基于多模态感知与专家反馈的农业决策优化方法及装置

By combining multimodal perception and expert feedback with environmental time-series data and crop image data, cross-modal fusion and reinforcement learning are performed to optimize agricultural decision-making models. This solves the problem that decision-making schemes in existing technologies are divorced from agricultural professional logic, and achieves higher decision-making accuracy and security.

CN122412475APending Publication Date: 2026-07-17BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
Filing Date
2026-06-17
Publication Date
2026-07-17

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Abstract

本发明提供一种基于多模态感知与专家反馈的农业决策优化方法及装置，涉及农业数据处理技术领域，包括：获取设施农业环境中的环境时序数据和作物图像数据；对所述环境时序数据和所述作物图像数据进行特征提取及跨模态融合，获得融合特征表示；将所述融合特征表示输入预设的决策模型，通过所述决策模型生成初步农业决策方案；通过专家交互界面，采集针对所述初步农业决策方案的反馈数据；其中，所述反馈数据包括参数修正数据和操作行为轨迹数据；基于所述反馈数据构建即时奖励值，并利用所述即时奖励值通过强化学习算法对所述决策模型进行参数更新。
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