{"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":"daudzslanu-analitika","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lv\/blog\/multi-layer-analytics\/","title":{"rendered":"Daudzsl\u0101\u0146u (integr\u0113ta) datu anal\u012bze prec\u012bzaj\u0101 lauksaimniec\u012bb\u0101"},"content":{"rendered":"

Prec\u012bz\u0101 lauksaimniec\u012bba sp\u0113j rad\u012bt\u00a0milz\u012bgs datu apjoms.<\/span>\u00a0piem\u0113ram, dati par ra\u017eu, satel\u012btatt\u0113li un augsnes augl\u012bbu.<\/p>\r\n

Prec\u012bz\u0101s lauksaimniec\u012bbas tehnolo\u0123iju izmanto\u0161anu ierobe\u017eo tas, ka tr\u016bkst viegli lietojamu m\u0101ko\u0146dato\u0161anas programmat\u016bras r\u012bku komplektu, kas pal\u012bdz\u0113tu lauka datu sl\u0101\u0146us p\u0101rv\u0113rst noder\u012bg\u0101s zin\u0101\u0161an\u0101s un praktiski izmantojamos ieteikumos.<\/p>\r\n

Prec\u012bzaj\u0101 lauksaimniec\u012bb\u0101 p\u0101rvald\u012bbas zonas ir lauka apgabali, kuriem ir l\u012bdz\u012bgs ra\u017eas potenci\u0101ls, pamatojoties uz augsnes tipu, nog\u0101zes novietojumu, augsnes \u0137\u012bmisko sast\u0101vu, mikroklimatu un\/vai citiem faktoriem, kas ietekm\u0113 kult\u016braugu ra\u017eo\u0161anu.<\/p>\r\n

Port\u0101ls\u00a0ra\u017eot\u0101ja zin\u0101\u0161anas attiec\u012bgaj\u0101 jom\u0101<\/span>\u00a0ir \u013coti svar\u012bga procesa sast\u0101vda\u013ca. Apsaimnieko\u0161anas zonas tiek uzskat\u012btas par meh\u0101nismu, lai optimiz\u0113tu kult\u016braugu ieguld\u012bjumu un ra\u017eas potenci\u0101lu.<\/p>\r\n\t\t

\n\t\t\t
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\"18<\/figure><\/div>
\"Kombin\u0113t\u0101<\/figure><\/div>
\"Kombin\u0113t\u0101<\/figure><\/div>
\"Kombin\u0113t\u0101<\/figure><\/div>
\"Labota<\/figure><\/div>
\"zonas<\/figure><\/div>
\"kombin\u0113t\u0101<\/figure><\/div>
\"kartes<\/figure><\/div>
\"Kombin\u0113t\u0101<\/figure><\/div>
\"kop\u0101<\/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

Kartes, kas \u0123ener\u0113tas ar vienu datu sl\u0101ni un vair\u0101kiem datu sl\u0101\u0146iem.<\/em><\/p>\r\n

Liels izaicin\u0101jums ir izveidot apsaimnieko\u0161anas zonas, kas piln\u012bb\u0101 atspogu\u013co lauku main\u012bbu. Da\u017e\u0101du sl\u0101\u0146u, piem\u0113ram, satel\u012btatt\u0113lu, augsnes augl\u012bbas, topogr\u0101fijas atvasin\u0101jumu un ra\u017eas monitora datu kombin\u0101cija ir n\u0101kamais lo\u0123iskais solis, lai rad\u012btu. elast\u012bg\u0101kas p\u0101rvald\u012bbas zonas.<\/span>.<\/p>\r\n\r\n\r\n\r\n

Daudzsl\u0101\u0146u anal\u012btika (paz\u012bstama ar\u012b k\u0101 integr\u0113ta anal\u012bze<\/span>) k\u013c\u016bst par da\u013cu no GeoPard \u0123eotelpisk\u0101s anal\u012btikas dzin\u0113ja.<\/p>\r\n\r\n\r\n\r\n

