{"id":1195,"date":"2020-04-30T10:55:00","date_gmt":"2020-04-30T08:55:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=1195"},"modified":"2024-12-01T23:12:12","modified_gmt":"2024-12-01T22:12:12","slug":"mitmekihiline-analuus","status":"publish","type":"post","link":"https:\/\/geopard.tech\/est\/blog\/multi-layer-analytics\/","title":{"rendered":"Mitmekihiline (integreeritud) andmeanal\u00fc\u00fcs t\u00e4ppisp\u00f5llumajanduses"},"content":{"rendered":"

T\u00e4ppisp\u00f5llumajandus on v\u00f5imeline tootma\u00a0tohutul hulgal andmeid<\/span>\u00a0muu hulgas saagikuse andmete, satelliidipiltide ja mullaviljakuse kujul.<\/p>\r\n

Lihtsalt kasutatavate pilvep\u00f5histe t\u00e4ppistarkvara t\u00f6\u00f6riistakomplektide puudumine, mis aitaksid p\u00f5llukultuuride tootjatel p\u00f5lluandmete kihte kasulikeks teadmisteks ja tegutsemisk\u00f5lblikeks soovitusteks teisendada, piirab t\u00e4ppisp\u00f5llumajanduse tehnoloogiate rakendamist.<\/p>\r\n

T\u00e4ppisp\u00f5llumajanduses on haldustsoonid p\u00f5llul asuvad alad, millel on sarnane saagipotentsiaal, mis p\u00f5hineb mullat\u00fc\u00fcbil, n\u00f5lva asendil, mulla keemilisel koostisel, mikrokliimal ja\/v\u00f5i muudel teguritel, mis m\u00f5jutavad p\u00f5llukultuuride tootmist.<\/p>\r\n

See\u00a0tootja teadmised valdkonnast<\/span>\u00a0on protsessi v\u00e4ga oluline osa. Haldusv\u00f6\u00f6ndeid peetakse mehhanismiks p\u00f5llukultuuride sisendite ja saagipotentsiaali optimeerimiseks.<\/p>\r\n\t\t

\n\t\t\t
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\"18-aastase<\/figure><\/div>
\"Kombineeritud<\/figure><\/div>
\"Kombineeritud<\/figure><\/div>
\"Kombineeritud<\/figure><\/div>
\"Parandatud<\/figure><\/div>
\"tsoonide<\/figure><\/div>
\"kombineeritud<\/figure><\/div>
\"kaardid,<\/figure><\/div>
\"Kombineeritud<\/figure><\/div>
\"18<\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\t
\n\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t
<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\r\n

\r\n\r\n<\/p>\r\n

\u00dche ja mitme andmekihi abil genereeritud kaardid.<\/em><\/p>\r\n

Suurim v\u00e4ljakutse on luua haldustsoonid, mis peegeldavad ideaalselt p\u00f5ldude varieeruvust. J\u00e4rgmine loogiline samm on erinevate kihtide, n\u00e4iteks satelliidipiltide, mullaviljakuse, topograafiliste tuletiste ja saagikuse j\u00e4lgimise andmete kombinatsioon. reageerimisv\u00f5imelisemad haldustsoonid<\/span>.<\/p>\r\n\r\n\r\n\r\n

Mitmekihiline anal\u00fc\u00fcs (tuntud ka kui integreeritud anal\u00fc\u00fcs<\/span>) on saamas osaks GeoPardi georuumilise anal\u00fc\u00fcsi mootorist.<\/p>\r\n\r\n\r\n\r\n

Integreeritud anal\u00fc\u00fcsiparameetrite klassikalised kombinatsioonid h\u00f5lmavad \u00fchte v\u00f5i mitut saagikuse andmestikku, NDVI kaarti, k\u00f5rgust ja mullasensori f\u00fc\u00fcsikalis-keemilisi omadusi.\u00a0<\/p>\r\n

GeoPard toetab neid parameetreid ja lisaks v\u00f5imaldab lisada ka teisi p\u00f5lluandmete kihte, mis on kas juba s\u00fcsteemis olemas v\u00f5i kasutaja poolt otse \u00fcles laaditud (mullaproovid, saagikuse andmekogumid jne).<\/p>\r\n

Selle tulemusena saate vabalt tegutseda\u00a0t\u00e4ielik parameetrite komplekt<\/span>\u00a0integreeritud anal\u00fc\u00fcsi tegemine:<\/p>\r\n\r\n\r\n\r\n

Mitmekihiline saagikuse andmete anal\u00fc\u00fcs<\/strong><\/p>\r\n

Kaugseireandmed:<\/p>\r\n

    \r\n
  • Potentsiaalse tootlikkuse kaart (\u00fche- ja mitmeaastane)<\/li>\r\n
  • Stabiilsuse\/variatsiooni kaart<\/li>\r\n
  • Taimkatteindeksid NDVI, EVI2, WDRVI, LAI, SAVI, OSAVI, GCI, GNDVI<\/li>\r\n<\/ul>\r\n

    Topograafia:<\/p>\r\n

      \r\n
    • Digitaalne k\u00f5rgus<\/li>\r\n
    • Kalle<\/li>\r\n
    • Kumerus<\/li>\r\n
    • Niiskuse indeks<\/li>\r\n
    • M\u00e4evarjud<\/li>\r\n<\/ul>\r\n

