Dynamic Forecast of Desert Locust Presence Using Machine Learning with a Multivariate Time Lag Sliding Window Technique

Dynamic Forecast of Desert Locust Presence Using Machine Learning with a Multivariate Time Lag Sliding Window Technique

Desert locust plagues can easily cause a regional food crisis and thus affect social stability. Preventive control of the disaster highlights the early detection of hopper gregarization before they form devastating swarms. However, the response of hopper band emergence to environmental fluctuation e...

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Bibliographic Details
Main Authors: Ruiqi Sun, Wenjiang Huang, Yingying Dong, Longlong Zhao, Biyao Zhang, Huiqin Ma, Yun Geng, Chao Ruan, Naichen Xing, Xidong Chen, Xueling Li
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
desert locust
environmental indicator
dynamic forecast
machine learning
time lag
Online Access:https://www.mdpi.com/2072-4292/14/3/747

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