摘要
农业灾害频繁爆发的主要原因之一就是虫害。虫害不但制约着农作物的产量,而且也影响着农作物的品质。在早期发现并准确定位和识别害虫,对其未来的发展趋势做出评估,这种方法可有效精确提高施药方法和综合防治病虫害的针对性和准确性。本文针对农业中虫害发生数据的特点,以及对相关基础理论的研究,总结相应的监控模型,并基于区域的虫害发生量进行预测。
One of the main causes of frequent agricultural disasters is pests. Insect pests not only restrict the yield of crops, but also affect the quality of crops. Early detection and identification of pests and accurate identification of their future development trends,this method can effectively improve the accuracy and accuracy of the application of pesticides and integrated pest control. In this paper, the characteristics of pest occurrence data in agriculture, as well as the research on relevant basic theories, summarize the corresponding monitoring models, and predict based on the amount of pests in the region.
引文
[1]张佳锐.基于物联网的农业虫害智能监控系统的设计与实现[D].湖南大学,2015.
[2]杨新年,刘锋,田铁刚,等.一种基于改进遗传算法的网格调度算法[J].计算机与数字工程,2018,46(09):1786-1789+1795.
[3]张恩迪,张佳锐.基于物联网的农业虫害智能监控系统[J].农机化研究,2015,37(5):229-234.
[4]张芳群.基于Web技术的虫害预测系统的研究[D].浙江理工大学,2017.