A5067512214- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Water Quality Monitoring and Analysis
- Leaf Properties and Growth Measurement
- Soil Geostatistics and Mapping
- Greenhouse Technology and Climate Control
- Soil Moisture and Remote Sensing
- Advanced Computational Techniques and Applications
- Remote Sensing and LiDAR Applications
- Wireless Sensor Networks and IoT
- Advanced Algorithms and Applications
- Food Supply Chain Traceability
- Advanced Measurement and Detection Methods
- Soil Mechanics and Vehicle Dynamics
- Irrigation Practices and Water Management
- Advanced Sensor and Control Systems
- Water Quality Monitoring Technologies
- Industrial Vision Systems and Defect Detection
- Land Use and Ecosystem Services
- Geochemistry and Geologic Mapping
- Environmental and Agricultural Sciences
- Horticultural and Viticultural Research
- Advanced Chemical Sensor Technologies
China Agricultural University
2015-2024
Yantai Academy of Agricultural Sciences
2022-2024
Ministry of Agriculture and Rural Affairs
2019-2024
Ministry of Education of the People's Republic of China
2018-2019
Ministry of Agriculture and Agro Based Industry
2018
Washington State University
2012
Nanjing Agricultural University
2008
Tokyo University of Agriculture and Technology
1999-2000
Cold damage is one of the disasters that cause significant loss and irreversible in crop production. To avoid yield loss, high-throughput phenotyping can be used to select varieties with cold stress resistance. Nowadays, non-destructive spectral image analysis has become an effective way widely phenotyping, which reflects structural, physiological, biochemical characteristics traits plant structure composition, growth development processes outcomes. This study convolutional neural network...
Banana Fusarium wilt (BFW) is a devastating disease with no effective cure methods. Timely and detection of the evaluation its spreading trend will help farmers in making right decisions on plantation management. The main purpose this study was to find spectral features BFW-infected canopy build optimal BFW classification models for different stages infection. A RedEdge-MX camera mounted an unmanned aerial vehicle (UAV) used collect multispectral images banana infected July August 2020....
In order to improve the diagnosis accuracy of chlorophyll content in maize canopy, remote sensing image canopy with multiple growth stages was acquired by using an unmanned aerial vehicle (UAV) equipped a spectral camera. The dynamic influencing factors multispectral images were removed different segmentation methods. field diagnosed. crop reflectance, coverage, and texture information are combined discuss A full-grown diagnostic model created on basis Results showed that methods have...