{"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":"viseslojna-analitika","status":"publish","type":"post","link":"https:\/\/geopard.tech\/hr\/blog\/multi-layer-analytics\/","title":{"rendered":"Vi\u0161eslojna (integrirana) analiza podataka u preciznoj poljoprivredi"},"content":{"rendered":"

Precizna poljoprivreda je sposobna generirati\u00a0ogromne koli\u010dine podataka<\/span>\u00a0u obliku podataka o prinosu, satelitskih snimaka i plodnosti tla, izme\u0111u ostalog.<\/p>\r\n

Nedostatak jednostavnih alata za preciznu obradu u oblaku koji poma\u017eu proizvo\u0111a\u010dima usjeva u pretvaranju slojeva podataka s polja u korisno znanje i prakti\u010dne preporuke ograni\u010dava primjenu tehnologija precizne poljoprivrede.<\/p>\r\n

U preciznoj poljoprivredi, zone upravljanja su podru\u010dja unutar polja koja imaju sli\u010dan potencijal prinosa na temelju vrste tla, polo\u017eaja nagiba, kemije tla, mikroklime i\/ili drugih \u010dimbenika koji utje\u010du na proizvodnju usjeva.<\/p>\r\n

The\u00a0znanje proizvo\u0111a\u010da o odre\u0111enom podru\u010dju<\/span>\u00a0je vrlo va\u017ean dio procesa. Zone upravljanja smatraju se mehanizmom za optimizaciju unosa usjeva i potencijala prinosa.<\/p>\r\n\t\t

\n\t\t\t
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\"Karta<\/figure><\/div>
\"Kombinirana<\/figure><\/div>
\"Kombinirana<\/figure><\/div>
\"Kombinirana<\/figure><\/div>
\"Ispravljena<\/figure><\/div>
\"zone<\/figure><\/div>
\"kombinirana<\/figure><\/div>
\"karte<\/figure><\/div>
\"Kombinirana<\/figure><\/div>
\"kombinirano<\/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
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<\/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

Karte generirane s jednim podatkovnim slojem i nekoliko podatkovnih slojeva.<\/em><\/p>\r\n

Veliki izazov je izgraditi zone upravljanja koje savr\u0161eno odra\u017eavaju varijabilnost polja. Kombinacija razli\u010ditih slojeva poput satelitskih snimaka, plodnosti tla, topografskih derivata i podataka monitora prinosa sljede\u0107i je logi\u010dan korak u generiranju responzivnije zone upravljanja<\/span>.<\/p>\r\n\r\n\r\n\r\n

Vi\u0161eslojna analitika (tako\u0111er poznata kao integrirana analiza<\/span>) postaje dio GeoPardovog geoprostornog analiti\u010dkog sustava.<\/p>\r\n\r\n\r\n\r\n

Klasi\u010dne kombinacije integriranih parametara analize uklju\u010duju jedan ili vi\u0161e podataka o prinosu, NDVI kartu, nadmorsku visinu i fizikalno-kemijske karakteristike senzora tla.\u00a0<\/p>\r\n

GeoPard podr\u017eava ove parametre i osim toga omogu\u0107uje uklju\u010divanje drugih slojeva terenskih podataka koji su ve\u0107 dostupni u sustavu ili ih je korisnik izravno u\u010ditao (uzorkovanje tla, skupovi podataka o prinosu itd.).<\/p>\r\n

Kao rezultat toga, slobodni ste djelovati s\u00a0potpuni skup parametara<\/span>\u00a0provo\u0111enje integrirane analitike:<\/p>\r\n\r\n\r\n\r\n

Vi\u0161eslojna analiza podataka o prinosu<\/strong><\/p>\r\n

Podatci daljinskog istra\u017eivanja<\/p>\r\n

    \r\n
  • Karta potencijalne produktivnosti (jednogodi\u0161nja i vi\u0161egodi\u0161nja)<\/li>\r\n
  • Karta stabilnosti\/varijacija<\/li>\r\n
  • Vegetacijski indeksi NDVI, EVI2, WDRVI, LAI, SAVI, OSAVI, GCI, GNDVI<\/li>\r\n<\/ul>\r\n

    Topografija:<\/p>\r\n

      \r\n
    • Digitalna elevacija<\/li>\r\n
    • Nagib<\/li>\r\n
    • Zakrivljenost<\/li>\r\n
    • Indeks vla\u017enosti<\/li>\r\n
    • Sjene brda<\/li>\r\n<\/ul>\r\n

