{"id":6762,"date":"2023-05-17T23:45:08","date_gmt":"2023-05-17T21:45:08","guid":{"rendered":"https:\/\/geopard.tech\/?p=6762"},"modified":"2024-11-12T18:47:41","modified_gmt":"2024-11-12T17:47:41","slug":"automatinio-lauko-ribu-aptikimo-modelis-skirtas-tiksliajam-ukininkavimui","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/","title":{"rendered":"\u201eGeoPard\u201c automatizuotas lauko rib\u0173 aptikimo modelis tiksliajai \u017eemdirbystei"},"content":{"rendered":"

\u201eGeoPard\u201c s\u0117kmingai suk\u016br\u0117 automatizuot\u0105 lauko rib\u0173 aptikimo model\u012f, naudodama daugiame\u010dius palydovinius vaizdus, tiksl\u0173 debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikim\u0105 bei pa\u017eangius patentuotus algoritmus, \u012fskaitant giliuosius neuroninius tinklus.<\/p>\n

\u201eGeoPard\u201c lauko aptikimo modelis pasiek\u0117 pa\u017eangiausi\u0105 tikslum\u0105 0,975 pagal sankirtos vir\u0161 s\u0105jungos (IoU) metrik\u0105<\/strong>, patvirtinta \u012fvairiuose regionuose ir pas\u0117li\u0173 r\u016b\u0161yse visame pasaulyje.<\/p>\n

Per\u017ei\u016br\u0117kite \u0161iuos vaizdus, kad pamatytum\u0117te rezultatus Vokietijoje (vidutinis lauko dydis yra 7 hektarai):<\/p>\n

\"1<\/p>\n

1 \u2013 Neapdorotas \u201eSentinel-2\u201c vaizdas<\/p>\n

\"3<\/p>\n

2 \u2013 itin didel\u0117s rai\u0161kos \u201eSentinel-2\u201c vaizdas, sukurtas \u201eGeoPard\u201c (1 metro rai\u0161ka)<\/p>\n

\"2<\/p>\n

3 \u2013 Segmentuotos lauko ribos, 0.975 <\/strong>Sankirtos vir\u0161 s\u0105jungos (IoU) tikslumo metrika, <\/strong>\u012fvairiuose tarptautiniuose regionuose ir pas\u0117li\u0173 r\u016b\u0161yse.<\/p>\n

\n

Integracija \u012f m\u016bs\u0173 API ir \u201eGeoPard\u201c program\u0105 bus netrukus pasiekiama. \u0160is automatizuotas ir ekonomi\u0161kas metodas padeda prognozuoti derli\u0173, yra naudingas vyriausybin\u0117ms organizacijoms ir padeda dideliems \u017eem\u0117s savininkams, kuriems da\u017enai reikia atnaujinti lauk\u0173 ribas tarp sezon\u0173.<\/p>\n

\u201eGeoPard\u201c metodas naudoja Daugiame\u010di\u0173 pas\u0117li\u0173 vegetacijos tendencijos<\/a> naudojant daugiafaktorin\u0119 analiz\u0119 ir s\u0117jomain\u0105.<\/p>\n

<\/p>\n

 <\/p>\n

Modelis pasiekiamas per \u201eGeoPard\u201c API<\/a> mok\u0117jimo pagal poreik\u012f princip\u0105, suteikiant lankstumo be brangi\u0173 prenumerat\u0173.<\/p>\n

 <\/p>\n

Kas yra lauko rib\u0173 nustatymas?<\/h2>\n

Lauk\u0173 rib\u0173 nustatymas \u2013 tai \u017eem\u0117s \u016bkio lauk\u0173 arba \u017eem\u0117s sklyp\u0173 rib\u0173 nustatymo ir kartografavimo procesas. Tai apima \u012fvairi\u0173 metod\u0173 ir duomen\u0173 \u0161altini\u0173 naudojim\u0105 atskir\u0173 lauk\u0173 arba \u017eem\u0117s \u016bkio sklyp\u0173 riboms nustatyti.<\/p>\n

