数字农科院2.0

Intelligent control system and pests mathematical prediction model based on machine learning

文献类型： 外文期刊

作者： Cai Chaoyong; Cao Shanshan; Kong Fantao; Liu Jifnag; Sun Wei

作者机构：

关键词： Disease control; Fruits; Intelligent control; Machine learning; Topography; Apple disease; Disease prediction; Environmental factors; Environmental pollutions; Formation condition; Machine learning methods; Mathematical prediction models; Model-based OPC; Forecasting

期刊名称： 2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications, ICPECA 2022

ISSN：

年卷期： 2022 年

页码：

收录情况： EI（2022版）

摘要： In this paper, based on the formation conditions of climate and topography, the disease of apple is analyzed and predicted by using machine learning method. The prediction results are combined with the intelligent control of mobile ceiling to realize the discrimination and control of apple growth environment and reduce the impact of environmental factors on apple diseases and pests. The system can reduce the inaccuracy of artificial prediction, improve the accuracy of disease prediction, reduce the environmental pollution caused by pesticide abuse, Then improve the quality and yield of apple. © 2022 IEEE.

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