Abstract
Effective monitoring and early warning of locusts which are one of the main harmful insects in agriculture are the key to protecting farmland ecology. However, due to the large area of farmland, sparsely populated population, inconvenient transportation, network connectivity and other factors, coupled with the locust's own characteristics such as outbreak, migration, and occurrence uncertainty, the task of locust control is very difficult. Traditional survey techniques are far from being able to meet the requirements for real-time monitoring and precise forecasting of the occurrence of locusts. Therefore, this article provides a set of IoT solutions for locust situation monitoring in the context of the Internet of Everything.
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