Application of the neuro-fuzzy approach to solving problems of soil phases evaluation

Davron Ziyadullaev, Dilnoz Mukhamedieva, Mukhammadyahyo Teshaboyev, Doniyor Abdurakhimov, Muzrob Bakhodirov, Gulchiroy Ziyodullaeva, Dostonbek Abduraimov
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Abstract

The role of variety in the efficient use of fertilizers is enormous. However, most researchers limited their studies to stating the facts about the different productivity of varieties under certain conditions of mineral nutrition. Varieties bear the "imprint" of the conditions in which they are bred. Hence, it is necessary to studythe features of their nutrition, the crop formation, and the quality of products at different forms, doses, ratios, terms and methods of applying mineral fertilizers on various soils of thecultivation zone of a given crop. The main aim of the article is to evaluate soil phases based on the use of a neuro-fuzzy approach. Three soil types were considered: irrigated typical serozem, serozem-meadow soil, and newly irrigated light serozem. A computational experiment was conducted to assess the type of soil, taking into account characteristics such as soil density and humus in percentage terms.
神经模糊方法在土壤物相评价中的应用
品种在有效利用肥料方面的作用是巨大的。然而,大多数研究人员的研究仅限于说明在一定的矿物质营养条件下不同品种的不同生产力的事实。品种带有它们繁殖环境的“印记”。因此,有必要对某一作物种植区不同土壤在不同形式、剂量、比例、施用条件和施用方法下的矿质肥料的营养特征、作物形成和产品质量进行研究。本文的主要目的是基于使用神经模糊方法来评价土壤相。考虑了三种土壤类型:灌溉典型血清素、血清素草甸土和新灌溉轻度血清素。考虑到土壤密度和腐殖质等特征,进行了计算实验来评估土壤类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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