante surse de informa\u021bii pentru fermieri \u00een secolul al XXI-lea. Se refer\u0103 la datele colectate de la diverse utilaje agricole, cum ar fi combinele, sem\u0103n\u0103torile \u0219i recoltatoarele, care m\u0103soar\u0103 cantitatea \u0219i calitatea culturilor produse \u00eentr-un anumit c\u00e2mp sau zon\u0103.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Acesta are o importan\u021b\u0103 imens\u0103 din mai multe motive. \u00cen primul r\u00e2nd, ajut\u0103 fermierii s\u0103 ia decizii informate. \u00cenarma\u021bi cu date detaliate despre recolt\u0103, fermierii \u00ee\u0219i pot ajusta practicile pentru a maximiza productivitatea.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, dac\u0103 un anumit c\u00e2mp produce constant randamente mai sc\u0103zute, fermierii pot investiga cauzele subiacente, cum ar fi s\u0103n\u0103tatea solului sau problemele de iriga\u021bii, \u0219i pot lua m\u0103suri corective.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mai mult, permite agricultura de precizie. Cartografind varia\u021biile performan\u021bei culturilor \u00een culturile lor, fermierii pot adapta aplicarea inputurilor, cum ar fi fertilizan\u021bii \u0219i pesticidele, la zone specifice. Aceast\u0103 abordare \u021bintit\u0103 nu numai c\u0103 optimizeaz\u0103 utilizarea resurselor, dar reduce \u0219i impactul asupra mediului.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Conform Organiza\u021biei Na\u021biunilor Unite pentru Alimenta\u021bie \u0219i Agricultur\u0103 (FAO), produc\u021bia agricol\u0103 global\u0103 trebuie s\u0103 creasc\u0103 cu 60% p\u00e2n\u0103 \u00een 2050 pentru a satisface cererea cresc\u00e2nd\u0103 de alimente. Datele privind recoltele, prin rolul lor \u00een \u00eembun\u0103t\u0103\u021birea productivit\u0103\u021bii culturilor, sunt esen\u021biale pentru atingerea acestui obiectiv.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mai mult, \u00een Brazilia, un fermier de soia a folosit date despre produc\u021bie, \u00eempreun\u0103 cu date din prelevarea de probe de sol, pentru a crea h\u0103r\u021bi de fertilizare cu rat\u0103 variabil\u0103 pentru culturile sale. El a aplicat rate diferite de fertilizator \u00een func\u021bie de fertilitatea solului \u0219i poten\u021bialul de produc\u021bie al fiec\u0103rei zone.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De asemenea, a folosit datele privind recolta pentru a compara diferite soiuri de soia \u0219i pentru a le selecta pe cele mai bune pentru condi\u021biile sale. Ca rezultat, \u0219i-a m\u0103rit recolta medie cu 12%\u0219i \u0219i-a redus costurile cu fertilizatorii cu 15% .<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00cen mod similar, \u00een India, un cultivator de orez a folosit, de asemenea, seturi de date despre produc\u021bie, \u00eempreun\u0103 cu date meteorologice, pentru a-\u0219i ajusta programul de irigare al culturilor. El a monitorizat nivelurile de umiditate din sol \u0219i modelele de ploaie folosind senzori \u0219i imagini din satelit.<\/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\/ro\/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-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=\"\u00cen\u021belegerea \u0219i utilizarea datelor privind recolta\" 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\">El l-a folosit, de asemenea, pentru a compara diferite soiuri de orez \u0219i pentru a le alege pe cele mai bune pentru condi\u021biile sale. Ca urmare, \u0219i-a crescut produc\u021bia medie cu 10%\u0219i \u0219i-a redus consumul de ap\u0103 cu 20%.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00cen ciuda beneficiilor sale, datele privind rentabilitatea continu\u0103 s\u0103 se confrunte cu unele provoc\u0103ri \u00een ceea ce prive\u0219te dezvoltarea \u0219i adoptarea lor. Unele dintre aceste provoc\u0103ri includ:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Calitatea datelor:<\/strong> Precizia \u0219i fiabilitatea sa depind de calitatea senzorilor, de calibrarea utilajelor, de metodele de colectare a datelor \u0219i de tehnicile de procesare \u0219i analiz\u0103 a datelor. Calitatea slab\u0103 a datelor poate duce la erori, p\u0103rtiniri sau neconcordan\u021be care pot afecta validitatea \u0219i utilitatea datelor.<\/li>\n\n\n\n<li><strong>Acces la date:<\/strong> Disponibilitatea \u0219i accesibilitatea datelor privind recolta depind de accesul \u0219i de\u021binerea ma\u0219inilor agricole, a senzorilor, a dispozitivelor de stocare a datelor \u0219i a platformelor de date. Lipsa accesului sau a propriet\u0103\u021bii poate limita capacitatea fermierilor de a colecta, stoca, partaja sau utiliza propriile date.