LLM-VimAGBNet: an end-to-end inference framework for rice above-ground biomass monitoring with large language model reasoning and frequency-division feature modeling
LLM-VimAGBNet: an end-to-end inference framework for rice above-ground biomass monitoring with large language model reasoning and frequency-division feature modeling。Computers and Electronics in Agriculture
关注点
该框架将大语言模型推理引入水稻地上生物量估算，并以频分特征建模处理多源信号；其效果依赖训练数据与田间条件，适用性需在真实稻区验证。
阅读 0