Tradici\u0161kai lauk\u0173 ribas rankiniu b\u016bdu nubr\u0117\u017edavo \u016bkininkai arba \u017eem\u0117s savininkai, remdamiesi savo \u017einiomis ir steb\u0117jimais.<\/p>\n

Ta\u010diau tobul\u0117jant technologijoms, ypa\u010d nuotolinio steb\u0117jimo ir geografini\u0173 informacini\u0173 sistem\u0173 (GIS) srityse, vis labiau paplito automatizuoti ir pusiau automatizuoti metodai.<\/p>\n

Vienas \u012fprastas metodas yra palydovini\u0173 arba aerofotonuotrauk\u0173 analiz\u0117. Didel\u0117s skiriamosios gebos vaizdai, u\u017efiksuoti palydov\u0173 arba orlaivi\u0173, gali suteikti i\u0161samios informacijos apie kra\u0161tovaizd\u012f, \u012fskaitant skirting\u0173 \u017eem\u0117s sklyp\u0173 ribas.<\/p>\n

\u0160iems vaizdams galima taikyti vaizdo apdorojimo algoritmus, kad b\u016bt\u0173 galima aptikti skirtingus po\u017eymius, tokius kaip augmenijos tipo, spalvos, tekst\u016bros ar ra\u0161t\u0173 poky\u010diai, rodantys lauko rib\u0173 buvim\u0105.<\/p>\n

Kita technika apima LiDAR (\u0161viesos aptikimo ir diapazono nustatymo) duomen\u0173 naudojim\u0105, kai lazerio spinduliai matuoja atstum\u0105 tarp jutiklio ir \u017dem\u0117s pavir\u0161iaus.<\/p>\n

LiDAR duomenys gali suteikti i\u0161sami\u0105 auk\u0161\u010dio ir topografin\u0119 informacij\u0105, leid\u017eian\u010di\u0105 nustatyti nedidelius reljefo skirtumus, kurie gali atitikti lauko ribas.<\/p>\n

Be to, geografin\u0117s informacin\u0117s sistemos (GIS) atlieka lemiam\u0105 vaidmen\u012f nustatant lauk\u0173 ribas.<\/p>\n

GIS programin\u0117 \u012franga leid\u017eia integruoti ir analizuoti \u012fvairius duomen\u0173 sluoksnius, \u012fskaitant palydovinius vaizdus, topografinius \u017eem\u0117lapius, \u017eem\u0117s nuosavyb\u0117s \u012fra\u0161us ir kit\u0105 svarbi\u0105 informacij\u0105. Sujungdama \u0161iuos duomen\u0173 \u0161altinius, GIS gali pad\u0117ti interpretuoti ir identifikuoti lauk\u0173 ribas.<\/p>\n

Tikslus lauko rib\u0173 nustatymas yra b\u016btinas d\u0117l keli\u0173 prie\u017eas\u010di\u0173. Tai palengvina geresn\u012f \u017eem\u0117s \u016bkio i\u0161tekli\u0173 valdym\u0105, leid\u017eia taikyti tiksliojo \u016bkininkavimo metodus ir padeda planuoti bei \u012fgyvendinti \u017eem\u0117s \u016bkio praktik\u0105, toki\u0105 kaip dr\u0117kinimas, tr\u0119\u0161imas ir kenk\u0117j\u0173 kontrol\u0117.<\/p>\n

Tiksl\u016bs lauko rib\u0173 duomenys taip pat padeda administruoti \u017eem\u0119, planuoti \u017eem\u0117s naudojim\u0105 ir laikytis \u017eem\u0117s \u016bkio reglament\u0173.<\/p>\n

Kaip tai naudinga?<\/h2>\n

Jis atlieka labai svarb\u0173 vaidmen\u012f \u017eem\u0117s \u016bkyje ir \u017eem\u0117s valdyme, teikdamas daug naudos ir svarbos, kuri\u0105 patvirtina \u012frodymai ir pasauliniai skai\u010diai. \u0160tai keletas pagrindini\u0173 punkt\u0173:<\/p>\n

