{"id":12582,"date":"2025-11-09T18:06:42","date_gmt":"2025-11-09T17:06:42","guid":{"rendered":"https:\/\/geopard.tech\/?p=12582"},"modified":"2026-01-16T18:52:26","modified_gmt":"2026-01-16T17:52:26","slug":"geopard-i-uniwersytet-cornell-nawiazuja-wspolprace-nmsp-w-zakresie-rolnictwa-opartego-na-danych","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pl\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/","title":{"rendered":"Wsp\u00f3\u0142praca GeoPard i Cornell University CAST i NMSP w zakresie rolnictwa opartego na danych"},"content":{"rendered":"<p>Cornell Agricultural Systems Testbed and Demonstration Site (CAST) na potrzeby Farmy Przysz\u0142o\u015bci oraz Cornell Nutrient Management Spear Program (NMSP) po\u0142\u0105czy\u0142y si\u0142y z platform\u0105 precyzyjnego rolnictwa GeoPard Agriculture, aby przekszta\u0142ci\u0107 surowe dane dotycz\u0105ce plon\u00f3w w praktyczne zalecenia dotycz\u0105ce rolnictwa.<\/p>\n<p>CAST \u2013 grupa trzech rzeczywistych gospodarstw rolnych w stanie Nowy Jork \u2013 s\u0142u\u017cy jako poligon do\u015bwiadczalny dla technologii \u201cGospodarstwa Przysz\u0142o\u015bci\u201d, rozwijaj\u0105c rozwi\u0105zania oparte na danych dla produkcji ro\u015blinnej i mleczarskiej. Zesp\u00f3\u0142 NMSP prowadzi badania, wspiera transfer technologii i wiedzy oraz pomaga we wdra\u017caniu w gospodarstwach rolnych korzystnych strategii zarz\u0105dzania sk\u0142adnikami od\u017cywczymi w uprawach polowych, aby zwi\u0119kszy\u0107 zr\u00f3wnowa\u017cony rozw\u00f3j gospodarstw w ca\u0142ym stanie Nowy Jork.<\/p>\n<p>GeoPard wsp\u00f3\u0142pracuje z CAST i NMSP w celu udoskonalenia przetwarzania danych i przekszta\u0142cenia ich w ulepszone narz\u0119dzia do cyfrowej agronomii \u2013 po\u0142\u0105czenie nauki, technologii i pr\u00f3b prowadzonych przez rolnik\u00f3w, kt\u00f3re stanowi przyk\u0142ad przysz\u0142o\u015bci rolnictwa precyzyjnego.<\/p>\n<h2>CAST i NMSP na Uniwersytecie Cornella<\/h2>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"12594\" data-permalink=\"https:\/\/geopard.tech\/pl\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/cornells-cast-testbed-and-the-nmsp\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?fit=1920%2C1080&amp;ssl=1\" data-orig-size=\"1920,1080\" 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=\"Cornell\u2019s CAST Testbed and the NMSP\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?fit=1024%2C576&amp;ssl=1\" class=\"alignnone size-full wp-image-12594\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=810%2C456&#038;ssl=1\" alt=\"Platforma testowa CAST na Uniwersytecie Cornella i NMSP\" width=\"810\" height=\"456\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=1536%2C864&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>CAST jest cz\u0119\u015bci\u0105 inicjatywy USDA NIFA \u201cFarm of the Future\u201d i dzia\u0142a pod auspicjami Cornell Institute for Digital Agriculture. CAST zrzesza trzy gospodarstwa rolne na skal\u0119 komercyjn\u0105 (z uprawami i produkcj\u0105 mleka) w ramach jednolitego ekosystemu badawczo-rozwojowego. Jego misj\u0105 jest testowanie i demonstrowanie zintegrowanych technologii rolnictwa precyzyjnego (od robotyki po analiz\u0119 danych) w rzeczywistych warunkach rolniczych.<\/p>\n<p>R\u00f3wnocze\u015bnie, program Nutrient Management Spear Program (NMSP), kierowany przez dr Quirine Ketterings, koncentruje si\u0119 na badaniach i upowszechnianiu wiedzy dotycz\u0105cej gleby i upraw. Zesp\u00f3\u0142 NMSP ocenia wykorzystanie sk\u0142adnik\u00f3w od\u017cywczych i zmienno\u015b\u0107 plon\u00f3w w gospodarstwach rolnych; na przyk\u0142ad, jako pierwszy opracowa\u0142 \u201cstrefy stabilno\u015bci plon\u00f3w\u201d, \u0142\u0105cz\u0105c dane z trzech lub wi\u0119cej lat, aby konsekwentnie mapowa\u0107 obszary o wysokich i niskich plonach w por\u00f3wnaniu z miejscami o zmiennej wydajno\u015bci.