Parallel Seeds: From Foundation Models to Foundation Intelligence for Agricultural Sustainability
The development of agriculture faces significant challenges due to population growth, climate change, land depletion, and environmental pollution, threatening global food security [1]. This necessitates the development of sustainable agriculture, where a fundamental step is crop breeding to improve agronomic or economic traits, e.g., increasing yields of crops while decreasing resource usage and minimizing pollution to the environment [2].
Authors
- Danyang Wu (ORCID: https://orcid.org/0000-0002-0309-1409)
- Laiyi Fu (ORCID: https://orcid.org/0000-0001-9086-3982)
- Shunkang Ling (ORCID: https://orcid.org/0009-0000-8466-1583)
- Hequan Sun (ORCID: https://orcid.org/0000-0003-2046-2109)
- Feiyue Wang (ORCID: https://orcid.org/0000-0003-1996-6131)
- Mengzhen Kang (ORCID: https://orcid.org/0000-0002-5016-1772)
Institutions
- Chinese Academy of Sciences (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- IEEE/CAA Journal of Automatica Sinica
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1109/jas.2024.124914
- Citations
- 2
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- National Natural Science Foundation of China