<\/li>\n\n\n\n<li><strong>Confiden\u021bialitatea datelor:<\/strong> Securitatea \u0219i confiden\u021bialitatea acestuia depind de protec\u021bia \u0219i reglementarea datelor de c\u0103tre fermieri, produc\u0103tori de ma\u0219ini, furnizori de date \u0219i utilizatori de date. Lipsa protec\u021biei sau a reglement\u0103rii poate expune datele la utilizare neautorizat\u0103 sau neetic\u0103, cum ar fi furtul, manipularea sau exploatarea.<\/li>\n\n\n\n<li><strong>Alfabetizare cu date<\/strong> \u00cen\u021belegerea \u0219i utilizarea datelor privind randamentul depind de abilit\u0103\u021bile \u0219i cuno\u0219tin\u021bele fermierilor, a consilierilor agricoli, a consultan\u021bilor \u0219i a cercet\u0103torilor. Lipsa de abilit\u0103\u021bi sau cuno\u0219tin\u021be poate \u00eempiedica capacitatea acestor actori de a interpreta, comunica sau aplica datele \u00een mod eficient.<\/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\/ro\/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-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=\"colectarea de seturi de date folosind ma\u0219ini agricole precum combinele de recoltat\" 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\">Prin urmare, pentru a dep\u0103\u0219i aceste provoc\u0103ri \u0219i a valorifica \u00eentregul poten\u021bial al datelor de recolt\u0103, este important\u0103 cur\u0103\u021barea \u0219i calibrarea datelor de recolt\u0103.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-introduction-to-yield-data-cleaning-and-calibration\">Introducere \u00een cur\u0103\u021barea \u0219i calibrarea datelor de produc\u021bie (yield)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Datele privind randamentul sunt surse valoroase de informa\u021bii pentru fermieri \u0219i cercet\u0103tori care doresc s\u0103 analizeze performan\u021ba culturilor, s\u0103 identifice zone de management \u0219i s\u0103 optimizeze procesul decizional. Cu toate acestea, ele necesit\u0103 adesea cur\u0103\u021bare \u0219i calibrare pentru a le asigura fiabilitatea \u0219i acurate\u021bea.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Calibrarea \u201cYieldDataset\u201d este o func\u021bionalitate care corecteaz\u0103 distribu\u021bia valorilor \u00een conformitate cu principii matematice, sporind integritatea de ansamblu a datelor. Aceasta consolideaz\u0103 calitatea lu\u0103rii deciziilor \u0219i face setul de date valoros pentru analize ulterioare aprofundate.<\/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\">Modul de Calibrare Curat\u0103 GeoPard Yield<\/h2>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">GeoPard a f\u0103cut posibil\u0103 cur\u0103\u021barea \u0219i corectarea seturilor de date de produc\u021bie agricol\u0103 cu ajutorul modulului s\u0103u Yield Clean-Calibration. <\/p>\n\n\n\n\n\n<p class=\"wp-block-paragraph\">Am f\u0103cut mai u\u0219or ca niciodat\u0103 s\u0103 \u00eembun\u0103t\u0103\u021bi\u021bi calitatea seturilor de date agricole, oferind fermierilor posibilitatea de a lua decizii bazate pe date pe care v\u0103 pute\u021bi baza.<\/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\/ro\/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-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=\"GeoPard - Cur\u0103\u021barea \u0219i Calibrarea Randamentului, similar zonelor de poten\u021bial ale c\u00e2mpului\" 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\">Dup\u0103 calibrare \u0219i cur\u0103\u021bare, setul de date rezultat privind randamentul devine omogen, f\u0103r\u0103 valori aberante sau modific\u0103ri bru\u0219te \u00eentre geometriile vecine. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cu noul nostru modul, pute\u021bi:<\/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\/ro\/?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-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=\"Selecta\u021bi o op\u021biune pentru a continua\" 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\">Selecta\u021bi o op\u021biune pentru a continua<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>Elimin\u0103 punctele de date corupte, suprapuse \u0219i subnormale<\/li>\n\n\n\n<li>Calibreaz\u0103 valorile de randament pe mai multe ma\u0219ini<\/li>\n\n\n\n<li>Ini\u021bia\u021bi calibrarea cu doar c\u00e2teva clicuri (simplific\u00e2nd experien\u021ba utilizatorului) sau executa\u021bi punctul final API GeoPad asociat<\/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=\"Vaizd\u0173 karusel\u0117\" 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 i\u0161 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=\"Cur\u0103\u021barea \u0219i calibrarea automat\u0103 a datelor de randament cu GeoPard (1)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 i\u0161 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=\"Cur\u0103\u021barea \u0219i Calibrarea Automat\u0103 a Datelor de Randament cu GeoPard (2)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 i\u0161 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=\"Cur\u0103\u021barea automat\u0103 a datelor de produc\u021bie \u0219i calibrarea cu GeoPard (3)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"4 i\u0161 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=\"Cur\u0103\u021barea_automatizat\u0103_a_datelor_de_randament_Calibrare_cu_GeoPard (4)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"5 i\u0161 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=\"Cur\u0103\u021barea automat\u0103 a datelor privind randamentul \u0219i calibrarea cu GeoPard (5)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"6 i\u0161 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=\"Cur\u0103\u021barea \u0219i calibrarea automat\u0103 a datelor de produc\u021bie cu GeoPard (6)\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"7 i\u0161 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=\"Cur\u0103\u021barea \u0219i Calibrarea Automat\u0103 a Datelor de Recolt\u0103 cu 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\">Printre cele mai comune cazuri de utilizare ale cur\u0103\u021b\u0103rii \u0219i calibr\u0103rii automate a datelor de produc\u021bie se num\u0103r\u0103:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sincronizarea datelor atunci c\u00e2nd mai multe echipamente de recoltare au lucrat fie simultan, fie pe parcursul mai multor zile, asigur\u00e2nd consisten\u021ba.<\/li>\n\n\n\n<li>Omogenizarea \u0219i acurate\u021bea setului de date prin netezirea varia\u021biilor.<\/li>\n\n\n\n<li>Eliminarea zgomotului din date \u0219i a informa\u021biilor nerelevante care pot \u00eence\u021bo\u0219a perspectivele.<\/li>\n\n\n\n<li>Eliminarea punctelor de cotitur\u0103 sau a geometriilor anormale, care pot distorsiona tiparele \u0219i tendin\u021bele reale din domeniu.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00cen imaginea de mai jos, pute\u021bi vedea un c\u00e2mp unde 15 combine au lucrat \u00een acela\u0219i timp. Aceasta arat\u0103 c\u00e2t de diferit \u0219i u\u0219or de \u00een\u021beles arat\u0103 setul de date original al randamentului \u0219i setul de date \u00eembun\u0103t\u0103\u021bit dup\u0103 calibrare cu modulul de calibrare curat\u0103 GeoPard.<\/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\/ro\/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-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=\"diferen\u021ba dintre seturile de date de randament originale \u0219i cele \u00eembun\u0103t\u0103\u021bite cu Modulul de Calibrare GeoPard\" 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>De ce este important\u0103 cur\u0103\u021barea \u0219i calibrarea?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Datele despre recolt\u0103 sunt colectate de monitoare de recolt\u0103 \u0219i senzori ata\u0219a\u021bi la combine. Aceste dispozitive m\u0103soar\u0103 rata de curgere a masei \u0219i umiditatea culturii recoltate \u0219i utilizeaz\u0103 coordonate GPS pentru a georeferen\u021bia datele.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cu toate acestea, aceste m\u0103sur\u0103tori nu sunt \u00eentotdeauna precise sau consistente, datorit\u0103 diversilor factori care pot afecta performan\u021ba echipamentului sau condi\u021biile culturilor. Unii dintre ace\u0219ti factori sunt:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Varia\u021bii ale echipamentului:<\/strong> Ma\u0219inile agricole, cum ar fi combinele \u0219i recoltatoarele, au adesea varia\u021bii inerente care pot duce la discrepan\u021be \u00een colectarea datelor. Aceste varia\u021bii pot include diferen\u021be \u00een sensibilitatea senzorilor sau calibr\u0103rii ma\u0219inilor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, unii monitori de recolt\u0103 pot folosi o rela\u021bie liniar\u0103 \u00eentre tensiune \u0219i rata de curgere a masei, \u00een timp ce al\u021bii pot folosi una neliniar\u0103. Anumi\u021bi senzori pot fi mai sensibili la praf sau murd\u0103rie dec\u00e2t al\u021bii. Aceste varia\u021bii pot cauza discrepan\u021be \u00een datele de recolt\u0103 \u00eentre diferite ma\u0219ini sau culturi.<\/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\/ro\/?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-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=\"Exemplul 1 U-turn, Opriri, L\u0103\u021bimea jum\u0103tate de echipament utilizat\u0103\" 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\">Exemplul 1 U-turn, Opriri, L\u0103\u021bimea jum\u0103tate de echipament utilizat\u0103<\/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\/ro\/?