{"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":"moln-och-skuggdetektering-inom-jordbruket","status":"publish","type":"post","link":"https:\/\/geopard.tech\/swe\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Moln- och skuggdetektering inom jordbruket"},"content":{"rendered":"

Moln- och skuggdetektering \u00e4r en av de viktigaste uppgifterna inom analytiska fj\u00e4rranalysl\u00f6sningar.<\/p>\r\n\r\n\r\n\r\n

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Om hela satellitbilden \u00e4r 90% ren finns det fortfarande en 10% chans att ditt f\u00e4lt kommer att ligga under ett moln-\/skuggomr\u00e5de. Det omv\u00e4nda g\u00e4ller ocks\u00e5 \u2013 m\u00e5nga system bearbetar inte bilder med moln \u00f6ver 70% \u2013 \u00e4ven om de \u00e5terst\u00e5ende 30% kan hj\u00e4lpa agronomen eller lantbrukaren att fatta r\u00e4tt beslut under s\u00e4songen.<\/p>\r\n\r\n\r\n\r\n

P\u00e5 GeoPard l\u00f6ser vi detta problem med hj\u00e4lp av flera maskininl\u00e4rningsalgoritmer som arbetar med mycket h\u00f6g noggrannhet.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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\"Best\u00e4mning<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n

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Vi definierar en molnmask och en skuggmask p\u00e5 niv\u00e5n av hela bilden, och f\u00f6r varje f\u00e4lt-bild-par beaktar vi hur stor procentandel av f\u00e4ltet som \u00e4r t\u00e4ckt av moln eller skuggor fr\u00e5n molnen.<\/p>\r\n\r\n\r\n\r\n

Vid automatisk analys tar vi endast helt molnfria bilder f\u00f6r ett specifikt f\u00e4lt, vilket g\u00f6r att anv\u00e4ndaren kan k\u00e4nna sig trygg i att fatta beslut baserat p\u00e5 fler\u00e5rig analys.<\/p>\r\n\r\n\r\n\r\n

GeoPard-anv\u00e4ndaren har m\u00f6jlighet att sj\u00e4lv se och k\u00f6ra analyserna, \u00e4ven p\u00e5 bilder med delvis molnighet.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

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Detta kan fortfarande vara mycket anv\u00e4ndbart, till exempel under s\u00e4songen f\u00f6r att applicera variabel hastighetsbesprutning med v\u00e4xtskyddsmedel baserat p\u00e5 den senaste satellitbilden, d\u00e4r 10% av f\u00e4ltets areal ligger under molnen. Det betyder att f\u00f6r 90% av f\u00e4ltets areal kommer beslutet att baseras p\u00e5 verifierade data.<\/p>\r\n\r\n\r\n\r\n

Dessutom kan anv\u00e4ndare av GeoPard enkelt kontrollera k\u00e4llbilder p\u00e5 regional niv\u00e5 i n\u00e4ra-infrar\u00f6tt l\u00e4ge, vilket hj\u00e4lper till att skilja klart land fr\u00e5n moln och skuggor (se bifogad bild).<\/p>\r\n\r\n\r\n\r\n

I anv\u00e4ndargr\u00e4nssnittet finns molnfiltret i den \u00f6versta menyn i modulen "Satellit\u00f6vervakning", se bifogade sk\u00e4rmdumpar.<\/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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T\u00e4nk p\u00e5 att digitala jordbruksf\u00f6retag fortfarande kan ha sv\u00e5rt att korrekt uppt\u00e4cka moln och skuggor. I den bifogade sk\u00e4rmdumpen skapar ett s\u00e5dant f\u00f6retag en VR-g\u00f6dselkarta baserad p\u00e5 moln- och skuggdata. S\u00e5 fel karta leder till fel agronomiska beslut och fel resultat i slut\u00e4ndan.<\/p>\r\n\r\n\r\n\r\n

GeoPard detekterar moln och skuggor med h\u00f6g noggrannhet och f\u00f6resl\u00e5r inte att du fattar ditt beslut om variabel hastighet baserat p\u00e5 moln. Du kan alltid titta p\u00e5 k\u00e4llbilderna i olika vyer och index och zooma ut f\u00f6r att se bilden runt omkring.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n

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

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Alla l\u00f6sningar \u00e4r inte likadana, v\u00e4lj de b\u00e4sta alternativen som finns p\u00e5 marknaden!<\/p>\r\n\r\n

