{"id":6762,"date":"2023-05-17T23:45:08","date_gmt":"2023-05-17T21:45:08","guid":{"rendered":"https:\/\/geopard.tech\/?p=6762"},"modified":"2024-11-12T18:47:41","modified_gmt":"2024-11-12T17:47:41","slug":"automatizeta-lauka-robezu-noteiksanas-modelis-preciza-lauksaimnieciba","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lv\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/","title":{"rendered":"Autom\u0101tisk\u0101s lauka robe\u017eu noteik\u0161anas modelis prec\u012bzijas lauksaimniec\u012bbai no GeoPard"},"content":{"rendered":"<p>GeoPard ir veiksm\u012bgi pabeigu\u0161i automatiz\u0113ta lauka robe\u017eu noteik\u0161anas mode\u013ca izstr\u0101di, izmantojot vair\u0101ku gadu satel\u012btatt\u0113lus, prec\u012bzu m\u0101ko\u0146u un \u0113nu noteik\u0161anu, k\u0101 ar\u012b uzlabotus patent\u0113tus algoritmus, tostarp dzi\u013cos neironu t\u012bklus.<\/p>\n<p>GeoPard lauka noteik\u0161anas modelis ir sasniedzis vismodern\u0101ko precizit\u0101ti <strong>0,975 uz krusto\u0161an\u0101s p\u0101r savien\u012bbu (IoU) metrikas<\/strong>, apstiprin\u0101ts da\u017e\u0101dos re\u0123ionos un kult\u016braugu veidos vis\u0101 pasaul\u0113.<\/p>\n<p>Apskatiet \u0161os att\u0113lus, lai redz\u0113tu rezult\u0101tus V\u0101cij\u0101 (vid\u0113jais lauka lielums ir 7 hekt\u0101ri):<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"6765\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/1-raw-sentinel-2-image\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" data-orig-size=\"695,439\" 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=\"1 &amp;#8211; Raw Sentinel-2 image\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" class=\"wp-image-6765 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=695%2C439&#038;ssl=1\" alt=\"1.\u00a0\u2014 Neapstr\u0101d\u0101ts Sentinel-2 att\u0113ls\" width=\"695\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?w=695&amp;ssl=1 695w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=300%2C189&amp;ssl=1 300w\" sizes=\"(max-width: 695px) 100vw, 695px\" \/><\/p>\n<p style=\"text-align: center;\">1.\u00a0\u2014 Neapstr\u0101d\u0101ts Sentinel-2 att\u0113ls<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6768\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/3-segmented-field-boundaries\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" data-orig-size=\"722,435\" 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=\"3 &amp;#8211; Segmented field boundaries\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" class=\"wp-image-6768 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=722%2C435&#038;ssl=1\" alt=\"3.\u00a0\u2014\u00a0Segment\u0113tas lauka robe\u017eas\" width=\"722\" height=\"435\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?w=722&amp;ssl=1 722w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=300%2C181&amp;ssl=1 300w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/><\/p>\n<p style=\"text-align: center;\">2.