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
农业AI与大模型
人工智能算法、大模型与决策支持系统
技术筛选
642 篇内容
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。
Current breakthroughs in biomass and carbon modelling of rubber plantations: A bibliometric analysis and literature review
综述橡胶林生物量与碳建模研究进展，指出机器学习与深度学习精度最高但标准化和区域数据仍不足。
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。
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
Data Management in Agricultural Enterprises: A Framework for Data-Driven Decision Support
提出农业企业数据管理框架，实现数据从孤立采集到系统化决策支持。
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。
Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability
评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。
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。
Integrating Vegetation Health Indices and Machine Learning for Early Prediction of Agricultural Drought
基于多源遥感与机器学习构建尼日利亚萨赫勒地区农业干旱早期预测框架。
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。
A stocktake of opportunities and knowledge gaps in advancing digital agriculture in Quebec
系统盘点魁北克数字农业技术应用及其对可持续发展的贡献与知识空白。
Real-Time Detection and Yield Estimation of Rosa damascena Using YOLOv10-N: A Case Study in the Dades Oasis, Drâa-Tafilalet, Southeastern Morocco
用YOLOv10-N实时检测大马士革玫瑰并基于花数估算产量。
Designing a framework for Sustainable Smart Agriculture with Mobile Robots and CNN
提出移动机器人结合CNN识别花卉的智能园艺框架，测试准确率达95%。
中国移动以数智之力绘就秋日好'丰'景——河南开封兰考打造全国首个'万兆+全链条智慧农业'样板，亩均增产约220斤
9月23日人民政协网报道，中国移动以5G、物联网、AI与自主区块链技术助力秋收：河南开封兰考县打造全国首个'万兆+全链条智慧农业'样板，依托万兆光网与'万象耕耘'农业大模型，兰考高标准农田实现亩均粮食增产约220斤，节水、节肥、节药率均超过10%，农民亩均增收节支超过600元；广东梅州金柚园区5G物联网果园监测+智慧喷淋灌溉+水肥精准调控全链条上线；黑龙江佳木斯汤原县实施智慧农业示范工程，构建大米全链路可信溯源平台、农业数据中台与多模态AI大模型。