<\/p>\n<p>Te mapy stref stabilno\u015bci (ze strefami Q1\u2013Q4 dla sp\u00f3jno\u015bci plon\u00f3w wysokich\/niskich) i nowe projekty do\u015bwiadczalne, takie jak podej\u015bcie SSEA (ang. Single-strip Spatial Evaluation Approach), pomagaj\u0105 rolnikom testowa\u0107 w gospodarstwach rolnych, czy zmiany w zarz\u0105dzaniu przynosz\u0105 efekty, bior\u0105c pod uwag\u0119 znan\u0105 zmienno\u015b\u0107 na danym polu.<\/p>\n<h2>Platforma rolnicza GeoPard<\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"10804\" data-permalink=\"https:\/\/geopard.tech\/pl\/home\/geopard-background-precision-ag-software-do-more-with-your-data\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?fit=3116%2C1754&amp;ssl=1\" data-orig-size=\"3116,1754\" 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; Background &amp;#8211; Precision Ag software &amp;#8211; Do more with your data\" data-image-description=\"&lt;p&gt;GeoPard-Background-Precision-Ag-software-Do-more-with-your-data&lt;\/p&gt;\" data-image-caption=\"&lt;p&gt;GeoPard-Background-Precision-Ag-software-Do-more-with-your-data&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?fit=1024%2C576&amp;ssl=1\" class=\"size-full wp-image-10804\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=810%2C456&#038;ssl=1\" alt=\"GeoPard-Background-Precision-Ag-software-Zr\u00f3b-wi\u0119cej-ze-swoimi-danymi\" width=\"810\" height=\"456\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=3116&amp;ssl=1 3116w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=1536%2C865&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=2048%2C1153&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=1620&amp;ssl=1 1620w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=2430&amp;ssl=1 2430w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>GeoPard Agriculture oferuje oparty na chmurze modu\u0142 analityczny, kt\u00f3ry przetwarza wszelkie dane geoprzestrzenne dotycz\u0105ce gospodarstw rolnych. Jak twierdzi GeoPard, platforma jest \u201cbezstronnym, opartym na chmurze, pot\u0119\u017cnym narz\u0119dziem analitycznym dla rolnictwa precyzyjnego\u201d, zdolnym do obs\u0142ugi wielowarstwowych, wieloletnich danych. W praktyce GeoPard przetwarza pliki monitor\u00f3w plon\u00f3w, mapy gleb, zdj\u0119cia satelitarne i inne dane, aby tworzy\u0107 gotowe do u\u017cycia mapy i receptury. Kluczowe funkcje obejmuj\u0105 generowanie wieloletnich stref zarz\u0105dzania i map receptur o zmiennym dawkowaniu (VRA), szczeg\u00f3\u0142ow\u0105 analiz\u0119 danych dotycz\u0105cych plon\u00f3w oraz narz\u0119dzia do monitorowania upraw.<\/p>\n<p>Na przyk\u0142ad, GeoPard mo\u017ce oczyszcza\u0107 i kalibrowa\u0107 surowe dane dotycz\u0105ce plon\u00f3w kombajn\u00f3w, a nawet tworzy\u0107 syntetyczne mapy plon\u00f3w (oszacowuj\u0105c plony na podstawie danych z satelit\u00f3w\/dron\u00f3w), aby wype\u0142ni\u0107 luki w danych historycznych. Platforma obs\u0142uguje r\u00f3wnie\u017c analiz\u0119 danych topograficznych i glebowych, wizualizacj\u0119 terenu 3D, por\u00f3wnywanie danych po zastosowaniu i wiele innych.<\/p>\n<ul>\n<li><strong>Mapowanie strefy zarz\u0105dzania i VRA:<\/strong> GeoPard wykorzystuje warstwy plon\u00f3w\/gleby do wyznaczenia stref pola i tworzenia map recepturowych w celu precyzyjnego zastosowania nawoz\u00f3w.<\/li>\n<li><strong>Przetwarzanie danych o wydajno\u015bci:<\/strong> System umo\u017cliwia automatyczne czyszczenie i kalibracj\u0119 rejestr\u00f3w plon\u00f3w kombajnu oraz mo\u017ce generowa\u0107 syntetyczne mapy plon\u00f3w w oparciu o wieloletnie dane i dane uzyskane metod\u0105 teledetekcji.<\/li>\n<li><strong>Monitorowanie upraw i p\u00f3l:<\/strong> Narz\u0119dzia satelitarne i analityka wielowska\u017anikowa pomagaj\u0105 wykrywa\u0107 trendy przestrzenne w wydajno\u015bci upraw i czynniki ograniczaj\u0105ce z roku na rok.