Designing a framework for Sustainable Smart Agriculture with Mobile Robots and CNN
提出移动机器人结合CNN识别花卉的智能园艺框架，测试准确率达95%。
农业AI与大模型
人工智能算法、大模型与决策支持系统
技术筛选 · 已选 1 项
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A Hybrid Model for Crop Yield Prediction Using Recurrent Neural Networks and Explainable Artificial Intelligence
用LSTM结合可解释AI预测肯尼亚玉米产量，兼顾精度与透明度。
Zenodo (CERN European Organization for Nuclear Research)·9月26日 · 周六62 分 论文农业AI与大模型数字乡村与农业信息化2 个信源同时报道 阅读 3
Artificial Intelligence Literacy as a Predictor of Readiness for Digital Agriculture among Agricultural Education Students in Colleges of Education in South-East Nigeria
研究尼日利亚东南部教育学院农教学生的人工智能素养对数字农业准备度的预测作用。
Beyond Precision Agriculture: AI and Data-driven Information Systems as Catalysts for Sustainable Agribusiness Transformation
综述指出农业数字化瓶颈已从技术转向数据治理与系统集成，呼吁研究重心转向互操作与组织设计。
IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT·9月25日 · 周五63 分 论文遥感与农情监测智慧农业 / 农业物联网阅读 8
Multi-Target Remote Sensing Segmentation with Cross-Scale Attention for Urban-Ecological Intelligence
评估UNet、SegNet和TransU-Net在多目标遥感语义分割中的性能，用于城市与生态监测。
AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030
综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability。Cureus Journal of Computer Science.
Asymmetric Vegetation Responses to Flood Exposure in the Chi River Basin: A Multi-Temporal Remote Sensing and Machine Learning Investigation
利用多时相遥感和机器学习揭示泰国湄公河支流流域植被对洪水的非对称响应。
Artificial Intelligence-Based Innovations for Environmental Management in Uganda: A Scoping Review of Current Innovations
综述乌干达环境管理中AI应用现状，发现应用集中于遥感与森林监测，整体零散且受基础设施制约。
Multi-scale attention-based feature learning for jujube fruit bruise detection and variety classification
提出MSA-TNet深度学习框架，实现红枣碰伤检测与品种分类。
A Resource-Efficient Hybrid CNN-LSTM Network for Image-Based Bean Leaf Disease Classification
提出轻量级CNN-LSTM混合网络，用于豆叶病害分类，兼顾高精度与低资源占用。
AI-Driven Agricultural Advisory and Diagnostic Systems for Smallholder Farming: Technical Architectures, Evidence and Deployment Priorities for North-East India
综述AI农业咨询与诊断系统，聚焦印度东北小农，提出人监督多模态部署架构。
WaterFormer-MS: A multi-stream deep learning framework for surface water segmentation from satellite imagery
提出多流深度学习框架WaterFormer-MS，从Sentinel-2影像中精准分割地表水体。
RootQuantV2: Adapting a Vision Foundation Model for Root-Trait Regression from Minirhizotron Imagery
用冻结DINOv3 ViT微调回归，从微根管图像直接预测根系长度和面积。
Closed-loop artificial intelligence agents for animal epidemic prediction and decision support in livestock farming: a review
综述闭环AI智能体用于畜禽疫病预测与决策支持，提出感知-决策-反馈架构。
ARTIFICIAL INTELLIGENCE FOR AGRICULTURE: A SYSTEMATIC REVIEW OF FARMERS' PERCEPTIONS, ACCEPTANCE, ADOPTION AND BARRIERS
系统综述农民对农业AI的感知、接受度、采纳意愿及障碍。
Smart agriculture using digital holography and artificial intelligence
利用数字全息与AI检测葡萄园空气中霜霉和白粉病菌孢子，优化杀菌剂施用。
Cotton leaf disease classification using deep learning models for smart agriculture
Cotton leaf disease classification using deep learning models for smart agriculture。Agriculture & Food Security
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三68 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 4
AI For Sustainable Development Opportunities & Innovation
综述AI在可持续发展各领域的机会与创新路径，并强调负责任AI的治理要求。
《Agentic Artificial Intelligence in Agriculture: A Systematic Mapping Review of Reported Architectures, Applications, Challenges, and Future Directions》
系统映射181项研究，梳理农业代理式AI的架构、应用、挑战与未来方向。