      Pinnase andmed:<\/p>\r\n

        \r\n
      • pH<\/li>\r\n
      • CEC (katioonivahetusv\u00f5ime)<\/li>\r\n
      • Mulla orgaaniline aine (SOM)<\/li>\r\n
      • K (kaalium)<\/li>\r\n
      • \u00d5huke mullakiht, madalam veemahutavus (p\u00f5uaohtlik muld)<\/li>\r\n
      • EC (elektrijuhtivus)<\/li>\r\n
      • ja muud \u00fcleslaaditud andmestikus saadaolevad keemilised atribuudid<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n

        Oluline on r\u00f5hutada, et soovitud v\u00e4\u00e4rtuse m\u00e4\u00e4ramiseks konfigureeritakse iga andmekihi peal kohandatud tegurid.\u00a0kihi kaal<\/span>.Olete v\u00e4ga teretulnud jagama oma integreeritud anal\u00fc\u00fctika kasutusjuhtumeid ja looma haldustsoonide kaarte oma valdkonnaalaste teadmiste p\u00f5hjal, valides samal ajal GeoPardis andmeallikaid ja nende kaalusid.<\/p>\r\n\r\n\r\n\r\n

        Selle blogi pildid sisaldavad n\u00e4idisv\u00e4lja andmekihtidega (n\u00e4iteks 18 aastat h\u00f5lmav tootlikkuse kaart, digitaalne k\u00f5rgusmudel, kalle, m\u00e4en\u00f5lva vari, 2019. aasta saagikuse andmed) ja integratsioonianal\u00fc\u00fctika kaartide erinevad kombinatsioonid.\u00a0<\/p>\r\n

        Saate j\u00e4lgida haldustsoonide evolutsiooni samme, laiendades samal ajal integratsioonianal\u00fc\u00fctikat t\u00e4iendava andmekihiga.<\/p>\r\n

        \r\n

        Korduma kippuvad k\u00fcsimused<\/h2>\r\n
        \r\n

        1. Mis on andmekihid?<\/strong><\/p>\r\n

        Andmekihid viitavad andmete \u00fcksikutele komponentidele v\u00f5i elementidele, mis on korraldatud ja kokku pandud, et luua konkreetsest valdkonnast v\u00f5i teemast terviklik esitus.<\/p>\r\n

        Iga kiht esindab andmete konkreetset aspekti, n\u00e4iteks geograafilisi tunnuseid, maakasutust, rahvastikutihedust v\u00f5i keskkonnategureid. Neid kihte saab kombineerida ja anal\u00fc\u00fcsida \u00fchiselt, et saada teadmisi, visualiseerida mustreid ja teha teadlikke otsuseid.<\/p>\r\n

        Andmekihte kasutatakse tavaliselt geograafilistes infos\u00fcsteemides (GIS) ja ruumianal\u00fc\u00fcsis, et keerukaid andmeid paremini m\u00f5ista ja visuaalselt ning t\u00f5lgendatavalt esitada.<\/p>\r\n

        2. Mis on integreeritud anal\u00fc\u00fcs?<\/strong><\/p>\r\n

        Integreeritud anal\u00fc\u00fcs viitab mitmest allikast v\u00f5i distsipliinist p\u00e4rit andmete kombineerimise ja anal\u00fc\u00fcsimise protsessile, et saada konkreetsest probleemist v\u00f5i n\u00e4htusest terviklikum ja terviklikum arusaam.<\/p>\r\n

        See h\u00f5lmab andmekogumite \u00fchendamist, statistiliste meetodite rakendamist ja erinevate muutujate v\u00f5i valdkondade vaheliste seoste uurimist.<\/p>\r\n

        Integreeritud anal\u00fc\u00fcs v\u00f5imaldab saada keerukatest s\u00fcsteemidest n\u00fcansirikkama ja omavahel seotud \u00fclevaate, h\u00f5lbustades mustrite, trendide ja p\u00f5hjuslike seoste tuvastamist, mis ei pruugi olla ilmsed andmete eraldi anal\u00fc\u00fcsimisel.<\/p>\r\n

        See l\u00e4henemisviis v\u00f5imaldab teadlastel ja otsustajatel teha teadlikumaid ja t\u00f5husamaid otsuseid laiema teabe p\u00f5hjal.<\/p>","protected":false},"excerpt":{"rendered":"

        T\u00e4ppisp\u00f5llumajandus on v\u00f5imeline genereerima tohutul hulgal andmeid muu hulgas saagikuse, satelliidipiltide ja mullaviljakuse andmete kujul. Lihtsalt kasutatavate pilveteenuste puudumine\u2026<\/p>","protected":false},"author":210157960,"featured_media":1331,"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":[1657,1366,1368],"tags":[1598],"class_list":["post-1195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-topography","category-yield","tag-precision-agriculture"],"acf":[],"yoast_head":"\nIntegrated analysis for agribusiness<\/title>\n<meta name=\"description\" content=\"Multi layer yield data analytics (also known as integrated analysis) is becoming a part of the GeoPard geospatial analytics engine.\" \/>\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\/est\/blogi\/mitmekihiline-analuus\/\" \/>\n<meta property=\"og:locale\" content=\"et_EE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Integrated analysis for agribusiness\" \/>\n<meta property=\"og:description\" content=\"Multi layer yield data analytics (also known as integrated analysis) is becoming a part of the GeoPard geospatial analytics engine.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/est\/blogi\/mitmekihiline-analuus\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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