Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring—2nd Edition
The integration of optical sensors and machine learning (ML) technologies has revolutionized agricultural monitoring, enabling precise, real-time insights into crop health, growth dynamics, and environmental interactions [...]
Authors
- Chengquan Zhou (ORCID: https://orcid.org/0000-0002-1894-8487)
- Haikuan Feng
- Jibo Yue
- Yanjun Yang
- Ning Zhang
Institutions
- Nanjing Agricultural University (CN)
- Agricultural Information Institute (CN)
- ZheJiang Academy of Agricultural Sciences (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- National Engineering Research Center for Information Technology in Agriculture (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- Agriculture
- Published
- 2026-01-21
- DOI
- https://doi.org/10.3390/agriculture16020271
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00