{"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":"zaznavanje-oblakov-in-senc-v-kmetijstvu","status":"publish","type":"post","link":"https:\/\/geopard.tech\/sl\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Zaznavanje oblakov in senc v kmetijstvu"},"content":{"rendered":"

Zaznavanje oblakov in senc je ena najpomembnej\u0161ih nalog v analiti\u010dnih re\u0161itvah daljinskega zaznavanja.<\/p>\r\n\r\n\r\n\r\n

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\u010ce je celotna satelitska slika \u010dista, \u0161e vedno obstaja mo\u017enost, da bo va\u0161e polje pod oblaki\/sencami. Velja tudi obratno \u2013 mnogi sistemi ne obdelujejo slik z oblaki nad 70% \u2013 \u010deprav lahko preostali 30% pomagajo agronomu ali kmetu, da se med sezono pravilno odlo\u010di.<\/p>\r\n\r\n\r\n\r\n

Pri GeoPardu to te\u017eavo re\u0161ujemo s pomo\u010djo ve\u010d algoritmov strojnega u\u010denja, ki delujejo z zelo visoko natan\u010dnostjo.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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\"Dolo\u010ditev<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n

 <\/p>\r\n\r\n

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Na ravni celotne slike definiramo masko oblaka in masko sence, za vsak par polja in slike pa upo\u0161tevamo, kolik\u0161en odstotek polja je prekrit z oblaki oziroma sencami oblakov.<\/p>\r\n\r\n\r\n\r\n

Pri avtomatski analitiki za dolo\u010deno podro\u010dje posnamemo le popolnoma brezobla\u010dne slike, kar uporabniku omogo\u010da, da je na podlagi ve\u010dletne analitike samozavesten pri sprejemanju odlo\u010ditev.<\/p>\r\n\r\n\r\n\r\n

Uporabnik GeoParda ima mo\u017enost ogleda in celo sam izvajati analitiko, tudi na delno obla\u010dnih slikah.<\/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

 <\/p>\r\n\r\n

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To je lahko \u0161e vedno zelo koristno, na primer med sezono za \u0161kropljenje s spremenljivo koli\u010dino sredstev za varstvo rastlin na podlagi najnovej\u0161e satelitske slike, na kateri je 10% povr\u0161ine polja pod oblaki. To pomeni, da bo za 90% povr\u0161ine polja odlo\u010ditev temeljila na preverjenih podatkih.<\/p>\r\n\r\n\r\n\r\n

Uporabniki GeoParda lahko preprosto preverijo izvorne slike na regionalni ravni v bli\u017enjem infrarde\u010dem pogledu, kar pomaga lo\u010diti jasno zemljo od oblakov in senc (glej prilo\u017eeno sliko).<\/p>\r\n\r\n\r\n\r\n

V uporabni\u0161kem vmesniku se filter oblaka nahaja v zgornjem meniju modula \u201cSatelitsko spremljanje\u201d, glejte prilo\u017eene posnetke 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

 <\/p>\r\n\r\n

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Upo\u0161tevajte, da se lahko podjetja za digitalno kmetijstvo \u0161e vedno soo\u010dajo s te\u017eavami pri pravilnem zaznavanju oblakov in senc. Na prilo\u017eenem posnetku zaslona eno od tak\u0161nih podjetij ustvari zemljevid gnojil za virtualno resni\u010dnost na podlagi podatkov o oblakih in sencah. Napa\u010den zemljevid torej vodi do napa\u010dnih agronomskih odlo\u010ditev in na koncu do napa\u010dnih rezultatov.<\/p>\r\n\r\n\r\n\r\n

GeoPard zazna oblake in sence z visoko stopnjo natan\u010dnosti in ne predlaga, da se odlo\u010dite za spremenljivo hitrost na podlagi oblakov. Izvorne slike si lahko vedno ogledate v razli\u010dnih pogledih in indeksih ter jih pomanj\u0161ate, da si ogledate sliko naokoli.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

 <\/p>\r\n\r\n

Ni vsaka re\u0161itev enaka, izberite najbolj\u0161e mo\u017enosti, ki so na voljo na trgu!<\/p>\r\n\r\n

