INTEGRATING IoT, REMOTE SENSING, AND ARTIFICIAL INTELLIGENCE FOR SMART IRRIGATION: A REVIEW OF ARCHITECTURES, METHODS, AND CHALLENGES
综述物联网、遥感与人工智能融合的智能灌溉系统架构、方法与挑战。
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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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Robust and transparent crop-row detection from RGB field imagery for vision-based agricultural guidance systems
Robust and transparent crop-row detection from RGB field imagery for vision-based agricultural guidance systems。Precision Agriculture
DC-YOLO：应对遮挡与光照变化的湖羊行为检测模型
提出DC-YOLO模型，用于湖羊行为检测，解决遮挡与光照变化问题。
精准棉花病害管理：融合无人机影像与定制YOLO深度学习框架
提出轻量化检测器Cotton-Vision，用无人机影像精准识别棉花病害。
Multi-Crop Irrigation Need Classification Based on Machine Learning with an Indonesian-Language GenAI-UX Recommendation Layer
构建融合可解释机器学习与印尼语GenAI推荐层的智能灌溉决策支持系统。
Artificial Neural Network-Based Prediction and Mapping of Elephant Corridors in West Bengal Using Geospatial and Environmental Variables
用人工神经网络结合遥感与GIS变量预测并制图西孟加拉邦大象迁徙廊道。
Zenodo (CERN European Organization for Nuclear Research)·11月25日 · 周三73 分 论文水资源与灌溉智慧农业 / 农业物联网2 个信源同时报道 阅读 0
Real-World Impact: Transforming Agriculture with Technology A Multi-Stakeholder Review of Smart Monitoring, Precision Irrigation, and Digital Value-Chain Integration
综述六大农业数字技术集群对农场决策的变革及实际效益与采纳差异。
「人工智能+」对农业绿色全要素生产率的影响——来自电商平台农业智能化设备销售数据的证据 (The Impact of Artificial Intelligence Plus on Agricultural Green Total Factor Productivity: Evidence from E-Commerce Platform Sales Data of Intelligent Agricultural Equipment)
用电商平台农业智能设备销售数据，实证检验"人工智能+"对农业绿色全要素生产率的影响。
Artificial intelligence in food safety: a bibliometric and empirical synthesis of emerging technologies and research frontiers
对2021-2025年2782篇文献做文献计量，梳理AI与食品安全交叉研究趋势。
Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models
构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。
IMPLEMENTATION OF META-HEURISTIC OPTIMIZATION ALGORITHMS IN CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION AND CLASSIFICATION
综述元启发式算法嵌入CNN流程以优化目标检测与分类的研究进展。
LIGHTWEIGHT FEATURE FUSED ATTENTION DRIVEN MULTI LEVEL HYBRID MOBILENET V2 FRAMEWORK FOR EARLY TOMATO LEAF DISEASE DETECTION
提出轻量注意力多级混合MobileNet-V2框架，融合手工纹理与深度学习特征实现番茄叶片病害早期检
A Comprehensive Review of Deep Learning and Computer Vision Techniques for Fruit Quality Assessment and Classification
系统综述深度学习与计算机视觉在水果品质评估与分级中的全流程方法。
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。
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。