Zhang, Jiaying, Guan, Kaiyu, Chen, Zhangliang, Hipple, James, Huang, Yizhi, Peng, Bin, Wang, Sibo, Xu, Xiangtao, Jin, Zhenong, Zhao, Kejie, and Jong, Maxwell. Aligning satellite-based phenology in a deep learning model for improved crop yield estimates over large regions. Retrieved from https://par.nsf.gov/biblio/10616192. Agricultural and Forest Meteorology 372.C Web. doi:10.1016/j.agrformet.2025.110675.

Zhang, Jiaying, Guan, Kaiyu, Chen, Zhangliang, Hipple, James, Huang, Yizhi, Peng, Bin, Wang, Sibo, Xu, Xiangtao, Jin, Zhenong, Zhao, Kejie, & Jong, Maxwell. Aligning satellite-based phenology in a deep learning model for improved crop yield estimates over large regions. Agricultural and Forest Meteorology, 372 (C). Retrieved from https://par.nsf.gov/biblio/10616192. https://doi.org/10.1016/j.agrformet.2025.110675

Zhang, Jiaying, Guan, Kaiyu, Chen, Zhangliang, Hipple, James, Huang, Yizhi, Peng, Bin, Wang, Sibo, Xu, Xiangtao, Jin, Zhenong, Zhao, Kejie, and Jong, Maxwell. "Aligning satellite-based phenology in a deep learning model for improved crop yield estimates over large regions". Agricultural and Forest Meteorology 372 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.agrformet.2025.110675. https://par.nsf.gov/biblio/10616192.

@article{osti_10616192,
place = {Country unknown/Code not available}, title = {Aligning satellite-based phenology in a deep learning model for improved crop yield estimates over large regions}, url = {https://par.nsf.gov/biblio/10616192}, DOI = {10.1016/j.agrformet.2025.110675}, abstractNote = {}, journal = {Agricultural and Forest Meteorology}, volume = {372}, number = {C}, publisher = {Elsevier}, author = {Zhang, Jiaying and Guan, Kaiyu and Chen, Zhangliang and Hipple, James and Huang, Yizhi and Peng, Bin and Wang, Sibo and Xu, Xiangtao and Jin, Zhenong and Zhao, Kejie and Jong, Maxwell}, }