<\/li>\n<\/ul>\n<h2>Wsp\u00f3\u0142praca badawcza i pr\u00f3by terenowe<\/h2>\n<p>W ramach tej wsp\u00f3\u0142pracy CAST i NMSP badaj\u0105 platform\u0119 GeoPard Agriculture pod k\u0105tem przetwarzania surowej kiszonki kukurydzianej i danych z monitorowania plon\u00f3w ziarna w celu uzyskania oczyszczonych map plon\u00f3w, stref stabilno\u015bci plon\u00f3w oraz w celu oceny dok\u0142adno\u015bci generowania syntetycznych danych dotycz\u0105cych plon\u00f3w.<\/p>\n<p>Quirine Ketterings i jej zesp\u00f3\u0142 z NMSP wykorzystuj\u0105 dane z p\u00f3l CAST do oceny i poprawy dok\u0142adno\u015bci algorytm\u00f3w GeoPard do mapowania plon\u00f3w, a tak\u017ce do okre\u015blania plon\u00f3w syntetycznych zar\u00f3wno dla ca\u0142ych p\u00f3l, jak i na potrzeby eksperyment\u00f3w. Wraz z GeoPard, Ketterings i jej zesp\u00f3\u0142 oceniaj\u0105 jako\u015b\u0107 danych i protoko\u0142y, aby generowa\u0107 mapy stref stabilno\u015bci plon\u00f3w dla p\u00f3l z danymi z wielu lat.<\/p>\n<div id=\"attachment_12591\" style=\"width: 810px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" decoding=\"async\" aria-describedby=\"caption-attachment-12591\" data-attachment-id=\"12591\" data-permalink=\"https:\/\/geopard.tech\/pl\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?fit=800%2C450&amp;ssl=1\" data-orig-size=\"800,450\" 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 and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?fit=800%2C450&amp;ssl=1\" class=\"wp-image-12591 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=800%2C450&#038;ssl=1\" alt=\"Wsp\u00f3\u0142praca GeoPard i Cornell University CAST i NMSP w zakresie rolnictwa opartego na danych\" width=\"800\" height=\"450\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?w=800&amp;ssl=1 800w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=768%2C432&amp;ssl=1 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><p id=\"caption-attachment-12591\" class=\"wp-caption-text\">Zdj\u0119cie autorstwa Madeline Hanscom\/NMSP<\/p><\/div>\n<p>Ich celem jest analiza zar\u00f3wno konwencjonalnych bada\u0144 w gospodarstwach rolnych, jak i nowo opracowanej metody SSEA (Single-strip Spatial Evaluation Approach), kt\u00f3ra wykorzystuje wiedz\u0119 o zmienno\u015bci plon\u00f3w na polu. Kluczowe aspekty wsp\u00f3\u0142pracy obejmuj\u0105:<\/p>\n<ol>\n<li><strong>Integracja danych:<\/strong> Dane dotycz\u0105ce zbior\u00f3w i precyzji systemu CAST s\u0105 przetwarzane w oprogramowaniu GeoPard, kt\u00f3re przekszta\u0142ca surowe pliki w georeferencyjne mapy plon\u00f3w i warstwy wydajno\u015bci.<\/li>\n<li><strong>Walidacja algorytmu:<\/strong> Algorytmy mapowania plon\u00f3w i plon\u00f3w syntetycznych GeoPard s\u0105 testowane na rygorystycznych danych z pr\u00f3b w gospodarstwach rolnych CAST\/NMSP, co pozwala na udoskonalenie technologii na podstawie rzeczywistych pomiar\u00f3w.<\/li>\n<li><strong>Analiza przestrzenna:<\/strong> Zesp\u00f3\u0142 generuje mapy stref stabilno\u015bci plon\u00f3w na podstawie danych gromadzonych przez wiele lat i ocenia, w jakim stopniu modele GeoPard odzwierciedlaj\u0105 rzeczywiste wzorce p\u00f3l.<\/li>\n<li><strong>Innowacyjny projekt badania:<\/strong> Nowe metody, takie jak SSEA, wykorzystuj\u0105 wzorce plon\u00f3w na danym polu, aby skutecznie por\u00f3wnywa\u0107 metody leczenia, co jest wspierane przez analiz\u0119 przestrzenn\u0105 GeoPard.<\/li>\n<\/ol>\n<p>Dzi\u0119ki wsp\u00f3\u0142pracy Cornell i GeoPard zapewniaj\u0105, \u017ce wyniki platformy s\u0105 oparte na realiach gospodarstw rolnych. Chocia\u017c GeoPard wykorzystuje zaawansowane modelowanie (w tym szacowanie plon\u00f3w na podstawie danych satelitarnych), walidacja na tych bogatych w dane gospodarstwach Cornell sprawia, \u017ce rekomendacje s\u0105 bardziej wiarygodne. Ta integracja nauki, technologii i rzeczywistych praktyk polowych tworzy p\u0119tl\u0119 sprz\u0119\u017cenia zwrotnego: zar\u00f3wno rolnicy, jak i naukowcy korzystaj\u0105 z bardziej niezawodnych narz\u0119dzi rolnictwa precyzyjnego.