{"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":"monikerroksinen-analytiikka","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fin\/blog\/multi-layer-analytics\/","title":{"rendered":"Monikerroksinen (integroitu) data-analyysi t\u00e4sm\u00e4viljelyss\u00e4"},"content":{"rendered":"

T\u00e4sm\u00e4viljely pystyy tuottamaan\u00a0valtavat m\u00e4\u00e4r\u00e4t dataa<\/span>\u00a0muun muassa satotietojen, satelliittikuvien ja maaper\u00e4n hedelm\u00e4llisyystietojen muodossa.<\/p>\r\n

Helppok\u00e4ytt\u00f6isten pilvipohjaisten tarkkuusohjelmistoty\u00f6kalupakkien puute, jotka auttavat viljelykasvien tuottajia muuntamaan peltotietokerrokset hy\u00f6dylliseksi tiedoksi ja toimintasuosituksiksi, rajoittaa tarkkuusviljelyteknologioiden soveltamista.<\/p>\r\n

T\u00e4sm\u00e4viljelyss\u00e4 hoitovy\u00f6hykkeet ovat pellon sis\u00e4ll\u00e4 olevia alueita, joilla on samanlainen satopotentiaali maaper\u00e4n tyypin, rinteen sijainnin, maaper\u00e4n kemian, mikroilmaston ja\/tai muiden sadontuotantoon vaikuttavien tekij\u00f6iden perusteella.<\/p>\r\n

The\u00a0tuottajan tiet\u00e4mys tietyst\u00e4 alasta<\/span>\u00a0on eritt\u00e4in t\u00e4rke\u00e4 osa prosessia. Hallintavy\u00f6hykkeit\u00e4 pidet\u00e4\u00e4n mekanismina, jolla optimoidaan viljelypanoksia ja satopotentiaalia.<\/p>\r\n\t\t

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\"18<\/figure><\/div>
\"Yhdistetty<\/figure><\/div>
\"Yhdistetty<\/figure><\/div>
\"Yhdistetty<\/figure><\/div>
\"Korjattu<\/figure><\/div>
\"vy\u00f6hykkeiden<\/figure><\/div>
\"yhdistetty<\/figure><\/div>
\"kartat,<\/figure><\/div>
\"Yhdistetty<\/figure><\/div>
\"Yhteens\u00e4<\/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

Yhdell\u00e4 ja useilla tietokerroksilla luodut kartat.<\/em><\/p>\r\n

Suurin haaste on rakentaa hoitovy\u00f6hykkeit\u00e4, jotka heijastavat t\u00e4ydellisesti peltojen vaihtelua. Erilaisten tasojen, kuten satelliittikuvien, maaper\u00e4n hedelm\u00e4llisyyden, topografian johdannaisten ja satom\u00e4\u00e4r\u00e4n seurantatietojen, yhdistelm\u00e4 on seuraava looginen askel reagoivammat hallinta-alueet<\/span>.<\/p>\r\n\r\n\r\n\r\n

Monikerroksinen analytiikka (tunnetaan my\u00f6s nimell\u00e4 integroitu analyysi<\/span>) on tulossa osaksi GeoPardin paikkatietoanalytiikkamoottoria.<\/p>\r\n\r\n\r\n\r\n

Klassisia integroitujen analyysiparametrien yhdistelmi\u00e4 ovat yksi tai useampi satotieto, NDVI-kartta, korkeus ja maaper\u00e4anturin fysikaalis-kemialliset ominaisuudet.\u00a0<\/p>\r\n

GeoPard tukee n\u00e4it\u00e4 parametreja ja lis\u00e4ksi mahdollistaa muiden kentt\u00e4tietotasojen sis\u00e4llytt\u00e4misen, jotka ovat joko jo j\u00e4rjestelm\u00e4ss\u00e4 saatavilla tai k\u00e4ytt\u00e4j\u00e4n suoraan lataamia (maaper\u00e4n\u00e4ytteet, satoaineistot jne.).<\/p>\r\n

T\u00e4m\u00e4n ansiosta voit toimia vapaasti\u00a0t\u00e4ydellinen parametrijoukko<\/span>\u00a0integroidun analytiikan tekeminen:<\/p>\r\n\r\n\r\n\r\n

Monikerroksinen satotietojen analytiikka<\/strong><\/p>\r\n

Kaukokartoitustiedot:<\/p>\r\n

    \r\n
  • Potentiaalisen tuottavuuden kartta (yksi- ja monivuotinen)<\/li>\r\n
  • Vakaus-\/vaihtelukartta<\/li>\r\n
  • Kasvillisuusindeksit NDVI, EVI2, WDRVI, LAI, SAVI, OSAVI, GCI, GNDVI<\/li>\r\n<\/ul>\r\n

    Topografia:<\/p>\r\n

      \r\n
    • Digitaalinen korkeus<\/li>\r\n
    • Kaltevuus<\/li>\r\n
    • Kaarevuus<\/li>\r\n
    • Kosteusindeksi<\/li>\r\n
    • M\u00e4envarjot<\/li>\r\n<\/ul>\r\n

      Maaper\u00e4tiedot:<\/p>\r\n

        \r\n
      • pH<\/li>\r\n
      • CEC (kationinvaihtokapasiteetti)<\/li>\r\n
      • Maaper\u00e4n orgaaninen aines (SOM)<\/li>\r\n
      • K (kalium)<\/li>\r\n
      • Ohut pintamaakerros, alhaisempi vedenpid\u00e4tyskyky (kuivuusaltis maaper\u00e4)<\/li>\r\n
      • EC (s\u00e4hk\u00f6njohtavuus)<\/li>\r\n
      • ja muut ladatussa tietoaineistossa saatavilla olevat kemialliset ominaisuudet<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n

