{"id":206,"date":"2020-01-29T15:50:00","date_gmt":"2020-01-29T14:50:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=206"},"modified":"2023-05-18T22:11:51","modified_gmt":"2023-05-18T20:11:51","slug":"detectarea-norilor-si-a-umbrelor-in-agricultura","status":"publish","type":"post","link":"https:\/\/geopard.tech\/ro\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Detectarea norilor \u0219i a umbrelor \u00een agricultur\u0103"},"content":{"rendered":"
Detectarea norilor \u0219i a umbrelor este una dintre cele mai importante sarcini \u00een solu\u021biile analitice de teledetec\u021bie.<\/p>\r\n\r\n\r\n\r\n
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Dac\u0103 \u00eentreaga imagine prin satelit este curat\u0103 90%, exist\u0103 \u00eenc\u0103 o \u0219ans\u0103 de 10% ca c\u00e2mpul dumneavoastr\u0103 s\u0103 se afle sub nori\/zona de umbr\u0103. Inversul este de asemenea valabil - multe sisteme nu proceseaz\u0103 imagini cu nori mai mari de 70% - de\u0219i restul de 30% poate ajuta agronomul sau fermierul s\u0103 ia decizia corect\u0103 \u00een timpul sezonului.<\/p>\r\n\r\n\r\n\r\n
La GeoPard, rezolv\u0103m aceast\u0103 problem\u0103 cu ajutorul mai multor algoritmi de \u00eenv\u0103\u021bare automat\u0103 care func\u021bioneaz\u0103 cu o precizie foarte ridicat\u0103.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Definim o masc\u0103 de nori \u0219i o masc\u0103 de umbr\u0103 la nivelul \u00eentregii imagini, iar pentru fiecare pereche c\u00e2mp-imagine, lu\u0103m \u00een considerare procentul din c\u00e2mp acoperit de nori sau de umbra norilor.<\/p>\r\n\r\n\r\n\r\n
\u00cen analizele automate, lu\u0103m numai imagini complet lipsite de nori pentru un anumit c\u00e2mp, ceea ce permite utilizatorului s\u0103 fie \u00eencrez\u0103tor \u00een luarea deciziilor bazate pe analize multianuale.<\/p>\r\n\r\n\r\n\r\n
Utilizatorul GeoPard are posibilitatea de a vizualiza \u0219i chiar de a rula singur analizele, chiar \u0219i pe imagini par\u021bial \u00eennorate.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Acest lucru poate fi \u00eenc\u0103 foarte util, de exemplu, \u00een timpul sezonului de aplicare a pulveriz\u0103rii cu rat\u0103 variabil\u0103 cu produse de protec\u021bie a culturilor pe baza celei mai recente imagini din satelit, \u00een care 10% din suprafa\u021ba c\u00e2mpului se afl\u0103 sub nori. Aceasta \u00eenseamn\u0103 c\u0103 pentru 90% din suprafa\u021ba c\u00e2mpului, decizia se va baza pe date verificate.<\/p>\r\n\r\n\r\n\r\n
De asemenea, utilizatorii GeoPard pot verifica cu u\u0219urin\u021b\u0103 imaginile surs\u0103 la nivel regional \u00een vederea infraro\u0219u apropiat, ceea ce ajut\u0103 la distingerea terenurilor clare de nori \u0219i umbre (a se vedea imaginea ata\u0219at\u0103).<\/p>\r\n\r\n\r\n\r\n
Pe UI, filtrul de cloud este situat \u00een meniul de sus al modulului \u201cMonitorizare satelit\u201d, a se vedea capturile de ecran ata\u0219ate.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Re\u021bine\u021bi c\u0103 societ\u0103\u021bile din domeniul agriculturii digitale se pot confrunta \u00eenc\u0103 cu probleme legate de detectarea corect\u0103 a norilor \u0219i a umbrelor. \u00cen captura de ecran ata\u0219at\u0103, o astfel de companie creeaz\u0103 o hart\u0103 VR a \u00eengr\u0103\u0219\u0103mintelor pe baza datelor privind norii \u0219i umbrele. Astfel, harta gre\u0219it\u0103 duce la decizii agronomice gre\u0219ite \u0219i la rezultate gre\u0219ite \u00een final.<\/p>\r\n\r\n\r\n\r\n
GeoPard detecteaz\u0103 norii \u0219i umbrele cu un nivel ridicat de precizie \u0219i nu v\u0103 propune s\u0103 lua\u021bi decizia privind rata variabil\u0103 pe baza norilor. Pute\u021bi \u00eentotdeauna s\u0103 v\u0103 uita\u021bi la imaginile surs\u0103 \u00een diferite vederi \u0219i indici \u0219i s\u0103 face\u021bi zoom out pentru a vedea imaginea din jur.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
\r\n<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n
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Nu toate solu\u021biile sunt la fel, alege\u021bi cele mai bune op\u021biuni disponibile pe pia\u021b\u0103!<\/p>\r\n\r\n
<\/p>\r\n\r\n<\/figure>\r\n
Ce este detectarea \u00een cloud \u00een agricultura de precizie?<\/h2>\r\n
