Funder
National Key R&D Program of China
National Natural Science Foundation of China
Jiangsu Collaborative Innovation Center for Modern Crop Production
Ministry and Jiangsu Agricultural Science and Technology Innovation Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Cited by
24 articles.
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1. Joint Network Combining Dual-Attention Fusion Modality and Two Specific Modalities for Land Cover Classification Using Optical and SAR Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. An Investigation on Machine Learning Algorithms for Crop Yield Prediction;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17
3. Crop Yield Prediction Using Satellite Imagery;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02
4. Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data;Agricultural and Forest Meteorology;2023-11
5. Crop Recommendation Using Machine Learning;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01