What question did this study set out to answer?

The study aims to enhance crop pest and disease monitoring and forecasting using integrated multi-source data.

July 1, 2019

Monitoring and forecasting for disease and pest in crop based on WebGIS system

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Randomized trial evaluates monitoring and forecasting of crop pests and diseases using a WebGIS system, implying improved agricultural management.

The study aims to enhance crop pest and disease monitoring and forecasting using integrated multi-source data.
Developed an automatic monitoring and forecasting system on a WebGIS platform.
Integrated hyperspectral data, remote sensing images, and meteorological observations.
Analyzed the impact of wheat rust and locust infestation in 2019 using the new system.
Improved accuracy of monitoring and forecasting pest and disease development.
Enabled timely and efficient extraction of crop pest and disease information.
Contributed to reduced chemical pesticide use and enhanced food security.

Dong et al. (2019) studied this question.

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Randomized trial evaluates monitoring and forecasting of crop pests and diseases using a WebGIS system, implying improved agricultural management.