{"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":"debesu-ir-seseliu-aptikimas-zemes-ukyje","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikimas \u017eem\u0117s \u016bkyje"},"content":{"rendered":"
Debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikimas yra viena i\u0161 svarbiausi\u0173 u\u017eduo\u010di\u0173 analitiniuose nuotolinio steb\u0117jimo sprendimuose.<\/p>\r\n\r\n\r\n\r\n
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Jei visas palydovinis vaizdas yra \u0161varus (90%), vis tiek yra 10% tikimyb\u0117, kad j\u016bs\u0173 laukas bus po debes\u0173 \/ \u0161e\u0161\u0117li\u0173 zona. Ir atvirk\u0161\u010diai \u2013 daugelis sistem\u0173 neapdoroja vaizd\u0173 su debesimis, vir\u0161ijan\u010diais 70%, nors lik\u0119s 30% gali pad\u0117ti agronomui ar \u016bkininkui priimti teising\u0105 sprendim\u0105 sezono metu.<\/p>\r\n\r\n\r\n\r\n
\u201eGeoPard\u201c \u0161i\u0105 problem\u0105 sprend\u017eiame pasitelkdami kelis ma\u0161ininio mokymosi algoritmus, kurie veikia labai tiksliai.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Apibr\u0117\u017eiame debes\u0173 kauk\u0119 ir \u0161e\u0161\u0117li\u0173 kauk\u0119 viso vaizdo lygmenyje ir kiekvienai lauko-vaizdo porai atsi\u017evelgiame, koki\u0105 lauko dal\u012f dengia debesys arba debes\u0173 \u0161e\u0161\u0117liai.<\/p>\r\n\r\n\r\n\r\n
Automatin\u0117je analiz\u0117je imame tik visi\u0161kai be debes\u0173 esan\u010dius konkretaus lauko vaizdus, o tai leid\u017eia vartotojui u\u017etikrintai priimti sprendimus, pagr\u012fstus daugiamete analize.<\/p>\r\n\r\n\r\n\r\n
\u201eGeoPard\u201c naudotojas turi galimyb\u0119 pats per\u017ei\u016br\u0117ti ir netgi paleisti analiz\u0119, net ir dalinai debesuotuose vaizduose.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Tai vis dar gali b\u016bti labai naudinga, pavyzd\u017eiui, sezono metu purk\u0161ti kintamo kiekio augal\u0173 apsaugos produktais pagal naujausi\u0105 palydovin\u012f vaizd\u0105, kuriame 10% lauko ploto yra po debesimis. Tai rei\u0161kia, kad d\u0117l 90% lauko ploto sprendimas bus priimamas remiantis patikrintais duomenimis.<\/p>\r\n\r\n\r\n\r\n
Be to, \u201eGeoPard\u201c naudotojai gali lengvai patikrinti \u0161altinio vaizdus regioniniu lygmeniu artimojo infraraudonojo spektro vaizde, kuris padeda atskirti skaidri\u0105 \u017eem\u0119 nuo debes\u0173 ir \u0161e\u0161\u0117li\u0173 (\u017er. prid\u0117t\u0105 paveiksl\u0117l\u012f).<\/p>\r\n\r\n\r\n\r\n
Tur\u0117kite omenyje, kad skaitmenin\u0117s \u017eem\u0117s \u016bkio \u012fmon\u0117s vis dar gali susidurti su sunkumais teisingai aptikdamos debesis ir \u0161e\u0161\u0117lius. Pridedamame ekrano kopijoje viena tokia \u012fmon\u0117 sukuria VR tr\u0105\u0161\u0173 \u017eem\u0117lap\u012f, pagr\u012fst\u0105 debes\u0173 ir \u0161e\u0161\u0117li\u0173 duomenimis. Taigi, neteisingas \u017eem\u0117lapis galiausiai lemia neteisingus agronominius sprendimus ir neteisingus rezultatus.<\/p>\r\n\r\n\r\n\r\n
\u201eGeoPard\u201c labai tiksliai aptinka debesis ir \u0161e\u0161\u0117lius ir nesi\u016blo priimti kintamo grei\u010dio sprendimo remdamasis debesimis. Visada galite per\u017ei\u016br\u0117ti \u0161altinio vaizdus skirtingais rodiniais ir indeksais ir atitolinti vaizd\u0105, kad pamatytum\u0117te aplinkin\u012f vaizd\u0105.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Ne kiekvienas sprendimas yra vienodas, rinkit\u0117s geriausius rinkoje esan\u010dius variantus!<\/p>\r\n\r\n
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Kas yra debes\u0173 aptikimas tiksliojoje \u017eemdirbyst\u0117je?<\/h2>\r\n