1. Tikslusis \u017eem\u0117s \u016bkis:<\/strong> Tikslios lauko ribos padeda \u012fgyvendinti tiksliosios \u017eemdirbyst\u0117s metodus, kai tokie i\u0161tekliai kaip vanduo, tr\u0105\u0161os ir pesticidai yra tiksliai paskirstomi konkre\u010dioms lauko sritims.<\/p>\n

Pasaulio banko ataskaitoje teigiama, kad tiksliosios \u017eemdirbyst\u0117s technologijos gali padidinti pas\u0117li\u0173 derli\u0173 20% ir suma\u017einti s\u0105naudas 10\u201320%.<\/p>\n

2. Efektyvus i\u0161tekli\u0173 valdymas:<\/strong> Tai leid\u017eia \u016bkininkams geriau valdyti i\u0161teklius optimizuojant dr\u0117kinimo sistemas, koreguojant tr\u0119\u0161imo praktik\u0105 ir stebint pas\u0117li\u0173 sveikat\u0105. Toks tikslumas suma\u017eina i\u0161tekli\u0173 \u0161vaistym\u0105 ir poveik\u012f aplinkai.<\/p>\n

Maisto ir \u017eem\u0117s \u016bkio organizacija (FAO) apskai\u010diavo, kad tiksliojo \u016bkininkavimo praktika gali suma\u017einti vandens sunaudojim\u0105 20\u2013501 TP3 T, tr\u0105\u0161\u0173 sunaudojim\u0105 \u2013 10\u2013201 TP3 T ir pesticid\u0173 sunaudojim\u0105 20\u2013301 TP3 T.<\/p>\n

3. \u017dem\u0117s naudojimo planavimas:<\/strong> Tiksl\u016bs lauko rib\u0173 duomenys yra b\u016btini \u017eem\u0117s naudojimo planavimui, u\u017etikrinant efektyv\u0173 turimos \u017eem\u0117s \u016bkio paskirties \u017eem\u0117s naudojim\u0105. Tai leid\u017eia politikos formuotojams ir \u017eem\u0117s valdytojams priimti pagr\u012fstus sprendimus d\u0117l \u017eem\u0117s paskirstymo, s\u0117jomainos ir zonavimo.<\/p>\n

Tai gali padidinti \u017eem\u0117s \u016bkio produktyvum\u0105 ir pagerinti apr\u016bpinim\u0105 maistu. Tyrime, paskelbtame \u201eJournal of Soil and Water Conservation\u201c, nustatyta, kad veiksmingas \u017eem\u0117s naudojimo planavimas gal\u0117t\u0173 padidinti pasaulin\u0119 maisto gamyb\u0105 20-67%.<\/p>\n

4. \u016aki\u0173 subsidijos ir draudimas:<\/strong> Daugelyje \u0161ali\u0173 \u017eem\u0117s \u016bkio subsidijos ir draudimo programos teikiamos atsi\u017evelgiant \u012f lauk\u0173 ribas. Tikslus rib\u0173 nustatymas padeda nustatyti tinkamus \u017eem\u0117s plotus, u\u017etikrinti teising\u0105 subsidij\u0173 paskirstym\u0105 ir tiksliai apskai\u010diuoti draudimo \u012fmokas.<\/p>\n

Pavyzd\u017eiui, Europos S\u0105jungos bendroji \u017eem\u0117s \u016bkio politika (B\u017d\u016aP) remiasi tiksliomis lauk\u0173 ribomis, skirtomis subsidijoms apskai\u010diuoti ir atitikties reikalavimams steb\u0117ti.<\/p>\n

5. \u017dem\u0117s administravimas ir teisin\u0117s ribos:<\/strong> Lauk\u0173 rib\u0173 nustatymas \u017eem\u0117s \u016bkyje yra labai svarbus \u017eem\u0117s administravimui, nuosavyb\u0117s teis\u0117ms ir \u017eem\u0117s gin\u010d\u0173 sprendimui. Tiksl\u016bs lauk\u0173 rib\u0173 \u017eem\u0117lapiai padeda nustatyti teis\u0117t\u0105 nuosavyb\u0119, palaiko \u017eem\u0117s registravimo sistemas ir palengvina skaidrius \u017eem\u0117s sandorius.<\/p>\n