Klasisk\u0101s integr\u0113t\u0101s anal\u012bzes parametru kombin\u0101cijas ietver vienu vai vair\u0101kus ra\u017eas datus, NDVI karti, augstumu un augsnes sensora fizik\u0101li \u0137\u012bmisk\u0101s \u012bpa\u0161\u012bbas.\u00a0<\/p>\r\n

GeoPard atbalsta \u0161os parametrus un papildus \u013cauj iek\u013caut citus lauka datu sl\u0101\u0146us, kas jau ir pieejami sist\u0113m\u0101 vai ko lietot\u0101js ir aug\u0161upiel\u0101d\u0113jis tie\u0161i (augsnes paraugu \u0146em\u0161ana, ra\u017eas datu kopas u. c.).<\/p>\r\n

T\u0101 rezult\u0101t\u0101 j\u016bs varat br\u012bvi darboties ar\u00a0pilns parametru komplekts<\/span>\u00a0veikt integr\u0113tu anal\u012bzi:<\/p>\r\n\r\n\r\n\r\n

Daudzsl\u0101\u0146u ra\u017eas datu anal\u012bze<\/strong><\/p>\r\n

Att\u0101l\u0101s izp\u0113tes dati:<\/p>\r\n

    \r\n
  • Potenci\u0101l\u0101 produktivit\u0101tes karte (viengad\u012bga un daudzgad\u012bga)<\/li>\r\n
  • Stabilit\u0101tes\/vari\u0101ciju karte<\/li>\r\n
  • Ve\u0123et\u0101cijas indeksi NDVI, EVI2, WDRVI, LAI, SAVI, OSAVI, GCI, GNDVI<\/li>\r\n<\/ul>\r\n

    Topogr\u0101fija:<\/p>\r\n

      \r\n
    • Digit\u0101lais pac\u0113lums<\/li>\r\n
    • Sl\u012bpums<\/li>\r\n
    • Izliekums<\/li>\r\n
    • Mitruma indekss<\/li>\r\n
    • Hillshades<\/li>\r\n<\/ul>\r\n

      Augsnes dati:<\/p>\r\n

        \r\n
      • pH<\/li>\r\n
      • CEC (katjonu apmai\u0146as sp\u0113ja)<\/li>\r\n
      • SOM (augsnes organisk\u0101 viela)<\/li>\r\n
      • K (k\u0101lijs)<\/li>\r\n
      • Mazs augsnes virsk\u0101rtas dzi\u013cums, maz\u0101ka pieejam\u0101 \u016bdens aiztur\u0113\u0161anas sp\u0113ja (augsne, kas ir jut\u012bga pret sausumu).<\/li>\r\n
      • EC (elektrovad\u012btsp\u0113ja)<\/li>\r\n
      • un citi aug\u0161upiel\u0101d\u0113taj\u0101 datu kop\u0101 pieejamie \u0137\u012bmiskie atrib\u016bti.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n

        Ir svar\u012bgi uzsv\u0113rt, ka piel\u0101gotie faktori tiek konfigur\u0113ti virs katra datu sl\u0101\u0146a, lai pie\u0161\u0137irtu v\u0113lamo.\u00a0sl\u0101\u0146a svars<\/span>. Esiet laipni aicin\u0101ti dal\u012bties ar saviem integr\u0113t\u0101s anal\u012btikas izmanto\u0161anas gad\u012bjumiem un veidot p\u0101rvald\u012bbas zonu kartes, pamatojoties uz sav\u0101m zin\u0101\u0161an\u0101m \u0161aj\u0101 jom\u0101, vienlaikus izv\u0113loties datu avotus un to svaru programm\u0101 GeoPard.<\/p>\r\n\r\n\r\n\r\n

        \u0160aj\u0101 blog\u0101 redzamajos att\u0113los ir lauka paraugs ar datu sl\u0101\u0146iem (piem\u0113ram, ra\u017e\u012bbas karte, kas aptver 18 gadus, digit\u0101lais reljefa modelis, sl\u012bpums, pauguru \u0113na, 2019. gada ra\u017eas dati) un da\u017e\u0101das integr\u0101cijas anal\u012btikas kar\u0161u kombin\u0101cijas.\u00a0<\/p>\r\n

