Desert area planting intelligent decision-making method, device, equipment and storage medium
A planting device and intelligent decision-making technology, which is applied in the direction of reasoning methods, neural learning methods, data processing applications, etc., can solve the problems of poor portability, inability to adapt to different environmental conditions, low accuracy of strategy recommendation and planning, and improve accuracy Effect
Pending Publication Date: 2022-02-11
GUANGZHOU UNIVERSITY
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Problems solved by technology
However, the existing schemes rely on a single expert system, and the single expert system has poor portability and cannot adapt to the standards of different environmental conditions. It has limitations, and the accuracy of strategy recommendation and planning is low, so it is necessary to find a solution
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[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.
[0032] The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For ...
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The invention discloses a desert area planting intelligent decision-making method, a device, equipment and storage medium and a storage medium. The method comprises the steps: collecting the environment information of the desert area through an environment information collection layer, and enabling a data processing and modeling layer to comprise an expert knowledge base, an inference engine and an environment database; the inference engine is used for carrying out inference judgment according to the environment database and the expert knowledge base and determining an inference result, the intelligent strategy generation layer comprises a neural network model, and the neural network model is used for generating the environment database according to the environment information and sending the environment database to the expert knowledge base. Rule matching is carried out according to the environment database and the reasoning result, a planting decision result is generated, the planting decision result is generated in combination with an expert knowledge base, an inference engine and a neural network model, the accuracy of the planting decision result is improved, the defect of a single expert system is overcome. The invention can be widely applied to the technical field of planting.
Description
technical field [0001] The invention relates to the field of planting, in particular to an intelligent decision-making method, device, equipment and storage medium for planting in a desert area. Background technique [0002] Today, in many engineering operations in harsh environments, purely manual operations still account for a large proportion. In occasions such as desert greening construction, data is collected manually and planted based on the experience of on-site personnel, so strategy recommendation and planning systems have emerged Technology, the existing strategy recommendation and planning system technical expert system for planting decision-making, the expert system is a computer program system that integrates the knowledge and experience of a large number of relevant industry experts internally, and can be based on the domain knowledge and experience data of the existing expert level. The computer simulates the thinking process of forestry experts such as reason...
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Login to View More IPC IPC(8): G06Q10/06G06Q50/02G06N3/08G06N5/04
CPCG06Q10/0637G06Q50/02G06N3/08G06N5/04
Inventor 刘长红李思道冯一峰何佳伟冼嘉辉梁忠伟萧金瑞
Owner GUANGZHOU UNIVERSITY