\u00a0\u2014 GeoPard \u012bpa\u0161i augstas iz\u0161\u0137irtsp\u0113jas Sentinel-2 att\u0113ls (1\u00a0metra iz\u0161\u0137irtsp\u0113ja)<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6766\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/2-super-resolution-sentinel-2-image-by-geopard\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" data-orig-size=\"724,440\" 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=\"2 &amp;#8211; Super-resolution Sentinel-2 image by GeoPard\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" class=\"wp-image-6766 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=724%2C440&#038;ssl=1\" alt=\"2\u00a0\u2014 GeoPard \u012bpa\u0161i augstas iz\u0161\u0137irtsp\u0113jas Sentinel-2 att\u0113ls\" width=\"724\" height=\"440\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?w=724&amp;ssl=1 724w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=300%2C182&amp;ssl=1 300w\" sizes=\"(max-width: 724px) 100vw, 724px\" \/><\/p>\n<p style=\"text-align: center;\">3.\u00a0\u2014 segment\u0113tas lauka robe\u017eas, <strong>0.975 <\/strong><strong>Krustpunkta p\u0101r savien\u012bbu (IoU) precizit\u0101tes r\u0101d\u012bt\u0101js, <\/strong>vair\u0101kos starptautiskos re\u0123ionos un kult\u016braugu veidos.<\/p>\n<hr \/>\n<p>Integr\u0101cija m\u016bsu API un GeoPard lietojumprogramm\u0101 b\u016bs pieejama dr\u012bzum\u0101. \u0160\u012b automatiz\u0113t\u0101 un izmaksu zi\u0146\u0101 efekt\u012bv\u0101 metode pal\u012bdz prognoz\u0113t ra\u017eu, sniedz labumu vald\u012bbas organiz\u0101cij\u0101m un pal\u012bdz lieliem zemes \u012bpa\u0161niekiem, kuriem bie\u017ei vien ir j\u0101atjaunina lauku robe\u017eas starp sezon\u0101m.<\/p>\n<p>GeoPard pieeja izmanto <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/product-tour-web-app\/satellite-monitoring\/crop-development-index-graph\">Daudzgad\u012bgu kult\u016braugu ve\u0123et\u0101cijas tendences<\/a> izmantojot daudzfaktoru anal\u012bzi un augseku.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/docs.geopard.tech\/~gitbook\/image?url=https%3A%2F%2F3272281156-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FYICBELdyAXXebKAzfLOR%252Fuploads%252FCPTPgYcnX5R6t8cY5NFW%252FGeoPard%2520-%2520Biomass%2520development%2520index%2520as%2520a%2520graph.png%3Falt%3Dmedia%26token%3D36d87266-093f-43b3-a14c-85f0a0cad58a&amp;width=768&amp;dpr=4&amp;quality=100&amp;sign=599c4c38&amp;sv=1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Modelis ir pieejams, izmantojot <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/api-docs\/geopard-api-overview\">GeoPard API<\/a> p\u0113c principa \u201cmaks\u0101, kad izmanto\u201d, pied\u0101v\u0101jot elast\u012bbu bez nepiecie\u0161am\u012bbas ieg\u0101d\u0101ties d\u0101rgus abonementus.<\/p>\n<p>&nbsp;<\/p>\n<h2>Kas ir lauka robe\u017eu noteik\u0161ana?<\/h2>\n<p>Lauku robe\u017eu noteik\u0161ana attiecas uz lauksaimniec\u012bbas lauku vai zemes gabalu robe\u017eu identific\u0113\u0161anas un kart\u0113\u0161anas procesu. Tas ietver da\u017e\u0101du meto\u017eu un datu avotu izmanto\u0161anu, lai noteiktu atsevi\u0161\u0137u lauku vai lauksaimniec\u012bbas zemes gabalu robe\u017eas.