{"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":"detekcija-oblaka-i-sjena-u-poljoprivredi","status":"publish","type":"post","link":"https:\/\/geopard.tech\/hr\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Detekcija oblaka i sjene u poljoprivredi"},"content":{"rendered":"

Detekcija oblaka i sjena jedan je od najva\u017enijih zadataka u analiti\u010dkim rje\u0161enjima daljinskog istra\u017eivanja.<\/p>\r\n\r\n\r\n\r\n

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Ako je cijela satelitska snimka \u010dista, jo\u0161 uvijek postoji vjerojatnost da \u0107e va\u0161e polje biti pod oblacima\/sjenama. Vrijedi i obrnuto \u2013 mnogi sustavi ne obra\u0111uju slike s oblacima iznad 70% \u2013 iako preostalih 30% mo\u017ee pomo\u0107i agronomu ili poljoprivredniku da donese pravu odluku tijekom sezone.<\/p>\r\n\r\n\r\n\r\n

U GeoPardu rje\u0161avamo ovaj problem uz pomo\u0107 nekoliko algoritama strojnog u\u010denja koji rade s vrlo visokom to\u010dno\u0161\u0107u.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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\"Odre\u0111ivanje<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n

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Definiramo masku oblaka i masku sjene na razini cijele slike, a za svaki par polja i slike uzimamo u obzir koji je postotak polja prekriven oblacima ili sjenama od oblaka.<\/p>\r\n\r\n\r\n\r\n

U automatskoj analitici uzimamo samo potpuno bezobla\u010dne slike za odre\u0111eno polje, \u0161to korisniku omogu\u0107uje da bude siguran u dono\u0161enju odluka na temelju vi\u0161egodi\u0161nje analitike.<\/p>\r\n\r\n\r\n\r\n

Korisnik GeoParda ima mogu\u0107nost pregledati, pa \u010dak i sam pokrenuti analitiku, \u010dak i na djelomi\u010dno obla\u010dnim slikama.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

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To i dalje mo\u017ee biti vrlo korisno, na primjer, tijekom sezone za primjenu varijabilnog prskanja sredstvima za za\u0161titu usjeva na temelju najnovije satelitske snimke, na kojoj se 10% povr\u0161ine polja nalazi pod oblacima. To zna\u010di da \u0107e se za 90% povr\u0161ine polja odluka temeljiti na provjerenim podacima.<\/p>\r\n\r\n\r\n\r\n

Tako\u0111er, korisnici GeoParda mogu jednostavno provjeriti izvorne slike na regionalnoj razini u bliskom infracrvenom prikazu, \u0161to poma\u017ee u razlikovanju \u010distog tla od oblaka i sjena (vidi sliku u prilogu).<\/p>\r\n\r\n\r\n\r\n

Na korisni\u010dkom su\u010delju filter oblaka nalazi se u gornjem izborniku modula "Nadzor satelita", pogledajte prilo\u017eene snimke zaslona.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

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Imajte na umu da tvrtke u digitalnoj poljoprivredi i dalje mogu imati pote\u0161ko\u0107a s ispravnim otkrivanjem oblaka i sjena. Na prilo\u017eenoj snimci zaslona jedna takva tvrtka stvara VR kartu gnojiva na temelju podataka o oblacima i sjenama. Dakle, pogre\u0161na karta dovodi do pogre\u0161nih agronomskih odluka i na kraju pogre\u0161nih ishoda.<\/p>\r\n\r\n\r\n\r\n

GeoPard detektira oblake i sjene s visokom razinom to\u010dnosti i ne predla\u017ee dono\u0161enje odluke o varijabilnoj brzini na temelju oblaka. Izvorne slike uvijek mo\u017eete pogledati u razli\u010ditim prikazima i indeksima te ih zumirati kako biste vidjeli sliku oko sebe.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

 <\/p>\r\n\r\n

Nije svako rje\u0161enje isto, odaberite najbolje opcije dostupne na tr\u017ei\u0161tu!<\/p>\r\n\r\n