        Varat sekot p\u0101rvald\u012bbas zonu evol\u016bcijas so\u013ciem, vienlaikus papla\u0161inot integr\u0101cijas anal\u012btiku ar papildu datu sl\u0101ni.<\/p>\r\n

        \r\n

        Bie\u017e\u0101k uzdotie jaut\u0101jumi<\/h2>\r\n
        \r\n

        1. Kas ir datu sl\u0101\u0146i?<\/strong><\/p>\r\n

        Datu sl\u0101\u0146i apz\u012bm\u0113 atsevi\u0161\u0137as datu sast\u0101vda\u013cas vai elementus, kas ir sak\u0101rtoti un sak\u0101rtoti kop\u0101, lai izveidotu visaptvero\u0161u konkr\u0113tas jomas vai t\u0113mas att\u0113lojumu.<\/p>\r\n

        Katrs sl\u0101nis atspogu\u013co konkr\u0113tu datu aspektu, piem\u0113ram, \u0123eogr\u0101fisk\u0101s \u012bpatn\u012bbas, zemes izmantojumu, iedz\u012bvot\u0101ju bl\u012bvumu vai vides faktorus. \u0160os sl\u0101\u0146us var apvienot un analiz\u0113t kop\u0101, lai g\u016btu ieskatu, vizualiz\u0113tu mode\u013cus un pie\u0146emtu pamatotus l\u0113mumus.<\/p>\r\n

        Datu sl\u0101\u0146us parasti izmanto \u0123eogr\u0101fisk\u0101s inform\u0101cijas sist\u0113m\u0101s (\u0122IS) un telpiskaj\u0101 anal\u012bz\u0113, lai lab\u0101k izprastu un att\u0113lotu sare\u017e\u0123\u012btus datus vizu\u0101l\u0101 un interpret\u0113jam\u0101 veid\u0101.<\/p>\r\n

        2. Kas ir integr\u0113t\u0101 anal\u012bze?<\/strong><\/p>\r\n

        Integr\u0113t\u0101 anal\u012bze ir process, kur\u0101 tiek apvienoti un analiz\u0113ti dati no vair\u0101kiem avotiem vai discipl\u012bn\u0101m, lai ieg\u016btu visaptvero\u0161\u0101ku un holistisk\u0101ku izpratni par konkr\u0113tu probl\u0113mu vai par\u0101d\u012bbu.<\/p>\r\n

        Tas ietver datu kopu apvieno\u0161anu, statistikas meto\u017eu piem\u0113ro\u0161anu un attiec\u012bbu izp\u0113ti starp da\u017e\u0101diem main\u012bgajiem lielumiem vai jom\u0101m.<\/p>\r\n

        Integr\u0113t\u0101 anal\u012bze \u013cauj ieg\u016bt nians\u0113t\u0101ku un savstarp\u0113ji saist\u012btu skat\u012bjumu uz sare\u017e\u0123\u012bt\u0101m sist\u0113m\u0101m, atvieglojot mode\u013cu, tenden\u010du un c\u0113lo\u0146sakar\u012bbu identific\u0113\u0161anu, kas var neb\u016bt redzamas, analiz\u0113jot datus atsevi\u0161\u0137i.<\/p>\r\n

        \u0160\u0101da pieeja \u013cauj p\u0113tniekiem un l\u0113mumu pie\u0146\u0113m\u0113jiem pie\u0146emt pamatot\u0101kus un efekt\u012bv\u0101kus l\u0113mumus, pamatojoties uz pla\u0161\u0101ku inform\u0101cijas kl\u0101stu.<\/p>","protected":false},"excerpt":{"rendered":"

        Prec\u012bz\u0101 lauksaimniec\u012bba sp\u0113j \u0123ener\u0113t milz\u012bgu datu apjomu, piem\u0113ram, ra\u017eas datus, satel\u012btatt\u0113lus un augsnes augl\u012bbas datus. Viegli lietojamu m\u0101ko\u0146pakalpojumu tr\u016bkums\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_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_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\/lv\/emuars\/daudzslanu-analitika\/\" \/>\n<meta property=\"og:locale\" content=\"lv_LV\" \/>\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\/lv\/emuars\/daudzslanu-analitika\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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