<\/p>\n<p>Tradicion\u0101li lauku robe\u017eas manu\u0101li noteica lauksaimnieki vai zemes \u012bpa\u0161nieki, pamatojoties uz sav\u0101m zin\u0101\u0161an\u0101m un nov\u0113rojumiem.<\/p>\n<p>Tom\u0113r, att\u012bstoties tehnolo\u0123ij\u0101m, jo \u012bpa\u0161i t\u0101lizp\u0113tes un \u0123eogr\u0101fisk\u0101s inform\u0101cijas sist\u0113mu (\u0122IS) jom\u0101, automatiz\u0113tas un da\u013c\u0113ji automatiz\u0113tas metodes ir k\u013cuvu\u0161as arvien izplat\u012bt\u0101kas.<\/p>\n<p>Viena izplat\u012bta pieeja ir satel\u012btu vai aerofotoatt\u0113lu anal\u012bze. Augstas iz\u0161\u0137irtsp\u0113jas att\u0113li, kas uz\u0146emti ar satel\u012btiem vai lidma\u0161\u012bn\u0101m, var sniegt detaliz\u0113tu inform\u0101ciju par ainavu, tostarp robe\u017e\u0101m starp da\u017e\u0101diem zemes gabaliem.<\/p>\n<p>\u0160iem att\u0113liem var pielietot att\u0113lu apstr\u0101des algoritmus, lai noteiktu at\u0161\u0137ir\u012bgas paz\u012bmes, piem\u0113ram, izmai\u0146as ve\u0123et\u0101cijas tip\u0101, kr\u0101s\u0101, tekst\u016br\u0101 vai rakstos, kas nor\u0101da uz lauka robe\u017eu kl\u0101tb\u016btni.<\/p>\n<p>Cita metode ietver LiDAR (gaismas noteik\u0161anas un diapazona) datu izmanto\u0161anu, kas izmanto l\u0101zera starus, lai m\u0113r\u012btu att\u0101lumu starp sensoru un Zemes virsmu.<\/p>\n<p>LiDAR dati var sniegt detaliz\u0113tu inform\u0101ciju par augstumu un topogr\u0101fisko inform\u0101ciju, \u013caujot identific\u0113t nelielas reljefa vari\u0101cijas, kas var atbilst lauka robe\u017e\u0101m.<\/p>\n<p>Turkl\u0101t \u0123eogr\u0101fisk\u0101s inform\u0101cijas sist\u0113m\u0101m (\u0122IS) ir iz\u0161\u0137iro\u0161a loma lauku robe\u017eu noteik\u0161an\u0101.<\/p>\n<p>\u0122IS programmat\u016bra \u013cauj integr\u0113t un analiz\u0113t da\u017e\u0101dus datu sl\u0101\u0146us, tostarp satel\u012btatt\u0113lus, topogr\u0101fisk\u0101s kartes, zemes \u012bpa\u0161umties\u012bbu re\u0123istrus un citu atbilsto\u0161u inform\u0101ciju. Apvienojot \u0161os datu avotus, \u0122IS var pal\u012bdz\u0113t lauku robe\u017eu interpret\u0101cij\u0101 un identific\u0113\u0161an\u0101.<\/p>\n<p>Prec\u012bza lauka norobe\u017eo\u0161ana ir b\u016btiska vair\u0101ku iemeslu d\u0113\u013c. T\u0101 atvieglo lauksaimniec\u012bbas resursu lab\u0101ku p\u0101rvald\u012bbu, \u013cauj izmantot prec\u012bz\u0101s lauksaimniec\u012bbas metodes un atbalsta t\u0101du lauksaimniec\u012bbas prak\u0161u k\u0101 ap\u016bde\u0146o\u0161ana, m\u0113slo\u0161ana un kait\u0113k\u013cu apkaro\u0161ana pl\u0101no\u0161anu un ievie\u0161anu.<\/p>\n<p>Prec\u012bzi lauka robe\u017eu dati pal\u012bdz ar\u012b zemes administr\u0113\u0161an\u0101, zemes izmanto\u0161anas pl\u0101no\u0161an\u0101 un lauksaimniec\u012bbas noteikumu iev\u0113ro\u0161an\u0101.<\/p>\n<h2>K\u0101 tas ir noder\u012bgi?<\/h2>\n<p>Tam ir iz\u0161\u0137iro\u0161a noz\u012bme lauksaimniec\u012bb\u0101 un zemes apsaimnieko\u0161an\u0101, sniedzot vair\u0101kas priek\u0161roc\u012bbas un noz\u012bmi, ko apstiprina pier\u0101d\u012bjumi un glob\u0101li skait\u013ci. \u0160eit ir da\u017ei galvenie punkti:<\/p>\n<p><strong>1. Prec\u012bz\u0101 lauksaimniec\u012bba:<\/strong> Prec\u012bzas lauka robe\u017eas pal\u012bdz ieviest prec\u012bz\u0101s lauksaimniec\u012bbas metodes, kur resursi, piem\u0113ram, \u016bdens, m\u0113slo\u0161anas l\u012bdzek\u013ci un pestic\u012bdi, tiek prec\u012bzi novirz\u012bti konkr\u0113t\u0101m lauka zon\u0101m.