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\"olika<\/figure>\r\n

Vad \u00e4r molndetektering inom precisionsjordbruk?<\/h2>\r\n

Molndetektering inom precisionsjordbruk avser processen att identifiera och \u00f6vervaka molnt\u00e4cke i jordbruksomr\u00e5den med hj\u00e4lp av fj\u00e4rranalysteknik. Moln kan avsev\u00e4rt p\u00e5verka jordbruksmetoder och gr\u00f6dors produktivitet, vilket g\u00f6r deras detektering och analys avg\u00f6rande f\u00f6r effektiv jordbruksf\u00f6rvaltning.<\/p>\r\n

Det inneb\u00e4r anv\u00e4ndning av olika sensorer, s\u00e5som satelliter, dr\u00f6nare eller markbaserade instrument, f\u00f6r att ta bilder av jordbruksf\u00e4lt. Dessa sensorer samlar in data i form av synligt och infrar\u00f6tt ljus, vilket kan analyseras f\u00f6r att best\u00e4mma molnens n\u00e4rvaro och egenskaper.<\/p>\r\n

Dess prim\u00e4ra syfte inom precisionsjordbruk \u00e4r att bed\u00f6ma den rumsliga och tidsm\u00e4ssiga f\u00f6rdelningen av moln \u00f6ver jordbruksomr\u00e5den.<\/p>\r\n

Denna information hj\u00e4lper jordbrukare och agronomer att fatta v\u00e4lgrundade beslut om bevattning, g\u00f6dsling, skadedjursbek\u00e4mpning och andra jordbruksmetoder. Genom att f\u00f6rst\u00e5 molnt\u00e4ckets m\u00f6nster kan jordbrukare optimera resursallokeringen och minimera risken f\u00f6r gr\u00f6dskador eller minskad avkastning.<\/p>\r\n

Molndetekteringsalgoritmer analyserar de tagna bilderna f\u00f6r att skilja mellan molnpixlar och pixlar som inte \u00e4r molnpixlar.<\/p>\r\n

Dessa algoritmer anv\u00e4nder olika tekniker, s\u00e5som tr\u00f6skelv\u00e4rden, spektralanalys och maskininl\u00e4rning, f\u00f6r att identifiera och klassificera molnformationer korrekt.<\/p>\r\n

Algoritmernas utdata inkluderar vanligtvis molnt\u00e4ckningsprocent, molntypsklassificering och molnr\u00f6relsem\u00f6nster.<\/p>\r\n

N\u00e4r moln har uppt\u00e4ckts och deras egenskaper har best\u00e4mts kan jordbrukare anv\u00e4nda denna information f\u00f6r att implementera precisionsjordbrukstekniker.<\/p>\r\n

Om till exempel ett moln uppt\u00e4cks \u00f6ver ett specifikt omr\u00e5de p\u00e5 ett f\u00e4lt kan jordbrukare f\u00f6rdr\u00f6ja bevattning eller bek\u00e4mpningsmedelsanv\u00e4ndning i den regionen tills molnet har passerat. Genom att synkronisera jordbruksaktiviteter med molnr\u00f6relser kan jordbrukare optimera resursutnyttjandet och minimera on\u00f6diga insatser.<\/p>\r\n

Det \u00e4r s\u00e4rskilt f\u00f6rdelaktigt i regioner med h\u00f6g molnighet eller d\u00e4r v\u00e4derm\u00f6nster f\u00f6r\u00e4ndras snabbt. Genom att kontinuerligt \u00f6vervaka molnigheten kan jordbrukare anpassa sina jordbruksmetoder i realtid och g\u00f6ra justeringar baserat p\u00e5 aktuella v\u00e4derf\u00f6rh\u00e5llanden.<\/p>\r\n

Sammanfattningsvis spelar molndetektering inom precisionsjordbruk en avg\u00f6rande roll f\u00f6r att optimera jordbruksmetoder och resurshantering. Genom att korrekt identifiera och \u00f6vervaka molnt\u00e4cke kan jordbrukare fatta v\u00e4lgrundade beslut f\u00f6r att f\u00f6rb\u00e4ttra gr\u00f6dornas produktivitet, minska sl\u00f6seri med insatsvaror och mildra riskerna i samband med f\u00f6r\u00e4ndrade v\u00e4derf\u00f6rh\u00e5llanden.<\/p>","protected":false},"excerpt":{"rendered":"

Moln- och skuggdetektering \u00e4r en av de viktigaste uppgifterna inom analytiska fj\u00e4rranalysl\u00f6sningar. Om hela satellitbilden \u00e4r ren, finns det\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":"\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\/swe\/blogg\/moln-och-skuggdetektering-inom-jordbruket\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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\/swe\/blogg\/moln-och-skuggdetektering-inom-jordbruket\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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