{"title":"利用产量制图数据识别土壤肥力的田间异质性区域","authors":"S. Mitrofanov","doi":"10.33267/2072-9642-2023-2-16-20","DOIUrl":null,"url":null,"abstract":"Mathematical models developed on the basis of a big data array of stationary agrochemical field experiments of the Federal State Budgetary Scientific Institution \"Federal Research Center \"Nemchinovka\" on different types (subtypes) of soils for calculating the potential yield and doses of fertilizers for the planned crop yield are presented. The combined use of such models with yield mapping data can potentially be used to identify areas of in-field heterogeneity in soil fertility.","PeriodicalId":169300,"journal":{"name":"Machinery and Equipment for Rural Area","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Yield Mapping Data to Identify Areas of In-field Heterogeneity in Soil Fertility\",\"authors\":\"S. Mitrofanov\",\"doi\":\"10.33267/2072-9642-2023-2-16-20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mathematical models developed on the basis of a big data array of stationary agrochemical field experiments of the Federal State Budgetary Scientific Institution \\\"Federal Research Center \\\"Nemchinovka\\\" on different types (subtypes) of soils for calculating the potential yield and doses of fertilizers for the planned crop yield are presented. The combined use of such models with yield mapping data can potentially be used to identify areas of in-field heterogeneity in soil fertility.\",\"PeriodicalId\":169300,\"journal\":{\"name\":\"Machinery and Equipment for Rural Area\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Machinery and Equipment for Rural Area\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33267/2072-9642-2023-2-16-20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machinery and Equipment for Rural Area","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33267/2072-9642-2023-2-16-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Yield Mapping Data to Identify Areas of In-field Heterogeneity in Soil Fertility
Mathematical models developed on the basis of a big data array of stationary agrochemical field experiments of the Federal State Budgetary Scientific Institution "Federal Research Center "Nemchinovka" on different types (subtypes) of soils for calculating the potential yield and doses of fertilizers for the planned crop yield are presented. The combined use of such models with yield mapping data can potentially be used to identify areas of in-field heterogeneity in soil fertility.
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