<\/p>\n<p>Saska\u0146\u0101 ar Pasaules Bankas zi\u0146ojumu, prec\u012bz\u0101s lauksaimniec\u012bbas tehnolo\u0123ij\u0101m ir potenci\u0101ls palielin\u0101t kult\u016braugu ra\u017eu par 20% un samazin\u0101t izejvielu izmaksas par 10\u201320%.<\/p>\n<p><strong>2. Efekt\u012bva resursu p\u0101rvald\u012bba:<\/strong> Tas \u013cauj lauksaimniekiem lab\u0101k p\u0101rvald\u012bt resursus, optimiz\u0113jot ap\u016bde\u0146o\u0161anas sist\u0113mas, piel\u0101gojot m\u0113slo\u0161anas praksi un uzraugot kult\u016braugu vesel\u012bbu. \u0160\u012b precizit\u0101te samazina resursu iz\u0161\u0137\u0113rd\u0113\u0161anu un ietekmi uz vidi.<\/p>\n<p>P\u0101rtikas un lauksaimniec\u012bbas organiz\u0101cija (FAO) l\u0113\u0161, ka prec\u012bz\u0101s lauksaimniec\u012bbas prakse var samazin\u0101t \u016bdens pat\u0113ri\u0146u par 20-50%, m\u0113slo\u0161anas l\u012bdzek\u013cu pat\u0113ri\u0146u par 10-20% un pestic\u012bdu lieto\u0161anu par 20-30%.<\/p>\n<p><strong>3. Zemes izmanto\u0161anas pl\u0101no\u0161ana:<\/strong> Prec\u012bzi lauka robe\u017eu dati ir b\u016btiski zemes izmanto\u0161anas pl\u0101no\u0161anai, nodro\u0161inot pieejam\u0101s lauksaimniec\u012bbas zemes efekt\u012bvu izmanto\u0161anu. Tas \u013cauj politikas veidot\u0101jiem un zemes apsaimniekot\u0101jiem pie\u0146emt pamatotus l\u0113mumus par zemes pie\u0161\u0137ir\u0161anu, augseku un zon\u0113jumu.<\/p>\n<p>Tas var palielin\u0101t lauksaimniec\u012bbas produktivit\u0101ti un uzlabot p\u0101rtikas nodro\u0161in\u0101jumu. P\u0113t\u012bjum\u0101, kas public\u0113ts \u017eurn\u0101l\u0101 &quot;Soil and Water Conservation&quot;, konstat\u0113ts, ka efekt\u012bva zemes izmanto\u0161anas pl\u0101no\u0161ana var\u0113tu palielin\u0101t glob\u0101lo p\u0101rtikas ra\u017eo\u0161anu par 20-67%.<\/p>\n<p><strong>4. Lauksaimniec\u012bbas subs\u012bdijas un apdro\u0161in\u0101\u0161ana:<\/strong> Daudzas valstis nodro\u0161ina lauksaimniec\u012bbas subs\u012bdijas un apdro\u0161in\u0101\u0161anas programmas, kuru pamat\u0101 ir lauku robe\u017eas. Prec\u012bza robe\u017eu noteik\u0161ana pal\u012bdz noteikt atbilst\u012bg\u0101s zemes plat\u012bbas, nodro\u0161in\u0101t subs\u012bdiju taisn\u012bgu sadali un prec\u012bzi apr\u0113\u0137in\u0101t apdro\u0161in\u0101\u0161anas pr\u0113mijas.<\/p>\n<p>Piem\u0113ram, Eiropas Savien\u012bbas kop\u0113j\u0101 lauksaimniec\u012bbas politika (KLP) balst\u0101s uz prec\u012bz\u0101m lauku robe\u017e\u0101m subs\u012bdiju apr\u0113\u0137in\u0101\u0161anai un atbilst\u012bbas uzraudz\u012bbai.<\/p>\n<p><strong>5. Zemes p\u0101rvalde un juridisk\u0101s robe\u017eas:<\/strong> Lauku robe\u017eu noteik\u0161ana lauksaimniec\u012bb\u0101 ir \u013coti svar\u012bga zemes administr\u0113\u0161anai, \u012bpa\u0161uma ties\u012bb\u0101m un zemes str\u012bdu risin\u0101\u0161anai. Prec\u012bzas lauku robe\u017eu kartes pal\u012bdz noteikt juridisko \u012bpa\u0161umties\u012bbas, atbalsta zemes re\u0123istr\u0101cijas sist\u0113mas un veicina p\u0101rredzamus zemes dar\u012bjumus.