        On t\u00e4rke\u00e4\u00e4 korostaa, ett\u00e4 mukautetut tekij\u00e4t m\u00e4\u00e4ritet\u00e4\u00e4n jokaisen tietokerroksen p\u00e4\u00e4lle halutun arvon m\u00e4\u00e4ritt\u00e4miseksi.\u00a0kerroksen paino<\/span>.Olet eritt\u00e4in tervetullut jakamaan integroidun analytiikan k\u00e4ytt\u00f6tapauksiasi ja rakentamaan hallintavy\u00f6hykekarttoja alan tiet\u00e4myksesi perusteella valitessasi tietol\u00e4hteit\u00e4 ja niiden painotuksia GeoPardissa.<\/p>\r\n\r\n\r\n\r\n

        T\u00e4m\u00e4n blogin kuvissa on esimerkkikentt\u00e4, jossa on datakerroksia (kuten 18 vuotta kattava tuottavuuskartta, digitaalinen korkeusmalli, kaltevuus, rinteiden varjostus, vuoden 2019 satotiedot) ja erilaisia integraatioanalytiikkakarttojen yhdistelmi\u00e4.\u00a0<\/p>\r\n

        Voit seurata hallintavy\u00f6hykkeiden kehityksen vaiheita ja laajentaa integraatioanalytiikkaa lis\u00e4tietokerroksella.<\/p>\r\n

        \r\n

        Usein kysytyt kysymykset<\/h2>\r\n
        \r\n

        1. Mit\u00e4 ovat tietokerrokset?<\/strong><\/p>\r\n

        Tietokerrokset viittaavat yksitt\u00e4isiin datan osiin tai elementteihin, jotka on j\u00e4rjestetty ja pinottu yhteen luomaan kattava kuvaus tietyst\u00e4 alueesta tai aiheesta.<\/p>\r\n

        Jokainen taso edustaa tietty\u00e4 datan osa-aluetta, kuten maantieteellisi\u00e4 piirteit\u00e4, maank\u00e4ytt\u00f6\u00e4, v\u00e4est\u00f6tiheytt\u00e4 tai ymp\u00e4rist\u00f6tekij\u00f6it\u00e4. N\u00e4it\u00e4 tasoja voidaan yhdist\u00e4\u00e4 ja analysoida yhdess\u00e4, jotta saadaan tietoa, visualisoidaan malleja ja tehd\u00e4\u00e4n tietoon perustuvia p\u00e4\u00e4t\u00f6ksi\u00e4.<\/p>\r\n

        Tietokerroksia k\u00e4ytet\u00e4\u00e4n yleisesti paikkatietoj\u00e4rjestelmiss\u00e4 (GIS) ja spatiaalisessa analyysiss\u00e4 monimutkaisen datan ymm\u00e4rt\u00e4miseksi ja esitt\u00e4miseksi visuaalisesti ja tulkittavalla tavalla.<\/p>\r\n

        2. Mit\u00e4 on integroitu analyysi?<\/strong><\/p>\r\n

        Integroitu analyysi viittaa prosessiin, jossa yhdistet\u00e4\u00e4n ja analysoidaan useista l\u00e4hteist\u00e4 tai tieteenaloista per\u00e4isin olevaa dataa kokonaisvaltaisemman ja kokonaisvaltaisemman ymm\u00e4rryksen saavuttamiseksi tietyst\u00e4 ongelmasta tai ilmi\u00f6st\u00e4.<\/p>\r\n

        Se sis\u00e4lt\u00e4\u00e4 tietojoukkojen yhdist\u00e4misen, tilastollisten tekniikoiden soveltamisen ja eri muuttujien tai alueiden v\u00e4listen suhteiden tutkimisen.<\/p>\r\n

        Integroitu analyysi mahdollistaa monimutkaisten j\u00e4rjestelmien vivahteikkaamman ja toisiinsa kytkeytyneemm\u00e4n kuvan, mik\u00e4 helpottaa sellaisten mallien, trendien ja syy-seuraussuhteiden tunnistamista, jotka eiv\u00e4t v\u00e4ltt\u00e4m\u00e4tt\u00e4 ole ilmeisi\u00e4 analysoitaessa tietoja erikseen.<\/p>\r\n

        T\u00e4m\u00e4 l\u00e4hestymistapa antaa tutkijoille ja p\u00e4\u00e4t\u00f6ksentekij\u00f6ille mahdollisuuden tehd\u00e4 tietoisempia ja tehokkaampia p\u00e4\u00e4t\u00f6ksi\u00e4 laajemman tietom\u00e4\u00e4r\u00e4n perusteella.<\/p>","protected":false},"excerpt":{"rendered":"

        T\u00e4sm\u00e4viljely pystyy tuottamaan valtavia m\u00e4\u00e4ri\u00e4 dataa muun muassa satotietojen, satelliittikuvien ja maaper\u00e4n hedelm\u00e4llisyystietojen muodossa. Helppok\u00e4ytt\u00f6isten pilvipalveluiden puute\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\/fin\/blogi\/monikerroksinen-analytiikka\/\" \/>\n<meta property=\"og:locale\" content=\"fi_FI\" \/>\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\/fin\/blogi\/monikerroksinen-analytiikka\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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