Work

LLM-VimAGBNet: an end-to-end inference framework for rice above-ground biomass monitoring with large language model reasoning and frequency-division feature modeling

Year: 2026

Type: article

Source: Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2026.112616

Authors: Miao Su, Shaoyang Luo, Yaze Yun, Bing Ding, Yan Zhao, Yan Zhu, Xia Yao, Weixing Cao, Dong Zhou

Institutions: Nanjing Agricultural University, Jiangsu Collaborative Innovation Center for Modern Crop Production

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: closed

Funders: Natural Science Foundation of Jiangsu Province, Key Technologies Research and Development Program

OpenAlex ID: W7225755094

FWCI:

Cites: 39

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Related to: 10