Modeling the global potential of smart farming innovations
全球5公里尺度评估五类智慧农业创新在农田的盈利性与扩散潜力。
数字农业与前沿技术
浏览数字农业与前沿技术相关政策、产业动态与研究。
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Agri-Synergy: A Hardware–Software Co-Designed Hybrid IoT System for Sensor Interface Standardization and LLM-Driven Interactive Decision Support
提出软硬件协同的混合物联网系统，统一传感器接口并用大模型提供交互式决策支持。
牛肉牛区域特征计算机视觉分析:基于 YOLO 与深度估计的牛体况自动评分
用YOLO检测与深度估计提取牛体区域特征，实现肉牛体况自动评分。
Machine Learning for Drought Analysis and Forecasting: A Critical Review of Data Fusion, Extreme-Event Sensitivity, Explainability and Generalization
综述55篇文献，比较机器学习干旱监测预报在定义、数据与验证上的差异。
PLANT-GPK v2.7: Spatial Heterogeneity and Predictive Digital Twin for Plant Phenotyping
将植物图像分3x3网格反演ODE参数，构建空间生理热图与预测数字孪生。
PLANT-GPK v4.0: Multi-Stage Plant Phenotyping with Time-Discovery and Harvest Prediction
扩展PLANT-GPK框架，从单张图像反演植物生理参数与隐藏时间维度，实现跨生育期表型分析与收获期预
Real-Time IoT-Integrated Ensemble LSTM–Bi-LSTM Framework for Greenhouse Microclimate Forecasting
提出物联网集成LSTM与Bi-LSTM加权集成框架，实时预测温室微气候。
International Research Journal of Modernization in Engineering Technology and Science·10月17日 · 周六49 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 1
AI SMART AGRO SYSTEM: A WEB-BASED AI-ASSISTED DECISION SUPPORT PLATFORM FOR FARMERS
构建一个面向农民的网页版AI决策支持平台，集成病害识别、选种、土壤、灌溉与天气建议。
A growing challenge: stakeholder perceptions of AI and ML applications in U.S. agriculture
通过问卷与访谈调查美国农业利益相关者对AI/ML应用的认知与障碍。
An entropy-guided dynamic lightweight network for identification of wild edible vegetables of BTR
提出熵引导动态轻量网络，用于识别BTR野生食用蔬菜。
A cross-domain review of artificial intelligence techniques for iot security, computer networks, image processing and smart agriculture in connected environments
综述AI在物联网安全、计算机网络、图像处理与智慧农业中的应用与局限。
Current applications of artificial intelligence for advancing agriculture, sustainability and climate mitigation
综述农业人工智能在精准灌溉、产量预测、病虫害监测等应用及落地挑战。
A Comprehensive Review on Multi-Modal Large Language Models and Agentic Architectures for Precision Agricultural Decision Support
综述多模态大模型与智能体架构在精准农业决策支持中的应用与不足。
A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition
比较联邦学习客户端级稳定化技术，提升植物病害识别的鲁棒性。
Lightweight Hybrid CNN-Transformer Network for Robust Maize Leaf Disease Detection and Edge Deployment
构建轻量MobileNetV3-Small框架实现玉米叶片病害分类并评估边缘部署。
Integration of IoT And Satellite Data for Real-Time Agricultural Crop Stress Monitoring Using Spatio-Temporal Transformers
融合IoT传感器与多时相卫星数据，用时空Transformer实现作物胁迫实时监测。
Real-Time UAV scheduling under hazardous weather conditions using an integrated fuzzy logic and machine learning framework
提出融合模糊逻辑与机器学习分类器的无人机实时调度框架，在恶劣天气下保障精准农业飞行安全。
MSFANet: a multi-scale feature aggregation network for tobacco pest recognition
提出MSFANet多尺度特征聚合网络，实现复杂田间背景下烟草害虫的自动识别。
FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection
提出频域自适应分割网络FDUNet-LRSA，用于甘薯病害自动巡检。
Predicting Wetland Nitrogen Levels Through Microbial Signatures: A Taxonomy-Based Approach Validated by Machine Learning
利用湿地微生物群落特征结合机器学习预测土壤总氮水平。