模糊计算在农业物理中的应用

D. Kurtener, V. Yakushev
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引用次数: 0

摘要

传统的农业物理问题决策是用面向问题的模型来评价的。模糊计算的应用为农业物理研究提供了一个新的维度。众所周知,在农业科学中存在着许多模糊知识,即本质上是模糊的、不精确的、不确定的、含糊的、不精确的或概率性的知识。模糊计算是处理随机性和不确定性的有力工具。本文综述了模糊计算在农业物理学中的应用。重点是俄罗斯圣彼得堡农业物理研究所的成果,特别是在土壤耕作、作物管理、精准农业、改良和农业工程等领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization of Fuzzy Computing in Agrophysics
Traditionally decision of agrophysics problems was evaluated with problem-oriented models. Utilization of fuzzy computing gives new dimension for agrophsics. It is well known that in agricultural sciences there exists much fuzzy knowledge, that is, knowledge which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic in nature. Fuzzy Computing is power tools for dealing with randomness and uncertainties. This paper reviews exploitation of fuzzy computing in agrophysics. The emphasis is on the achievements of Agrophysical Research Institute, St. Petersburg, Russia, especially in the fields of soil tillage, crop management, precision agriculture, melioration, and agricultural engineering.
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