<\/p>\n<h2>Praktyczny wp\u0142yw: w kierunku zr\u00f3wnowa\u017conego rolnictwa precyzyjnego<\/h2>\n<p>Ostatecznym celem jest prze\u0142o\u017cenie wynik\u00f3w bada\u0144 na praktyczne wskaz\u00f3wki dla rolnik\u00f3w. Monitorowanie i mapowanie plon\u00f3w daje rolnikom wgl\u0105d w zmienno\u015b\u0107 w obr\u0119bie pola, umo\u017cliwiaj\u0105c ukierunkowane dzia\u0142ania zamiast zabieg\u00f3w zbiorczych. Badania pokazuj\u0105, \u017ce sp\u00f3jne mapowanie plon\u00f3w pomaga rolnikom \u201czobaczy\u0107, kt\u00f3re obszary pola dobrze prosperuj\u0105, a kt\u00f3re wymagaj\u0105 poprawy, co pomaga im w planowaniu bardziej precyzyjnych dzia\u0142a\u0144\u201d.<\/p>\n<p>Na przyk\u0142ad, rolnik mo\u017ce u\u017cywa\u0107 map GeoPard do nawo\u017cenia tylko tam, gdzie plony s\u0105 poni\u017cej \u015bredniej polowej, lub stosowa\u0107 praktyki ochrony gleby w strefach o stale niskich plonach. Dostarczaj\u0105c oczyszczone dane, mapy analizy stabilno\u015bci plon\u00f3w i syntetyczne benchmarki, partnerstwo Cornell\u2013GeoPard wspiera podejmowanie op\u0142acalnych i przyjaznych dla \u015brodowiska decyzji.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cornell Agricultural Systems Testbed and Demonstration Site (CAST) na rzecz Farmy Przysz\u0142o\u015bci oraz Cornell Nutrient Management Spear Program (NMSP) po\u0142\u0105czy\u0142y si\u0142y\u2026<\/p>","protected":false},"author":210157960,"featured_media":12593,"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":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"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],"tags":[],"class_list":["post-12582","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-partnership"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"cornell CAST is exploring the GeoPard Agriculture platform for processing corn silage and grain yield monitor data into yield maps.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/pl\/blog\/geopard-i-uniwersytet-cornell-nawiazuja-wspolprace-nmsp-w-zakresie-rolnictwa-opartego-na-danych\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture - GeoPard Agriculture\" \/>\n<meta property=\"og:description\" content=\"cornell CAST is exploring the GeoPard Agriculture platform for processing corn silage and grain yield monitor data into yield maps.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/pl\/blog\/geopard-i-uniwersytet-cornell-nawiazuja-wspolprace-nmsp-w-zakresie-rolnictwa-opartego-na-danych\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - Precision agriculture Mapping software\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/geopardAgriculture\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-09T17:06:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-16T17:52:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"dementievgeopard\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:site\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:label1\" content=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"dementievgeopard\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minut\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/\"},\"author\":{\"name\":\"dementievgeopard\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/dd217733c742620adc57befbbcd84a8a\"},\"headline\":\"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture\",\"datePublished\":\"2025-11-09T17:06:42+00:00\",\"dateModified\":\"2026-01-16T17:52:26+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/\"},\"wordCount\":921,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1\",\"articleSection\":[\"Partnership\"],\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/\",\"url\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/\",\"name\":\"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture - GeoPard Agriculture\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1\",\"datePublished\":\"2025-11-09T17:06:42+00:00\",\"dateModified\":\"2026-01-16T17:52:26+00:00\",\"description\":\"cornell CAST is exploring the GeoPard Agriculture platform for processing corn silage and grain yield monitor data into yield maps.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#primaryimage\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1\",\"width\":1920,\"height\":1080},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/geopard.tech\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"name\":\"GeoPard - Precision agriculture software\",\"description\":\"Precision agriculture Mapping software\",\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"alternateName\":\"GeoPard\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/geopard.tech\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\",\"name\":\"GeoPard Agriculture\",\"alternateName\":\"GeoPard\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1\",\"width\":512,\"height\":68,\"caption\":\"GeoPard Agriculture\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/geopardAgriculture\\\/\",\"https:\\\/\\\/x.com\\\/geopardagri\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/geopard-agriculture\\\/\",\"https:\\\/\\\/www.instagram.com\\\/geopardagriculture\\\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/dd217733c742620adc57befbbcd84a8a\",\"name\":\"dementievgeopard\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"caption\":\"dementievgeopard\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Wsp\u00f3\u0142praca GeoPard i Uniwersytetu Cornell CAST i NMSP w zakresie rolnictwa opartego na danych \u2013 GeoPard Agriculture","description":"cornell CAST bada platform\u0119 GeoPard Agriculture pod k\u0105tem przetwarzania danych z monitorowania plon\u00f3w kiszonki kukurydzianej i zb\u00f3\u017c na mapy plon\u00f3w.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/geopard.tech\/pl\/blog\/geopard-i-uniwersytet-cornell-nawiazuja-wspolprace-nmsp-w-zakresie-rolnictwa-opartego-na-danych\/","og_locale":"pl_PL","og_type":"article","og_title":"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture - GeoPard Agriculture","og_description":"cornell CAST is exploring the GeoPard Agriculture platform for processing corn silage and grain yield monitor data into yield maps.","og_url":"https:\/\/geopard.tech\/pl\/blog\/geopard-i-uniwersytet-cornell-nawiazuja-wspolprace-nmsp-w-zakresie-rolnictwa-opartego-na-danych\/","og_site_name":"GeoPard - Precision agriculture Mapping software","article_publisher":"https:\/\/www.facebook.com\/geopardAgriculture\/","article_published_time":"2025-11-09T17:06:42+00:00","article_modified_time":"2026-01-16T17:52:26+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png","type":"image\/png"}],"author":"dementievgeopard","twitter_card":"summary_large_image","twitter_creator":"@geopardagri","twitter_site":"@geopardagri","twitter_misc":{"Napisane przez":"dementievgeopard","Szacowany czas czytania":"5 minut"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#article","isPartOf":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/"},"author":{"name":"dementievgeopard","@id":"https:\/\/geopard.tech\/#\/schema\/person\/dd217733c742620adc57befbbcd84a8a"},"headline":"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture","datePublished":"2025-11-09T17:06:42+00:00","dateModified":"2026-01-16T17:52:26+00:00","mainEntityOfPage":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/"},"wordCount":921,"commentCount":0,"publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"image":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1","articleSection":["Partnership"],"inLanguage":"pl-PL","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/","url":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/","name":"Wsp\u00f3\u0142praca