 <\/p>\r\n\r\n

\"razli\u010dni<\/figure>\r\n

Kaj je zaznavanje oblakov v preciznem kmetijstvu?<\/h2>\r\n

Zaznavanje oblakov v preciznem kmetijstvu se nana\u0161a na postopek prepoznavanja in spremljanja obla\u010dnosti na kmetijskih obmo\u010djih z uporabo tehnologij daljinskega zaznavanja. Oblaki lahko pomembno vplivajo na kmetijske prakse in produktivnost polj\u0161\u010din, zato je njihovo zaznavanje in analiza klju\u010dnega pomena za u\u010dinkovito upravljanje kmetij.<\/p>\r\n

Vklju\u010duje uporabo razli\u010dnih senzorjev, kot so sateliti, droni ali zemeljski instrumenti, za zajemanje slik kmetijskih polj. Ti senzorji zajemajo podatke v obliki vidne in infrarde\u010de svetlobe, ki jo je mogo\u010de analizirati za dolo\u010ditev prisotnosti in zna\u010dilnosti oblakov.<\/p>\r\n

Njegov glavni namen v preciznem kmetijstvu je ocena prostorske in \u010dasovne porazdelitve oblakov nad kmetijskimi obmo\u010dji.<\/p>\r\n

Te informacije pomagajo kmetom in agronomom pri sprejemanju premi\u0161ljenih odlo\u010ditev glede namakanja, gnojenja, zatiranja \u0161kodljivcev in drugih kmetijskih praks. Z razumevanjem vzorcev obla\u010dnosti lahko kmetje optimizirajo dodelitev virov in zmanj\u0161ajo tveganje za \u0161kodo na pridelkih ali zmanj\u0161anje pridelka.<\/p>\r\n

Algoritmi za zaznavanje oblakov analizirajo zajete slike, da lo\u010dijo med obla\u010dnimi in neobla\u010dnimi slikovnimi pikami.<\/p>\r\n

Ti algoritmi uporabljajo razli\u010dne tehnike, kot so pragiranje, spektralna analiza in strojno u\u010denje, za natan\u010dno prepoznavanje in razvr\u0161\u010danje obla\u010dnih formacij.<\/p>\r\n

Izhod algoritmov obi\u010dajno vklju\u010duje odstotek pokritosti z oblaki, klasifikacijo tipov oblakov in vzorce gibanja oblakov.<\/p>\r\n

Ko so oblaki zaznani in njihove zna\u010dilnosti dolo\u010dene, lahko kmetje te informacije uporabijo za izvajanje tehnik preciznega kmetijstva.<\/p>\r\n

Na primer, \u010de se nad dolo\u010denim obmo\u010djem polja zazna oblak, lahko kmetje odlo\u017eijo namakanje ali uporabo pesticidov na tem obmo\u010dju, dokler oblak ne mine. Z usklajevanjem kmetijskih dejavnosti z gibanjem oblakov lahko kmetje optimizirajo izrabo virov in zmanj\u0161ajo nepotrebne vnose.<\/p>\r\n

To je \u0161e posebej koristno v regijah z visoko obla\u010dnostjo ali kjer se vremenski vzorci hitro spreminjajo. Z nenehnim spremljanjem obla\u010dnosti lahko kmetje v realnem \u010dasu prilagajajo svoje kmetijske prakse in jih prilagajajo trenutnim vremenskim razmeram.<\/p>\r\n

Skratka, zaznavanje oblakov v preciznem kmetijstvu igra klju\u010dno vlogo pri optimizaciji kmetijskih praks in upravljanja virov. Z natan\u010dno identifikacijo in spremljanjem obla\u010dnosti lahko kmetje sprejemajo premi\u0161ljene odlo\u010ditve za pove\u010danje produktivnosti pridelkov, zmanj\u0161anje potrate surovin in ubla\u017eitev tveganj, povezanih s spreminjajo\u010dimi se vremenskimi razmerami.<\/p>","protected":false},"excerpt":{"rendered":"

Zaznavanje oblakov in senc je ena najpomembnej\u0161ih nalog v analiti\u010dnih re\u0161itvah daljinskega zaznavanja. \u010ce je celotna satelitska slika 90% \u010dista, potem ...<\/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":"\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\/sl\/blog\/zaznavanje-oblakov-in-senc-v-kmetijstvu\/\" \/>\n<meta property=\"og:locale\" content=\"sl_SI\" \/>\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\/sl\/blog\/zaznavanje-oblakov-in-senc-v-kmetijstvu\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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