Application of Soft Computing in Plant Breeding and Crop Production

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.