 <\/p>\r\n\r\n

\"razli\u010diti<\/figure>\r\n

\u0160to je detekcija oblaka u preciznoj poljoprivredi?<\/h2>\r\n

Detekcija oblaka u preciznoj poljoprivredi odnosi se na proces identificiranja i pra\u0107enja obla\u010dnosti u poljoprivrednim podru\u010djima kori\u0161tenjem tehnologija daljinskog istra\u017eivanja. Oblaci mogu zna\u010dajno utjecati na poljoprivredne prakse i produktivnost usjeva, \u0161to njihovo otkrivanje i analizu \u010dini klju\u010dnima za u\u010dinkovito upravljanje poljoprivredom.<\/p>\r\n

Uklju\u010duje kori\u0161tenje raznih senzora, poput satelita, dronova ili zemaljskih instrumenata, za snimanje slika poljoprivrednih polja. Ovi senzori bilje\u017ee podatke u obliku vidljive i infracrvene svjetlosti, koja se mo\u017ee analizirati kako bi se utvrdila prisutnost i karakteristike oblaka.<\/p>\r\n

Njegova primarna svrha u preciznoj poljoprivredi je procjena prostorne i vremenske raspodjele oblaka iznad poljoprivrednih podru\u010dja.<\/p>\r\n

Ove informacije poma\u017eu poljoprivrednicima i agronomima da donose informirane odluke u vezi s navodnjavanjem, gnojidbom, suzbijanjem \u0161teto\u010dina i drugim poljoprivrednim praksama. Razumijevanjem obrazaca naoblake, poljoprivrednici mogu optimizirati raspodjelu resursa i smanjiti rizik od o\u0161te\u0107enja usjeva ili smanjenja prinosa.<\/p>\r\n

Algoritmi za detekciju oblaka analiziraju snimljene slike kako bi razlikovali piksele oblaka od piksela koji nisu oblak.<\/p>\r\n

Ovi algoritmi koriste razli\u010dite tehnike, poput odre\u0111ivanja pragova, spektralne analize i strojnog u\u010denja, kako bi to\u010dno identificirali i klasificirali formacije oblaka.<\/p>\r\n

Izlazni podaci algoritama obi\u010dno uklju\u010duju postotak pokrivenosti oblakom, klasifikaciju tipa oblaka i obrasce kretanja oblaka.<\/p>\r\n

Nakon \u0161to se otkriju oblaci i odrede njihove karakteristike, poljoprivrednici mogu koristiti te informacije za primjenu tehnika precizne poljoprivrede.<\/p>\r\n

Na primjer, ako se oblak otkrije nad odre\u0111enim podru\u010djem polja, poljoprivrednici mogu odgoditi navodnjavanje ili primjenu pesticida u toj regiji dok oblak ne pro\u0111e. Sinkroniziranjem poljoprivrednih aktivnosti s kretanjem oblaka, poljoprivrednici mogu optimizirati kori\u0161tenje resursa i smanjiti nepotrebne unose.<\/p>\r\n

Posebno je korisno u regijama s visokom naoblakom ili gdje se vremenski obrasci brzo mijenjaju. Kontinuiranim pra\u0107enjem naoblake, poljoprivrednici mogu prilagoditi svoje poljoprivredne prakse u stvarnom vremenu, prilago\u0111avaju\u0107i se na temelju trenutnih vremenskih uvjeta.<\/p>\r\n

Ukratko, detekcija oblaka u preciznoj poljoprivredi igra klju\u010dnu ulogu u optimizaciji poljoprivrednih praksi i upravljanju resursima. To\u010dnim identificiranjem i pra\u0107enjem oblaka, poljoprivrednici mogu donositi informirane odluke kako bi pove\u0107ali produktivnost usjeva, smanjili rasipanje usjeva i ubla\u017eili rizike povezane s promjenjivim vremenskim uvjetima.<\/p>","protected":false},"excerpt":{"rendered":"

Detekcija oblaka i sjena jedan je od najva\u017enijih zadataka u analiti\u010dkim rje\u0161enjima daljinskog istra\u017eivanja. Ako je cijela satelitska snimka \u010dista 90%, postoji\u2026<\/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_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":"{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":"\nCloud 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\/hr\/blog\/detekcija-oblaka-i-sjena-u-poljoprivredi\/\" \/>\n<meta property=\"og:locale\" content=\"hr_HR\" \/>\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\/hr\/blog\/detekcija-oblaka-i-sjena-u-poljoprivredi\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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