{"title":"软计算在植物育种和作物生产中的应用","authors":"D. Kurtener, V. Dragavtsev","doi":"10.17830/J.EAJ.2017.04.015","DOIUrl":null,"url":null,"abstract":"This article examines the applications of soft computing uses in plant breeding and crop production. The number of publications devoted directly to application of soft computing in plant breeding and crop production is comparatively small. Testing the hypothesis about the nature of the transgressions using ANFIS is considered. Also in this article a tool developed in Agrophysical Research Institute, St. Petersburg, Russia, is utilized for the fuzzy multi-attributive comparison of alternatives of hybrid soybean seed production.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"56 1","pages":"10-24"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Soft Computing in Plant Breeding and Crop Production\",\"authors\":\"D. Kurtener, V. Dragavtsev\",\"doi\":\"10.17830/J.EAJ.2017.04.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article examines the applications of soft computing uses in plant breeding and crop production. The number of publications devoted directly to application of soft computing in plant breeding and crop production is comparatively small. Testing the hypothesis about the nature of the transgressions using ANFIS is considered. Also in this article a tool developed in Agrophysical Research Institute, St. Petersburg, Russia, is utilized for the fuzzy multi-attributive comparison of alternatives of hybrid soybean seed production.\",\"PeriodicalId\":30775,\"journal\":{\"name\":\"European Agrophysical Journal\",\"volume\":\"56 1\",\"pages\":\"10-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Agrophysical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17830/J.EAJ.2017.04.015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Agrophysical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17830/J.EAJ.2017.04.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Soft Computing in Plant Breeding and Crop Production
This article examines the applications of soft computing uses in plant breeding and crop production. The number of publications devoted directly to application of soft computing in plant breeding and crop production is comparatively small. Testing the hypothesis about the nature of the transgressions using ANFIS is considered. Also in this article a tool developed in Agrophysical Research Institute, St. Petersburg, Russia, is utilized for the fuzzy multi-attributive comparison of alternatives of hybrid soybean seed production.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