<\/p>\n<p>Pasaules Banka l\u0113\u0161, ka tikai 30% pasaules iedz\u012bvot\u0101jiem ir juridiski dokument\u0113tas ties\u012bbas uz savu zemi, kas uzsver uzticamu lauku robe\u017eu datu noz\u012bmi dro\u0161as zemes \u012bpa\u0161umties\u012bbu nodro\u0161in\u0101\u0161an\u0101.<\/p>\n<p><strong>6. Atbilst\u012bba un vides ilgtsp\u0113j\u012bba:<\/strong> Prec\u012bzas lauka robe\u017eas pal\u012bdz atbilst\u012bbas uzraudz\u012bb\u0101, nodro\u0161inot vides noteikumu un ilgtsp\u0113j\u012bgas lauksaimniec\u012bbas prakses iev\u0113ro\u0161anu.<\/p>\n<p>Tas pal\u012bdz noteikt buferzonas, aizsarg\u0101jam\u0101s teritorijas un teritorijas, kas ir pak\u013cautas erozijai vai \u016bdens pies\u0101r\u0146ojumam, \u013caujot lauksaimniekiem veikt atbilsto\u0161us pas\u0101kumus. Atbilst\u012bba vides standartiem veicina ilgtsp\u0113j\u012bbu un samazina negat\u012bvo ietekmi uz ekosist\u0113m\u0101m.<\/p>\n<p>Saska\u0146\u0101 ar FAO datiem, ilgtsp\u0113j\u012bgas lauksaimniec\u012bbas prakse var samazin\u0101t siltumn\u012bcefekta g\u0101zu emisijas l\u012bdz pat 6 miljardiem tonnu gad\u0101.<\/p>\n<p>\u0160ie punkti ilustr\u0113 t\u0101 lietder\u012bbu un noz\u012bmi lauksaimniec\u012bb\u0101 un zemes apsaimnieko\u0161an\u0101. Iesniegtie pier\u0101d\u012bjumi un glob\u0101lie skait\u013ci apstiprina t\u0101 pozit\u012bvo ietekmi uz resursu efekt\u012bvu izmanto\u0161anu, zemes izmanto\u0161anas pl\u0101no\u0161anu, tiesisko regul\u0113jumu, vides ilgtsp\u0113j\u012bbu un kop\u0113jo lauksaimniec\u012bbas produktivit\u0101ti.<\/p>\n<p>Rezum\u0113jot, lauku robe\u017eu noteik\u0161ana lauksaimniec\u012bb\u0101 ir lauksaimniec\u012bbas lauku vai zemes gabalu robe\u017eu noteik\u0161anas un kart\u0113\u0161anas process. Tas balst\u0101s uz da\u017e\u0101d\u0101m metod\u0113m, piem\u0113ram, satel\u012btatt\u0113lu anal\u012bzi, LiDAR datiem un \u0122IS, lai prec\u012bzi defin\u0113tu un norobe\u017eotu \u0161\u012bs robe\u017eas, nodro\u0161inot efekt\u012bvu zemes apsaimnieko\u0161anu un lauksaimniec\u012bbas praksi.<\/p>","protected":false},"excerpt":{"rendered":"<p>GeoPard ir veiksm\u012bgi pabeigu\u0161i automatiz\u0113ta lauka robe\u017eu noteik\u0161anas mode\u013ca izstr\u0101di, izmantojot vair\u0101ku gadu satel\u012btatt\u0113lus, prec\u012bzu m\u0101ko\u0146u un \u0113nu noteik\u0161anu, k\u0101 ar\u012b uzlabotus patent\u0113tus\u2026<\/p>","protected":false},"author":210249433,"featured_media":6764,"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,"_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":[1586,1661,1372,1377,1378,1368],"tags":[1618,1668],"class_list":["post-6762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-satellite-imagery","category-blog","category-crop-monitoring","category-remote-sensing","category-yield","tag-crop-monitoring","tag-field-boundaries"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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