GeoPard i Uniwersytetu Cornell CAST i NMSP w zakresie rolnictwa opartego na danych \u2013 GeoPard Agriculture","isPartOf":{"@id":"https:\/\/geopard.tech\/#website"},"primaryImageOfPage":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#primaryimage"},"image":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1","datePublished":"2025-11-09T17:06:42+00:00","dateModified":"2026-01-16T17:52:26+00:00","description":"cornell CAST bada platform\u0119 GeoPard Agriculture pod k\u0105tem przetwarzania danych z monitorowania plon\u00f3w kiszonki kukurydzianej i zb\u00f3\u017c na mapy plon\u00f3w.","breadcrumb":{"@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#breadcrumb"},"inLanguage":"pl-PL","potentialAction":[{"@type":"ReadAction","target":["https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/"]}]},{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#primaryimage","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1","width":1920,"height":1080},{"@type":"BreadcrumbList","@id":"https:\/\/geopard.tech\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/geopard.tech\/"},{"@type":"ListItem","position":2,"name":"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture"}]},{"@type":"WebSite","@id":"https:\/\/geopard.tech\/#website","url":"https:\/\/geopard.tech\/","name":"GeoPard - Oprogramowanie dla rolnictwa precyzyjnego","description":"Oprogramowanie do mapowania w rolnictwie precyzyjnym","publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"alternateName":"GeoPard","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/geopard.tech\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pl-PL"},{"@type":"Organization","@id":"https:\/\/geopard.tech\/#organization","name":"GeoPard Rolnictwo","alternateName":"GeoPard","url":"https:\/\/geopard.tech\/","logo":{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/07\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/07\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1","width":512,"height":68,"caption":"GeoPard Agriculture"},"image":{"@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/geopardAgriculture\/","https:\/\/x.com\/geopardagri","https:\/\/www.linkedin.com\/company\/geopard-agriculture\/","https:\/\/www.instagram.com\/geopardagriculture\/"]},{"@type":"Person","@id":"https:\/\/geopard.tech\/#\/schema\/person\/dd217733c742620adc57befbbcd84a8a","name":"dementievgeopard","image":{"@type":"ImageObject","inLanguage":"pl-PL","@id":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","caption":"dementievgeopard"}}]}},"jetpack_publicize_connections":[],"jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pdiCPa-3gW","jetpack_featured_media_url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.png?fit=1920%2C1080&ssl=1","_links":{"self":[{"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/posts\/12582","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/users\/210157960"}],"replies":[{"embeddable":true,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/comments?post=12582"}],"version-history":[{"count":0,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/posts\/12582\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/media\/12593"}],"wp:attachment":[{"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/media?parent=12582"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/categories?post=12582"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geopard.tech\/pl\/wp-json\/wp\/v2\/tags?post=12582"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}