Impact of Fungicide Application Timing Based on Soybean Rust Prediction Model on Application Technology and Disease Control

Impact of Fungicide Application Timing Based on Soybean Rust Prediction Model on Application Technology and Disease Control

The application of remote sensing techniques and prediction models for soybean rust (SBR) monitoring may result in different fungicide application timings, control efficacy, and spraying performance. This study aimed to evaluate the applicability of a prediction model as a threshold for disease cont...

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书目详细资料
Main Authors: Matheus Mereb Negrisoli, Flávio Nunes da Silva, Raphael Mereb Negrisoli, Lucas da Silva Lopes, Francisco de Sales Souza Júnior, Bianca Rezende de Freitas, Edivaldo Domingues Velini, Carlos Gilberto Raetano
格式: 文件
语言:English
出版: MDPI AG 2022-09-01
丛编:Agronomy
主题:
<i>Phakopsora pachyrhizi</i>
integrated disease management
spraying technology
remote sensing
在线阅读:https://www.mdpi.com/2073-4395/12/9/2119

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https://www.mdpi.com/2073-4395/12/9/2119

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