Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三75 分 论文薯类与杂粮农业人工智能与决策模型2 个信源同时报道 阅读 3
Lightweight Edge-AI Model for Real-Time Sorghum Disease Detection on Resource-Constrained Mobile Devices
开发轻量级边缘AI模型，在资源受限移动设备上实时检测高粱病害。
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International Journal of Emerging Technologies and Innovative Research·9月30日 · 周三56 分 论文薯类与杂粮农业人工智能与决策模型4 个信源同时报道 阅读 3
An Integrated Computer Vision and Machine Learning Framework for Sorghum Disease Severity Assessment and Yield Prediction
融合计算机视觉与机器学习，实现高粱病害严重度评估与产量预测。
Trustworthy agricultural autonomy integrates robot learning safe control and human robot interaction
综述可信农业自主性，从机器人学习、安全控制与人机交互三支柱探讨技术进展与挑战。
A Situational Awareness-Driven Human-Machine Interface Framework for Enhancing Operators’ Performance in Agricultural Robotic Teleoperation
提出基于态势感知理论的农机遥操作人机界面框架，提升非专业操作者表现。
Leveraging on Artificial Intelligence Technology in Boosting Cassava Production in Nigeria: The Gains and Constraints
分析AI在尼日利亚木薯生产中的应用收益与制约因素。
F.A.R.M. (Field Analysis Revenue Management): An IoT and ML Integrated Solution
提出F.A.R.M.系统，用IoT传感与机器学习实现作物推荐、价格预测和产量估算。
International Journal of Pattern Recognition and Artificial Intelligence·9月30日 · 周三76 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 1
InResKolArno_SCO: An Efficient Plant Disease Classification Framework for IoT-Enabled Smart Agriculture
提出InResKolArno_SCO混合框架，用于物联网智慧农业中的植物病害分类。
Smart Human-centered Emerging Research in Machine Intelligence·9月30日 · 周三64 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
A Human-Centered Machine Learning Dashboard for Real-Time Smart Farming Decision Support
提出以人为中心的机器学习仪表盘，融合物联网与预测模型，为农户提供实时可解释的决策支持。
Machine learning classification techniques for smart agriculture: a review of disease detection and crop recommendation
综述2023-2026年30篇文献，评估物联网与机器学习在作物病害检测和推荐中的应用。
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture。Wireless Networks
A Knowledge‐Augmented Wearable System for Interpretable Plant Health Monitoring
提出知识增强可穿戴系统K-Wear，将植物传感信号转化为可解释诊断与建议。
Lecture 1: Quantum Computing Applied to Animal Nutrition and Agriculture: Emerging Opportunities and Practical Perspectives.
探讨量子计算在动物营养与农业中的应用前景，重点分析混合量子-经典方法解决组合优化等难题的潜力。
TOE Drivers and Farm Performance: The Mediating Role of AI Adoption in Omani Hydroponics—An Exploratory Sequential Mixed-Methods Study
基于TOE框架，用混合方法研究阿曼水培农场AI采纳的驱动因素及对绩效的中介作用。
Multi-Scale Texture-Attention Network for Automated Arecanut Disease Classification Using Explainable Deep Learning
提出MSTANet多尺度纹理注意力网络，实现槟榔九类病害自动分类。
AI-Enabled Digital Connectivity and Agricultural Productivity in Remote Rural Saudi Arabia Under Vision 2030: Evidence from ARDL and NARDL
用ARDL和NARDL分析沙特2000-2025年数字连接与农业生产力关系，发现长期正向但存在不对称
Raspberry Pi Lightweight Deep Learning Models Deployed for Corn Growth Stage Classification Using PhenoCam Images
用PhenoCam图像训练轻量深度学习模型，在树莓派上实时分类玉米8个生长阶段。
A remote sensing image processing method based on edge computing and deep learning
提出边缘计算与深度学习结合的遥感图像分类方法，用改进3D CNN实现低延迟高精度土地覆盖识别。
Towards accessible smallholder crop classification in the groundnut basin of Senegal
评估地理空间基础模型嵌入在塞内加尔花生盆地小农作物分类中的性能、时序迁移性和可及性。
Hybrid Rule-Based and Machine Learning Decision-Support Framework for Smart Paddy Farming
提出规则与机器学习混合的水稻决策支持框架，提升决策精度并节水增产。
Space–Air–Ground Integrated Networks for Smart Agriculture and Smart Breeding: A Review of SDN/NFV-Enabled Intelligent Resource Management
综述SDN/NFV赋能的空天地一体化网络智能资源管理，并关联智慧农业与智慧育种。