Pasaulio bankas apskai\u010diavo, kad tik 30% pasaulio gyventoj\u0173 turi teisi\u0161kai dokumentuotas teises \u012f savo \u017eem\u0119, tod\u0117l patikim\u0173 lauko rib\u0173 duomen\u0173 svarba saugiai \u017eem\u0117s valdai.<\/p>\n

6. Atitiktis reikalavimams ir aplinkos tvarumas:<\/strong> Tikslios lauko ribos padeda steb\u0117ti atitikt\u012f reikalavimams, u\u017etikrinant aplinkosaugos taisykli\u0173 ir tvaraus \u016bkininkavimo praktikos laikym\u0105si.<\/p>\n

Tai padeda nustatyti buferines zonas, saugomas teritorijas ir erozijos ar vandens u\u017eter\u0161tumo paveiktas teritorijas, suteikiant \u016bkininkams galimyb\u0119 imtis tinkam\u0173 priemoni\u0173. Aplinkosaugos standart\u0173 laikymasis didina tvarum\u0105 ir ma\u017eina neigiam\u0105 poveik\u012f ekosistemoms.<\/p>\n

Pasak FAO, tvarios \u017eemdirbyst\u0117s praktikos gali suma\u017einti iki 6 milijard\u0173 ton\u0173 \u0161iltnamio efekt\u0105 sukelian\u010di\u0173 duj\u0173 i\u0161metim\u0105 per metus.<\/p>\n

\u0160ie teiginiai iliustruoja jo naudingum\u0105 ir svarb\u0105 \u017eem\u0117s \u016bkyje ir \u017eem\u0117s valdyme. Pateikti \u012frodymai ir pasauliniai skai\u010diai patvirtina teigiam\u0105 poveik\u012f, kur\u012f jis gali tur\u0117ti i\u0161tekli\u0173 naudojimo efektyvumui, \u017eem\u0117s naudojimo planavimui, teisin\u0117ms sistemoms, aplinkos tvarumui ir bendram \u017eem\u0117s \u016bkio produktyvumui.<\/p>\n

Apibendrinant, lauk\u0173 rib\u0173 nustatymas \u017eem\u0117s \u016bkyje yra \u017eem\u0117s \u016bkio lauk\u0173 arba \u017eem\u0117s sklyp\u0173 rib\u0173 nustatymo ir kartografavimo procesas. Jis remiasi \u012fvairiais metodais, tokiais kaip palydovini\u0173 vaizd\u0173 analiz\u0117, LiDAR duomenys ir GIS, siekiant tiksliai apibr\u0117\u017eti ir pa\u017eym\u0117ti \u0161ias ribas, taip sudarant s\u0105lygas veiksmingam \u017eem\u0117s valdymui ir \u017eem\u0117s \u016bkio praktikai.<\/p>","protected":false},"excerpt":{"rendered":"

\u201eGeoPard\u201c s\u0117kmingai suk\u016br\u0117 automatizuot\u0105 lauko rib\u0173 aptikimo model\u012f, naudodama daugiame\u010dius palydovinius vaizdus, tiksl\u0173 debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikim\u0105 bei pa\u017eangius patentuotus\u2026<\/p>","protected":false},"author":210157960,"featured_media":6764,"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":[1586,1661,1372,1377,1378,1368],"tags":[1668,1618],"class_list":["post-6762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-satellite-imagery","category-blog","category-crop-monitoring","category-remote-sensing","category-yield","tag-field-boundaries","tag-crop-monitoring"],"acf":[],"yoast_head":"\nAutomated Field Boundaries Detection Model for Precision Agriculture by GeoPard - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models\" \/>\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\/lt\/tinklarastis\/field-boundaries-delineation-model-to-predict-yields\/\" \/>\n<meta property=\"og:locale\" content=\"lt_LT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard - GeoPard Agriculture\" \/>\n<meta property=\"og:description\" content=\"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models\" \/>\n<meta property=\"og:url\" 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