{"id":286,"date":"2021-01-18T17:57:00","date_gmt":"2021-01-18T16:57:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=286"},"modified":"2024-12-01T21:40:34","modified_gmt":"2024-12-01T20:40:34","slug":"utilizarea-datelor-raster-decupate-pentru-agroindustrie","status":"publish","type":"post","link":"https:\/\/geopard.tech\/ro\/blog\/use-of-cropped-raster-data-for-agribusiness\/","title":{"rendered":"Utilizarea datelor raster decupate pentru agroindustrie"},"content":{"rendered":"

Datele raster decupate bazate pe limitele c\u00e2mpului par foarte simple. Unele surse de date sunt rastere cu pixeli \u0219i o rezolu\u021bie de 3m\/10m\/30m, altele \u2013 sunt vectori cu poligoane sau multipoligoane.<\/p>\r\n\r\n\r\n\t\t

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\"Date<\/figure><\/div>
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<\/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\r\n\r\n\r\n

Limita precis\u0103 a datelor raster decupate este dificil\u0103. Rezultatul implicit pe care \u00eel au majoritatea programelor GIS \u0219i de agricultur\u0103 de precizie este un raster pixelat. Evaluarea precis\u0103 a datelor \u00een apropierea limitei c\u00e2mpului v\u0103 ajut\u0103 s\u0103 \u00een\u021belege\u021bi mai bine, de exemplu, condi\u021biile coronamentului, valoarea pantei.\u00a0<\/p>\r\n\r\n\r\n\r\n

Exemple de rastre pixelate:<\/p>\r\n\r\n\r\n\r\n

\"Raster\r\n
Raster pixelat \u00een infraro\u0219u apropiat<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
\"Raster\r\n
Raster pixelat de eleva\u021bie<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

Este posibil s\u0103 \u00eel \u00eembun\u0103t\u0103\u021bim \u0219i s\u0103 \u00eel facem mai precis?<\/p>\r\n\r\n\r\n\r\n

Da, GeoPard face asta \u0219i chiar pune la dispozi\u021bie datele pentru integrare ulterioar\u0103 prin intermediul API-ului. C\u00e2teva exemple:<\/p>\r\n\r\n\r\n\r\n

    \r\n
  • Decuparea imaginilor satelitare brute (Ro\u0219u-Verde-Albastru \u0219i Infraro\u0219u apropiat) bazate pe limita c\u00e2mpului:<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    \"Raster\r\n
    Raster decupat RGB GeoPard Agriculture<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
    \"Raster\r\n
    Raster decupat \u00een infraro\u0219u apropiat GeoPard Agriculture<\/em><\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

     <\/p>\r\n

      \r\n
    • Decuparea imaginilor din satelit cu indice de vegeta\u021bie precum WDRVI, bazat pe limita c\u00e2mpului:<\/li>\r\n<\/ul>\r\n

       <\/p>\r\n\r\n\r\n\r\n

      \"Raster\r\n
      GRaster decupat WDRVI din eopard Agriculture<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

       <\/p>\r\n

        \r\n
      • Decuparea setului de date topografice digitale (altitudine \u0219i rugozitate) pe baza limitei c\u00e2mpului:<\/li>\r\n<\/ul>\r\n

         <\/p>\r\n\r\n\r\n\r\n

        \"Raster\r\n
        Raster decupat al eleva\u021biei GeoPard Agriculture<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Raster\r\n
        Raster decupat pentru rugozitatea GeoPard Agriculture<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Cum arat\u0103 \u00een interfa\u021ba GeoPard \u0219i cum poate fi integrat \u00een solu\u021bia dvs. tehnologic\u0103 agricol\u0103:<\/p>\r\n\r\n\r\n\r\n

        \"Raster\r\n
        Raster decupat NIR GeoPard Agriculture<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Pozi\u021bie\r\n
        Pozi\u021bie de ajutor \u00een agricultur\u0103 GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"GeoPard\r\n
        GeoPard Agriculture WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Noi, cei de la GeoPard, \u00een\u021belegem valoarea acestor detalii \u0219i lucr\u0103m constant pentru a \u00eembun\u0103t\u0103\u021bi solu\u021bia.<\/p>\r\n

        Ce sunt datele raster?<\/h2>\r\n

        Datele raster sunt un tip de date de imagine digital\u0103 reprezentate de o gril\u0103 de pixeli sau celule, unde fiecare celul\u0103 corespunde unei loca\u021bii specifice de pe suprafa\u021ba P\u0103m\u00e2ntului. Fiec\u0103rui pixel dintr-o imagine raster i se atribuie o valoare care reprezint\u0103 un anumit atribut sau o caracteristic\u0103 a acelei loca\u021bii, cum ar fi altitudinea, temperatura sau acoperirea terenului.<\/p>\r\n

        Este utilizat \u00een mod obi\u0219nuit \u00een sistemele informa\u021bionale geografice (GIS) \u0219i \u00een aplica\u021biile de teledetec\u021bie pentru a reprezenta \u0219i analiza diverse tipuri de date spa\u021biale. Poate fi colectat dintr-o varietate de surse, inclusiv imagini satelitare \u0219i aeriene, camere digitale \u0219i senzori tere\u0219tri.<\/p>\r\n

