Application of Soft Computing in Plant Breeding and Crop Production

D. Kurtener, V. Dragavtsev
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引用次数: 1

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.
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软计算在植物育种和作物生产中的应用
本文探讨了软计算在植物育种和作物生产中的应用。直接讨论软计算在植物育种和作物生产中的应用的出版物相对较少。考虑使用ANFIS来检验关于越界性质的假设。本文还利用俄罗斯圣彼得堡农业物理研究所开发的一种工具,对杂交大豆制种方案进行模糊多属性比较。
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