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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Production Systems Research » Research » Research Project #431750

Research Project: Developing Multiple Source Remote Sensing Information for Early Detection and Warning of Crop Pests and Diseases

Location: Crop Production Systems Research

Project Number: 6066-22000-081-06-N
Project Type: Non-Funded Cooperative Agreement

Start Date: Mar 3, 2017
End Date: Mar 2, 2022

Objective:
1. To investigate and develop the method of early detection of crop pests and diseases through multi-angle hyperspectral imaging. 2. To develop and establish an evaluation method of habitat suitability for crop pests and diseases through remote sensing monitoring and fuzzy comprehensive evaluation. 3. To develop and establish a dynamic forecasting model of crop pests and diseases by coupling remote sensing information, meteorological information and crop pest and disease infestation models.

Approach:
The collaborative works will be conducted jointly by Crop Production Systems Research Unit (CPSRU), Jamie Whitten Delta States Research Center (JWDSRC), Agricultural Research Service (ARS), United States Department of Agriculture (USDA) and Hangzhou Dianzi University, College of Life Information and Instrument Engineering, Hangzhou, China. The collaboration will involve research and development of state-of-the-art remote sensing engineering technologies to expand the development of multiple source remote sensing data and information for early detection and warning of crop pests and diseases. The crops that will be focused on include rice, wheat, corn, soybean, and cotton. The research will combine the results of fuzzy comprehensive evaluation of habitat suitability for crop pests and diseases and crop pest and disease infestation models. The collaborative research will cover all “but not limited to” the following aspects: 1) new methods for early detection of crop pests and disease through multi-angle hyperspectral imaging with image analysis; 2) a new evaluation method of habitat suitability for crop pests and diseases by investigating the relationship between the occurrence of crop pests and diseases and plant nitrogen contents and density; 3) new dynamic forecasting models for crop pest and disease forecasting for continuous spatial-temporal infestation warning. The collaborative research and development will be conducted with lab study and field experiments in the experiment bases of Hangzhou Dianzi University, College of Life Information and Instrument Engineering and its collaborators in China and the labs and research farms of USDA ARS CPSRU in Stoneville, Mississippi, USA. The research and development will be conducted at locations of the two parties. The results of the research will be shared by the two parties, and delivered as Science Citation Index (SCI) peer reviewed journal publications with mutual authorship.