        Acestea sunt adesea stocate \u00een diverse formate, cum ar fi GeoTIFF, JPEG \u0219i PNG, care sunt concepute pentru a comprima \u0219i stoca datele eficient. Software-ul GIS \u0219i instrumentele de procesare a imaginilor pot fi utilizate pentru a manipula \u0219i analiza datele, cum ar fi prin efectuarea de calcule asupra valorilor pixelilor sau prin aplicarea de filtre pentru a \u00eembun\u0103t\u0103\u021bi anumite caracteristici.<\/p>\r\n

        Exemple de aplica\u021bii includ cartografierea utiliz\u0103rii terenurilor \u0219i a acoperirii terenurilor, analizarea schimb\u0103rilor vegeta\u021biei \u00een timp \u0219i prezicerea randamentelor culturilor pe baza factorilor de mediu.<\/p>\r\n

        Cum sunt utilizate datele raster \u00een agricultura de precizie?<\/h2>\r\n

        Este o component\u0103 esen\u021bial\u0103 a agriculturii de precizie, deoarece ofer\u0103 informa\u021bii detaliate despre s\u0103n\u0103tatea culturilor, propriet\u0103\u021bile solului \u0219i factorii de mediu, care pot fi utilizate pentru a lua decizii mai informate cu privire la gestionarea culturilor. Iat\u0103 c\u00e2teva exemple despre modul \u00een care datele raster sunt utilizate \u00een agricultura de precizie:<\/p>\r\n

          \r\n
        • Analiza s\u0103n\u0103t\u0103\u021bii culturilor:<\/strong> Datele de teledetec\u021bie sub form\u0103 de imagini satelitare sau imagini cu drone pot fi utilizate pentru a genera straturi de date care prezint\u0103 indici de vegeta\u021bie, cum ar fi NDVI (Normalized Difference Vegetation Index - Indicele de Vegeta\u021bie cu Diferen\u021b\u0103 Normalizat\u0103) sau NDRE (Normalized Difference Red Edge - Margine Ro\u0219ie Normalizat\u0103). Ace\u0219ti indici ajut\u0103 la identificarea zonelor de pe c\u00e2mp cu vegeta\u021bie s\u0103n\u0103toas\u0103, precum \u0219i a zonelor \u00een care culturile pot fi supuse stresului din cauza bolilor, d\u0103un\u0103torilor sau deficien\u021belor de nutrien\u021bi.<\/li>\r\n
        • Analiza solului:<\/strong> Datele despre sol, cum ar fi con\u021binutul de umiditate al solului sau textura solului, pot fi colectate folosind senzori care genereaz\u0103 straturi de date. Aceste straturi pot ajuta la identificarea zonelor din c\u00e2mp cu caracteristici variate ale solului, ceea ce poate informa deciziile privind fertilizarea, iriga\u021biile \u0219i alte practici de gestionare a solului.<\/li>\r\n
        • Analiza mediului:<\/strong> Straturile de date care prezint\u0103 factori de mediu precum temperatura, precipita\u021biile \u0219i viteza v\u00e2ntului pot fi utilizate pentru a modela cre\u0219terea culturilor \u0219i a prezice randamentul. Aceste straturi pot ajuta, de asemenea, la identificarea zonelor de pe c\u00e2mp predispuse la eroziune, inunda\u021bii sau alte probleme de mediu.<\/li>\r\n
        • Aplicare rat\u0103 variabil\u0103:<\/strong> Poate fi utilizat pentru a genera h\u0103r\u021bi de prescrip\u021bie pentru aplicarea \u00een rate variabile a unor inputuri, cum ar fi \u00eengr\u0103\u0219\u0103minte sau pesticide. Prin aplicarea inputurilor \u00een rate variabile \u00een func\u021bie de nevoile diferitelor zone ale c\u00e2mpului, fermierii pot reduce risipa \u0219i optimiza cre\u0219terea culturilor.<\/li>\r\n<\/ul>\r\n

          Per total, datele raster sunt un instrument crucial \u00een agricultura de precizie, deoarece ofer\u0103 informa\u021bii detaliate despre condi\u021biile culturilor \u0219i ale solului, care pot fi utilizate pentru a lua decizii mai informate cu privire la gestionarea culturilor.<\/p>","protected":false},"excerpt":{"rendered":"

          Datele raster decupate bazate pe limitele c\u00e2mpului par foarte simple. Unele surse de date sunt rastere cu pixeli \u0219i o rezolu\u021bie de 3m\/10m\/30m, altele \u2013 sunt\u2026<\/p>","protected":false},"author":210157960,"featured_media":1352,"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":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":[1377,1366],"tags":[1618],"class_list":["post-286","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crop-monitoring","category-topography","tag-crop-monitoring"],"acf":[],"yoast_head":"\nUse of Cropped Raster Data for Agribusiness - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"Cropped raster data based on field boundary sounds very simple. 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