Patents
The FengDeng Patents collection highlights innovations in AI-driven agricultural research, covering crop breeding, gene function analysis, growth prediction, and intelligent scientific support. These patented technologies leverage advanced computational methods to improve research efficiency and accelerate sustainable crop development.
Systems, Methods, Media, and Products for Crop Gene Question-Answering
This patent proposes a domain knowledge-enhanced large model intelligent analysis method, improving the accuracy and efficiency of multi-source information integration and knowledge summarization in crop gene function research.
Patent Type: Invention Patent
Legal Status: Granted
Patent No.: ZL202610221738.3
Publication No. of Granted Patent: CN121722889B
Grant Date: April 24, 2026
Patent Holders: Shanghai Artificial Intelligence Innovation Center; Yazhou Bay National Laboratory
Laboratory Inventors: Dong Nanqing; Yang Fan; Jie Ying; Huanjun Kong; Tao Luo; Shikuan Wang
Methods for Training Encoder-Decoder Networks and Systems for Predicting Crop Growth Status
This patent proposes a crop growth status prediction method based on an intelligent model, enabling accurate prediction of crop growth processes and improving the accuracy of agricultural production management and growth analysis.
Patent Type: Invention Patent
Legal Status: Granted
Patent No.: ZL202511861234.X
Publication No. of Granted Patent: CN121280922B
Grant Date: March 17, 2026
Patent Holders: Shanghai Artificial Intelligence Innovation Center; Yazhou Bay National Laboratory
Laboratory Inventors: Dong Nanqing; Yang Fan; Qu Yichang; Li Xiaoying
A Method for Planning Crop Gene Function Research Protocols Based on Experimental Reasoning Chains
This patent proposes a crop gene function research protocol planning method based on experimental reasoning analysis, enabling intelligent recommendation and automated design of experimental protocols, thereby improving the efficiency of gene function research and the scientific rigor of research plans.
Patent Type: Invention Patent
Legal Status: Granted
Patent No.: ZL202511843231.3
Publication No. of Granted Patent: CN121278119B
Grant Date: February 27, 2026
Patent Holders: Yazhou Bay National Laboratory; Shanghai Artificial Intelligence Innovation Center
Laboratory Inventors: Dong Nanqing; Yang Fan
Systems, Methods, Computer-Readable Storage Media, and Computer Program Products for Crop Breeding Question-Answering
This patent proposes a crop breeding question-answering method based on an intelligent model, enabling rapid retrieval and accurate answering of crop breeding knowledge, and improving the efficiency of information acquisition in breeding research.
Patent Type: Invention Patent
Legal Status: Granted
Patent No.: ZL202510593035.9
Publication No. of Granted Patent: CN120104811B
Grant Date: August 8, 2025
Patent Holders: Shanghai Artificial Intelligence Innovation Center; Yazhou Bay National Laboratory
Laboratory Inventors: Dong Nanqing; Yang Fan