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-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=\"Exemplul 2 \u00centoarceri, Oprire, Jum\u0103tate din l\u0103\u021bimea echipamentului utilizat\u0103\" 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\">Exemplul 2 \u00centoarceri, Oprire, Jum\u0103tate din l\u0103\u021bimea echipamentului utilizat\u0103<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Factori de mediu:<\/strong> Condi\u021biile meteorologice, tipurile de sol \u0219i topografia joac\u0103 roluri semnificative \u00een randamentele culturilor. Dac\u0103 nu sunt luate \u00een considerare, ace\u0219ti factori de mediu pot introduce zgomot \u0219i inexactit\u0103\u021bi \u00een datele privind randamentul.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, solurile nisipoase sau pantele abrupte pot cauza randamente mai mici dec\u00e2t solurile lutoase sau terenurile plane. De asemenea, zonele cu densitate mai mare a culturilor pot avea randamente mai mari dec\u00e2t zonele cu densitate mai mic\u0103.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Inexactit\u0103\u021bi ale senzorilor:<\/strong> Senzorii, \u00een ciuda preciziei lor, nu sunt infailibili. Ace\u0219tia pot deriva \u00een timp, oferind citiri inexacte dac\u0103 nu sunt calibra\u021bi \u00een mod regulat.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, o celul\u0103 de sarcin\u0103 defect\u0103 sau o conexiune electric\u0103 slab\u0103 pot cauza citiri inexacte ale debitului masic. Un senzor de umiditate murdar sau deteriorat poate oferi valori eronate ale con\u021binutului de umiditate. Un nume de c\u00e2mp sau un ID introdus gre\u0219it de operator poate atribui datele de produc\u021bie fi\u0219ierului gre\u0219it al c\u00e2mpului.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ace\u0219ti factori pot rezulta \u00een seturi de date despre randament care sunt zgomotoase, eronate sau inconsistente. Dac\u0103 aceste date nu sunt cur\u0103\u021bate \u0219i calibrate corespunz\u0103tor, ele pot duce la concluzii sau decizii \u00een\u0219el\u0103toare.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, utilizarea datelor de produc\u021bie necur\u0103\u021bate pentru crearea h\u0103r\u021bilor de produc\u021bie poate duce la identificarea gre\u0219it\u0103 a zonelor cu produc\u021bie mare sau mic\u0103 \u00een cadrul unui c\u00e2mp.<\/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\/ro\/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-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=\"De ce este important s\u0103 cur\u0103\u021b\u0103m \u0219i s\u0103 calibram seturile de date privind recolta\" 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\">Utilizarea seturilor de date de produc\u021bie necalibrate pentru a compara produc\u021biile \u00eentre culturi sau ani poate duce la compara\u021bii incorecte sau inexacte. Utilizarea datelor de produc\u021bie necur\u0103\u021bate sau necalibrate pentru a calcula balan\u021bele nutrien\u021bilor sau inputurile culturilor poate duce la supra- sau sub-aplicarea de \u00eengr\u0103\u0219\u0103minte sau pesticide.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prin urmare, este esen\u021bial\u0103 efectuarea cur\u0103\u021b\u0103rii \u0219i calibr\u0103rii datelor despre recolt\u0103 \u00eenainte de a le utiliza \u00een orice scop de analiz\u0103 sau de luare a deciziilor. Cur\u0103\u021barea seturilor de date despre recolt\u0103 este procesul de eliminare sau corectare a oric\u0103ror erori sau zgomote din datele brute despre recolt\u0103 colectate de monitoarele \u0219i senzorii de recolt\u0103.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-automated-methods-for-cleaning-and-calibrating-yield-data\">Metode automate pentru cur\u0103\u021barea \u0219i calibrarea datelor de produc\u021bie<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Aici intr\u0103 \u00een joc tehnicile automate de cur\u0103\u021bare a datelor. Tehnicile automate de cur\u0103\u021bare a datelor sunt metode care pot efectua sarcini de cur\u0103\u021bare a datelor f\u0103r\u0103 interven\u021bie uman\u0103 sau cu minim\u0103 interven\u021bie uman\u0103.<\/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\/ro\/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-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=\"Configura\u021bi pasul de Calibrare\" 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\">Metode automate pentru cur\u0103\u021bare \u0219i calibrare <\/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\">Tehnicile automate de cur\u0103\u021bare a datelor pot economisi timp \u0219i resurse, pot reduce erorile umane \u0219i pot spori scalabilitatea \u0219i eficien\u021ba cur\u0103\u021b\u0103rii datelor. Unele dintre tehnicile comune de cur\u0103\u021bare automat\u0103 a datelor pentru datele privind randamentul sunt:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. Detec\u021bia valorilor aberante:<\/strong> Valorile aberante sunt puncte de date care deviaz\u0103 semnificativ de la norm\u0103. Algoritmii automa\u021bi pot identifica aceste anomalii compar\u00e2nd punctele de date cu m\u0103suri statistice precum media, mediana \u0219i devia\u021bia standard.