Debes\u0173 aptikimas tiksliojoje \u017eemdirbyst\u0117je \u2013 tai debes\u0173 dangos \u017eem\u0117s \u016bkio paskirties vietov\u0117se nustatymo ir steb\u0117jimo procesas, naudojant nuotolinio steb\u0117jimo technologijas. Debesys gali smarkiai paveikti \u017eem\u0117s \u016bkio praktik\u0105 ir pas\u0117li\u0173 produktyvum\u0105, tod\u0117l j\u0173 aptikimas ir analiz\u0117 yra labai svarb\u016bs veiksmingam \u016bkio valdymui.<\/p>\r\n
Tai apima \u012fvairi\u0173 jutikli\u0173, toki\u0173 kaip palydovai, dronai ar ant\u017eeminiai prietaisai, naudojim\u0105 \u017eem\u0117s \u016bkio lauk\u0173 vaizdams u\u017efiksuoti. \u0160ie jutikliai fiksuoja duomenis matomos ir infraraudonosios \u0161viesos pavidalu, kuriuos galima analizuoti siekiant nustatyti debes\u0173 buvim\u0105 ir savybes.<\/p>\r\n
Pagrindinis jo tikslas tiksliojoje \u017eemdirbyst\u0117je yra \u012fvertinti debes\u0173 erdvin\u012f ir laiko pasiskirstym\u0105 \u017eem\u0117s \u016bkio paskirties plotuose.<\/p>\r\n
\u0160i informacija padeda \u016bkininkams ir agronomams priimti pagr\u012fstus sprendimus d\u0117l dr\u0117kinimo, tr\u0119\u0161imo, kenk\u0117j\u0173 kontrol\u0117s ir kit\u0173 \u016bkininkavimo praktik\u0173. Suprasdami debesuotumo modelius, \u016bkininkai gali optimizuoti i\u0161tekli\u0173 paskirstym\u0105 ir suma\u017einti pas\u0117li\u0173 pa\u017eeidimo ar derliaus suma\u017e\u0117jimo rizik\u0105.<\/p>\r\n
Debes\u0173 aptikimo algoritmai analizuoja u\u017efiksuotus vaizdus, kad atskirt\u0173 debes\u0173 pikselius nuo ne debes\u0173 pikseli\u0173.<\/p>\r\n
\u0160ie algoritmai naudoja \u012fvairius metodus, tokius kaip slenks\u010di\u0173 nustatymas, spektrin\u0117 analiz\u0117 ir ma\u0161ininis mokymasis, kad tiksliai identifikuot\u0173 ir klasifikuot\u0173 debes\u0173 darinius.<\/p>\r\n
Algoritm\u0173 i\u0161vestis paprastai apima debes\u0173 padengimo procent\u0105, debes\u0173 tipo klasifikacij\u0105 ir debes\u0173 jud\u0117jimo modelius.<\/p>\r\n
Aptikus debesis ir nusta\u010dius j\u0173 charakteristikas, \u016bkininkai gali panaudoti \u0161i\u0105 informacij\u0105 tiksliosios \u017eemdirbyst\u0117s metodams \u012fgyvendinti.<\/p>\r\n
Pavyzd\u017eiui, jei vir\u0161 konkretaus lauko ploto aptinkamas debesis, \u016bkininkai gali atid\u0117ti laistym\u0105 ar pesticid\u0173 naudojim\u0105 toje srityje, kol debesis praeis. Sinchronizuodami \u017eem\u0117s \u016bkio veikl\u0105 su debes\u0173 jud\u0117jimu, \u016bkininkai gali optimizuoti i\u0161tekli\u0173 naudojim\u0105 ir suma\u017einti nereikalingas s\u0105naudas.<\/p>\r\n
Tai ypa\u010d naudinga regionuose, kuriuose yra daug debes\u0173 arba kur or\u0173 s\u0105lygos greitai kei\u010diasi. Nuolat steb\u0117dami debesuotum\u0105, \u016bkininkai gali realiuoju laiku pritaikyti savo \u016bkininkavimo praktik\u0105, atlikdami pakeitimus pagal esamas oro s\u0105lygas.<\/p>\r\n
Apibendrinant, debes\u0173 aptikimas tiksliojoje \u017eemdirbyst\u0117je atlieka labai svarb\u0173 vaidmen\u012f optimizuojant \u016bkininkavimo praktik\u0105 ir i\u0161tekli\u0173 valdym\u0105. Tiksliai nustatydami ir steb\u0117dami debes\u0173 dang\u0105, \u016bkininkai gali priimti pagr\u012fstus sprendimus, kaip padidinti pas\u0117li\u0173 produktyvum\u0105, suma\u017einti s\u0105naud\u0173 \u0161vaistym\u0105 ir su\u0161velninti su besikei\u010dian\u010diomis oro s\u0105lygomis susijusi\u0105 rizik\u0105.<\/p>","protected":false},"excerpt":{"rendered":"
Debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikimas yra viena i\u0161 svarbiausi\u0173 u\u017eduo\u010di\u0173 analitiniuose nuotolinio steb\u0117jimo sprendimuose. Jei visas palydovo vaizdas yra \u0161varus (90%), yra\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_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
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