Detecting Key Factors of Grasshopper Occurrence in Typical Steppe and Meadow Steppe by Integrating Machine Learning Model and Remote Sensing Data

SIMPLE SUMMARY: Grasshoppers are among the most dangerous agricultural pests of China. However, the monitoring, prediction and control of grasshoppers are complex and difficult. Therefore, it is crucial to detect the key factors affecting the spatial distribution of grasshopper occurrence, understan...

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Detalles Bibliográficos
Autores principales: Lu, Longhui, Kong, Weiping, Eerdengqimuge, Ye, Huichun, Sun, Zhongxiang, Wang, Ning, Du, Bobo, Zhou, Yantao, Weijun, Huang, Wenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603866/
https://www.ncbi.nlm.nih.gov/pubmed/36292842
http://dx.doi.org/10.3390/insects13100894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603866/
https://www.ncbi.nlm.nih.gov/pubmed/36292842
http://dx.doi.org/10.3390/insects13100894

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