植物疾病爆发-通过高级数据分析预测

Outi Mäyrä, M. Ruusunen, M. Jalli, L. Jauhiainen, K. Leiviskä
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引用次数: 3

摘要

在农作物种植中,病虫害对粮食产量和质量都造成损失。杀菌剂是用来保护产量的。有了准确的植物病害预测系统,农民可以优化农药喷洒,节省资金和环境。植物病害建模是现代农业中具有挑战性和广泛讨论的课题。本文介绍了网络色斑预测的新观点。该方法将气象观测资料与历史网斑观测资料相结合,引入基于数据的预报系统。并以选定的野外观测数据为例,对该估计方案进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plant Disease Outbreak - Prediction by Advanced Data Analysis
In crop farming, pests and plant diseases cause losses for both grain yield and quality. The fungicides are used for yield protection. With the accurate plant disease prediction system, the farmers could optimize the chemical spraying and save money and environment. The plant disease modelling is challenging and widely discussed topic in modern agriculture. This short paper introduces the novel point of view for the net blotch prediction. In this approach, the weather measurements are combined with the historical net blotch observations and the data based prediction system is introduced. The estimation scheme is demonstrated with the example of the selected observation field data.
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