Detectarea norilor \u00een agricultura de precizie se refer\u0103 la procesul de identificare \u0219i monitorizare a acoperirii noroase \u00een zonele agricole cu ajutorul tehnologiilor de teledetec\u021bie. Norii pot avea un impact semnificativ asupra practicilor agricole \u0219i a productivit\u0103\u021bii culturilor, ceea ce face ca detectarea \u0219i analiza lor s\u0103 fie cruciale pentru gestionarea eficient\u0103 a exploata\u021biilor agricole.<\/p>\r\n
Aceasta implic\u0103 utilizarea diferi\u021bilor senzori, cum ar fi sateli\u021bii, dronele sau instrumentele terestre, pentru a capta imagini ale c\u00e2mpurilor agricole. Ace\u0219ti senzori capteaz\u0103 date sub form\u0103 de lumin\u0103 vizibil\u0103 \u0219i infraro\u0219ie, care pot fi analizate pentru a determina prezen\u021ba \u0219i caracteristicile norilor.<\/p>\r\n
Scopul s\u0103u principal \u00een agricultura de precizie este de a evalua distribu\u021bia spa\u021bial\u0103 \u0219i temporal\u0103 a norilor deasupra zonelor agricole.<\/p>\r\n
Aceste informa\u021bii ajut\u0103 fermierii \u0219i agronomii s\u0103 ia decizii \u00een cuno\u0219tin\u021b\u0103 de cauz\u0103 privind irigarea, fertilizarea, combaterea d\u0103un\u0103torilor \u0219i alte practici agricole. Prin \u00een\u021belegerea tiparelor de acoperire cu nori, agricultorii pot optimiza alocarea resurselor \u0219i pot reduce la minimum riscul de deteriorare a culturilor sau de reducere a randamentului.<\/p>\r\n
Algoritmii de detectare a norilor analizeaz\u0103 imaginile capturate pentru a face diferen\u021ba \u00eentre pixelii de nor \u0219i pixelii f\u0103r\u0103 nor.<\/p>\r\n
Ace\u0219ti algoritmi utilizeaz\u0103 diverse tehnici, cum ar fi pragarea, analiza spectral\u0103 \u0219i \u00eenv\u0103\u021barea automat\u0103, pentru a identifica \u0219i clasifica cu exactitate forma\u021biunile de nori.<\/p>\r\n
Rezultatele algoritmilor includ, de obicei, procentul de acoperire cu nori, clasificarea tipurilor de nori \u0219i modelele de mi\u0219care a norilor.<\/p>\r\n
Odat\u0103 ce norii sunt detecta\u021bi \u0219i caracteristicile lor sunt determinate, fermierii pot utiliza aceste informa\u021bii pentru a implementa tehnici de agricultur\u0103 de precizie.<\/p>\r\n
De exemplu, dac\u0103 un nor este detectat deasupra unei anumite zone a unui c\u00e2mp, agricultorii pot am\u00e2na irigarea sau aplicarea de pesticide \u00een acea regiune p\u00e2n\u0103 c\u00e2nd norul trece. Prin sincronizarea activit\u0103\u021bilor agricole cu mi\u0219c\u0103rile norilor, fermierii pot optimiza utilizarea resurselor \u0219i pot minimiza intr\u0103rile inutile.<\/p>\r\n
Aceasta este deosebit de benefic\u0103 \u00een regiunile cu acoperire noroas\u0103 ridicat\u0103 sau \u00een care tiparele meteorologice se schimb\u0103 rapid. Prin monitorizarea continu\u0103 a acoperirii norilor, fermierii \u00ee\u0219i pot adapta practicile agricole \u00een timp real, f\u0103c\u00e2nd ajust\u0103ri \u00een func\u021bie de condi\u021biile meteorologice actuale.<\/p>\r\n
\u00cen rezumat, detectarea norilor \u00een agricultura de precizie joac\u0103 un rol crucial \u00een optimizarea practicilor agricole \u0219i a gestion\u0103rii resurselor. Prin identificarea \u0219i monitorizarea precis\u0103 a acoperirii noroase, agricultorii pot lua decizii \u00een cuno\u0219tin\u021b\u0103 de cauz\u0103 pentru a spori productivitatea culturilor, a reduce risipa de inputuri \u0219i a atenua riscurile asociate cu schimbarea condi\u021biilor meteorologice.<\/p>","protected":false},"excerpt":{"rendered":"
Detectarea norilor \u0219i a umbrelor este una dintre cele mai importante sarcini \u00een solu\u021biile analitice de teledetec\u021bie. Dac\u0103 \u00eentreaga imagine din satelit este curat\u0103, 90%...<\/p>","protected":false},"author":210157960,"featured_media":1383,"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":[1378],"tags":[1599],"class_list":["post-206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-remote-sensing"],"acf":[],"yoast_head":"\n
Cloud and Shadow Detection in Agriculture<\/title>\n<meta name=\"description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\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\/ro\/blog\/detectarea-norilor-si-a-umbrelor-in-agricultura\/\" \/>\n<meta property=\"og:locale\" content=\"ro_RO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cloud and Shadow Detection in Agriculture\" \/>\n<meta property=\"og:description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/ro\/blog\/detectarea-norilor-si-a-umbrelor-in-agricultura\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - Precision 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