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。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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Functional photonic and optoelectronic materials and devices for climate-resilient smart agriculture: a review
综述光子与光电子材料器件结合物联网和机器学习，支撑气候韧性智慧农业的作物与土壤监测。
An agronomically informed framework for temporally transferable yield prediction
提出农学知情框架，结合最优物候期与密度产量制图，实现跨季节可迁移的产量预测。
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。
Approaches to forecast soil nutrient dynamics for precision agriculture and sustainable fertiliser management: A review
综述土壤养分动态预测的统计与机器学习方法，比较精度与局限。
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。
Bridging the in situ data gap: a satellite- and model-based framework for operational monitoring of marine harmful algal blooms and temperature-related threats in emerging economies
提出基于卫星与模型数据的海洋监测框架，弥补新兴经济体现场观测不足，监测有害藻华与热浪。
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。
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
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。
Detection of Red Crown Rot of Soybean in Illinois Fields Using High-Resolution Satellite Imagery and Machine Learning
利用高分辨率卫星影像和机器学习在大豆田中检测红冠腐病。
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。
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
A PCA-based deep feature optimization framework for explainable orange fruit disease classification
提出PCA深度特征优化框架，用ViT+SVM分类橙子病害，准确率达99.12%。
Brazilian Insect Survey: A Platform for Pest Management
巴西昆虫调查平台整合计算机视觉、田间试验与种群建模，实现害虫实时监测与治理。