      Podaci o tlu:<\/p>\r\n

        \r\n
      • pH<\/li>\r\n
      • KEC (kapacitet izmjene kationa)<\/li>\r\n
      • SOM (organska tvar u tlu)<\/li>\r\n
      • K (kalij)<\/li>\r\n
      • Tanak sloj povr\u0161inskog tla, ni\u017ei kapacitet zadr\u017eavanja vode (tlo sklono su\u0161i)<\/li>\r\n
      • EC (elektri\u010dna vodljivost)<\/li>\r\n
      • i druga kemijska svojstva dostupna u prenesenom skupu podataka<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n

        Va\u017eno je naglasiti da se prilago\u0111eni faktori konfiguriraju na vrhu svakog podatkovnog sloja kako bi se dodijelili \u017eeljeni\u00a0te\u017eina sloja<\/span>.Dobrodo\u0161li ste da podijelite svoje slu\u010dajeve upotrebe integrirane analitike i izradite karte zona upravljanja na temelju svog znanja o podru\u010dju prilikom odabira izvora podataka i njihovih te\u017eina u GeoPardu.<\/p>\r\n\r\n\r\n\r\n

        Slike u ovom blogu sadr\u017ee uzorak polja sa slojevima podataka (poput karte produktivnosti koja pokriva 18 godina, digitalnog modela elevacije, nagiba, sjene brda, podataka o prinosu iz 2019.) i raznim kombinacijama mapa za integracijsku analitiku.\u00a0<\/p>\r\n

        Mo\u017eete pratiti korake evolucije upravlja\u010dkih zona dok istovremeno pro\u0161irujete analitiku integracije dodatnim slojem podataka.<\/p>\r\n

        \r\n

        \u010cesto postavljana pitanja<\/h2>\r\n
        \r\n

        1. \u0160to su podatkovni slojevi?<\/strong><\/p>\r\n

        Slojevi podataka odnose se na pojedina\u010dne komponente ili elemente podataka koji su organizirani i slo\u017eeni zajedno kako bi stvorili sveobuhvatan prikaz odre\u0111enog podru\u010dja ili teme.<\/p>\r\n

        Svaki sloj predstavlja specifi\u010dan aspekt podataka, kao \u0161to su geografske zna\u010dajke, kori\u0161tenje zemlji\u0161ta, gusto\u0107a naseljenosti ili \u010dimbenici okoli\u0161a. Ovi se slojevi mogu kombinirati i analizirati zajedno kako bi se dobili uvidi, vizualizirali obrasci i donosile informirane odluke.<\/p>\r\n

        Slojevi podataka se \u010desto koriste u geografskim informacijskim sustavima (GIS) i prostornoj analizi kako bi se bolje razumjeli i predstavili slo\u017eeni podaci na vizualan i interpretativan na\u010din.<\/p>\r\n

        2. \u0160to je integrirana analiza?<\/strong><\/p>\r\n

        Integrirana analiza odnosi se na proces kombiniranja i analiziranja podataka iz vi\u0161e izvora ili disciplina kako bi se dobilo sveobuhvatnije i holisti\u010dkije razumijevanje odre\u0111enog problema ili fenomena.<\/p>\r\n

        To uklju\u010duje spajanje skupova podataka, primjenu statisti\u010dkih tehnika i istra\u017eivanje odnosa izme\u0111u razli\u010ditih varijabli ili domena.<\/p>\r\n

        Integrirana analiza omogu\u0107uje nijansiraniji i me\u0111usobno povezani pogled na slo\u017eene sustave, olak\u0161avaju\u0107i prepoznavanje obrazaca, trendova i uzro\u010dno-posljedi\u010dnih odnosa koji mo\u017eda nisu vidljivi pri analizi podataka izolirano.<\/p>\r\n

        Ovaj pristup omogu\u0107uje istra\u017eiva\u010dima i donositeljima odluka dono\u0161enje informiranijih i u\u010dinkovitijih odluka na temelju \u0161ireg raspona informacija.<\/p>","protected":false},"excerpt":{"rendered":"

        Precizna poljoprivreda sposobna je generirati ogromne koli\u010dine podataka u obliku podataka o prinosu, satelitskih snimaka i plodnosti tla, izme\u0111u ostalog. Nedostatak jednostavnog clouda\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\/hr\/blog\/viseslojna-analitika\/\" \/>\n<meta property=\"og:locale\" content=\"hr_HR\" \/>\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\/hr\/blog\/viseslojna-analitika\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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