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。
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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。
Exploring the boundary conditions of AI-driven environmental value creation: evidence from China’s livestock sector
基于中国畜牧业上市公司数据，检验AI应用能否提升环境管理绩效及其边界条件。
Automated extraction of architectural traits from apple tree branches via 3D instance segmentation and skeletonisation
提出3D实例分割与骨架化框架，自动提取苹果树枝条表型性状。
Reliability Auditing and Capacity-Constrained Review for Wheat-Yield Decision Support under Temporal and Spatial Shift
Reliability Auditing and Capacity-Constrained Review for Wheat-Yield Decision Support under Temporal and Spatial Shift。Research Square
Machine Learning Prediction of Soil Nutrients and pH in Tibetan Alpine Croplands: A Comparison of Nine Algorithms
比较九种机器学习算法预测青藏高原高寒农田土壤养分与pH，发现集成算法最优。
PLANT FRUIT DISEASE SEVERITY ALERT NETWORK USING HYBRID DEEP LEARNING AND A RETRIEVAL-AUGMENTED GENERATION MODEL
提出PDANet网络，融合分割、联邦学习与RAG大模型，实现果实病害检测与严重度预警。
BEYOND PREDICTION: A RESEARCH AGENDA FOR ADVANCED AI IN AFRICAN SOIL INFORMATION SYSTEMS
提出非洲土壤信息系统应转向高级AI驱动的自适应土壤数字孪生，并给出十条研究路径。
Smart Agriculture with Machine Learning and Internet of Things Techniques: Literature Review and Bibliometric Analysis
综述机器学习与物联网在智慧农业中的应用并做文献计量分析。
Fine-Tuned Hybrid Deep Learning Framework for Plant Disease Classification Using MobileNetV2 and EfficientNetB0 Feature Fusion
融合MobileNetV2与EfficientNetB0特征并微调，实现植物病害高精度分类。