Wei Guo is a Professor at the College of Artificial Intelligence, Henan Agricultural University, China. She received her Ph.D. in Agricultural Remote Sensing Applications from Beijing Forestry University. Her research focuses on agricultural remote sensing and smart agriculture, especially remote sensing-based monitoring, diagnosis, and early warning of crop diseases. Her work integrates disease-induced spectral response mechanisms with ground spectroscopy, UAV and satellite remote sensing, multi-source data fusion, and artificial intelligence. Recent studies emphasize hyperspectral feature mining, UAV–satellite integration, lightweight deep learning, and spatiotemporal disease monitoring in peanut and wheat. She has led two projects funded by the National Natural Science Foundation of China and more than 15 provincial and ministerial projects, published over 40 SCI-indexed papers and two monographs, and holds five national invention patents. Her achievements include four provincial science and technology awards, including a Second Prize of the Henan Provincial Science and Technology Progress Award as project leader. She serves as an Executive Member of the Computer Agriculture Application Branch of the Chinese Society of Agriculture and Secretary-General of the Smart Agriculture Committee of the Henan Society of Agriculture. She has also been a visiting scholar at USDA and Harper Adams University in the UK.
Wei Guo is a Professor at the College of Artificial Intelligence, Henan Agricultural University, China. She received her Ph.D. in Agricultural Remote Sensing Applications from Beijing Forestry University. Her research focuses on agricultural remote sensing and smart agriculture, especially remote sensing-based monitoring, diagnosis, and early warning of crop diseases. Her work integrates disease-induced spectral response mechanisms with ground spectroscopy, UAV and satellite remote sensing, multi-source data fusion, and artificial intelligence. Recent studies emphasize hyperspectral feature mining, UAV–satellite integration, lightweight deep learning, and spatiotemporal disease monitoring in peanut and wheat. She has led two projects funded by the National Natural Science Foundation of China and more than 15 provincial and ministerial projects, published over 40 SCI-indexed papers and two monographs, and holds five national invention patents. Her achievements include four provincial science and technology awards, including a Second Prize of the Henan Provincial Science and Technology Progress Award as project leader. She serves as an Executive Member of the Computer Agriculture Application Branch of the Chinese Society of Agriculture and Secretary-General of the Smart Agriculture Committee of the Henan Society of Agriculture. She has also been a visiting scholar at USDA and Harper Adams University in the UK.