BO-CNN-BiLSTM deep learning model integrating multisource remote sensing data for improving winter wheat yield estimation
Thus, the BCBL model combined with SIF data can offer reliable winter wheat yield estimates, hold significant potential for application, and provide valuable insights for agricultural policymaking and field management.
Authors
- Lei Zhang (ORCID: https://orcid.org/0000-0002-6385-5773)
- Xifang Wu
- Changchun Li (ORCID: https://orcid.org/0000-0002-7552-0196)
- Huabin Chai
- Yinghua Jiao
- Hengmao Xiang
Institutions
- Shandong Provincial Communications Planning and Design Institute (China) (CN)
- Henan Polytechnic University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fpls.2024.1500499
- Citations
- 21
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 9.64
Funders
- Henan Polytechnic University