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, dac\u0103 un set de date privind recolta arat\u0103 o produc\u021bie excep\u021bional de mare pentru un anumit c\u00e2mp, un algoritm de detectare a anomaliilor \u00eel poate semnala pentru investiga\u021bii suplimentare.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. Reducerea zgomotului:<\/strong> Zgomotul din datele de produc\u021bie poate proveni din diverse surse, inclusiv factori de mediu \u0219i inexactit\u0103\u021bi ale senzorilor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tehnicile automate de reducere a zgomotului, cum ar fi algoritmii de netezire, elimin\u0103 fluctua\u021biile eronate, f\u0103c\u00e2nd datele mai stabile \u0219i mai fiabile. Acest lucru ajut\u0103 la identificarea tendin\u021belor \u0219i tiparelor reale din date.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. Imputarea datelor<\/strong>: Datele lips\u0103 reprezint\u0103 o problem\u0103 comun\u0103 \u00een seturile de date referitoare la randament. Tehnicile de imputare a datelor estimeaz\u0103 \u0219i completeaz\u0103 automat valorile lips\u0103 pe baza tiparelor \u0219i a rela\u021biilor din cadrul datelor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De exemplu, dac\u0103 un senzor nu reu\u0219e\u0219te s\u0103 \u00eenregistreze date pentru o anumit\u0103 perioad\u0103 de timp, metodele de imputare pot estima valorile lips\u0103 pe baza punctelor de date adiacente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prin urmare, tehnicile automate de cur\u0103\u021bare a datelor servesc drept gardieni ai calit\u0103\u021bii datelor, asigur\u00e2nd c\u0103 seturile de date despre produc\u021bie r\u0103m\u00e2n un atu de \u00eencredere \u0219i valoros pentru fermierii din \u00eentreaga lume.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mai mult, exist\u0103 o mul\u021bime de instrumente utile \u0219i programe pe calculator care pot cur\u0103\u021ba \u0219i ajusta automat datele de randament, iar GeoPard este unul dintre ele. Modulul GeoPard Yield Clean-Calibration, al\u0103turi de solu\u021bii similare, este extrem de important pentru a asigura acurate\u021bea \u0219i fiabilitatea datelor.<\/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\/ro\/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-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=\"GeoPard - Cur\u0103\u021barea \u0219i Calibrarea Recoltei - 3 combine\" 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\">Concluzie<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cur\u0103\u021barea \u0219i calibrarea automat\u0103 a datelor de recolt\u0103 (AYDCC) este esen\u021bial\u0103 \u00een agricultura de precizie. Aceasta asigur\u0103 acurate\u021bea datelor despre culturi prin eliminarea erorilor \u0219i \u00eembun\u0103t\u0103\u021birea calit\u0103\u021bii, permi\u021b\u00e2nd fermierilor s\u0103 ia decizii informate. AYDCC abordeaz\u0103 provoc\u0103rile legate de date \u0219i utilizeaz\u0103 tehnici automate pentru rezultate de \u00eencredere. Instrumente precum Modulul de cur\u0103\u021bare \u0219i calibrare a recoltei GeoPard simplific\u0103 acest proces pentru fermieri, contribuind la practici agricole eficiente \u0219i productive.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Odat\u0103 ce datele privind randamentul sunt curate, <a style=\"color:#15701e;text-decoration:underline;text-underline-offset:2px;font-weight:600\" href=\"https:\/\/geopard.tech\/ro\/raportul-privind-randamentul\/\">Raport automat de randament<\/a> merge mai departe: compar\u0103 recolta cu zonele sau cu ratele aplicate din sezonul respectiv, stabile\u0219te pre\u021bul pentru fiecare treapt\u0103 de pre\u021b \u0219i v\u0103 spune dac\u0103 produsul suplimentar s-a amortizat.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cur\u0103\u021barea \u0219i calibrarea automat\u0103 a datelor de produc\u021bie (AYDCC) este un proces care utilizeaz\u0103 algoritmi \u0219i modele pentru a detecta \u0219i corecta erorile din datele de produc\u021bie, cum ar fi\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_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":"","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":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - 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