Wearable Sensors for Smart Agriculture: From Sensing Mechanisms to Crop Phenotyping and Harvesting Applications
综述柔性可穿戴传感器在智慧农业中的传感机制、作物表型监测与采收应用。
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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Explainable deep learning framework for real-time insect pest detection in smart agriculture
提出可解释深度学习框架CPSA-RIPD-CSTGCN，实现智慧农业中害虫实时检测。
Enhanced crop yield estimation in smart agriculture via AI and IoT using the GODL geo-optimized algorithm
提出GODL算法，融合地理空间信息与深度学习，结合AI和IoT提升作物产量预测精度。
Early Detection of Apple Scab in Orchards and Mildew in Vineyards Using A Novel Deep Learning Model and Multispectral Imagery
提出一种基于无人机多光谱时序影像的深度学习混合模型，实现苹果黑星病和葡萄霉病的早期检测与分割。
A study on the identification of wheat powdery mildew using chlorophyll fluorescence imaging
该研究利用叶绿素荧光成像与深度学习识别小麦白粉病并分级。
Comparative Deep Learning and RISE-Based Explainable AI Framework for Orange Fruit Disease Detection
比较三种深度学习模型检测橙子病害，并用RISE提升可解释性。
A Privacy-Preserving Federated Learning Framework for Paddy Leaf Disease Detection Using an Enhanced Pretrained Novel EfficientNet-Lite4 Model
提出联邦学习结合改进EfficientNet-Lite4的水稻叶片病害检测框架，兼顾隐私与精度。
JOURNAL OF BAKU ENGINEERING UNIVERSITY- MATHEMATICS AND COMPUTER SCIENCE·10月12日 · 周一72 分 论文水资源与灌溉智慧农业 / 农业物联网阅读 0
CROPINTEL DATASET: A COMPREHENSIVE AGROENVIRONMENTAL RESOURCE FOR CROP CLASSIFICATION, IRRIGATION PLANNING, AND YIELD ANALYSIS
基于CropIntel数据集，用15+种机器学习算法实现作物分类、灌溉需求预测与产量潜力预测。
Applications of Neutrosophic Topology in the Indian Context: A Review and Emerging Research Directions
综述中智拓扑在印度多领域的应用潜力，并指出理论与实证数据脱节的局限。
Adaptability of Lightweight AI Models for Embedded Deployment: A Case Study of an Agricultural Monitoring Robot
综述轻量化AI方法，并以农业监测机器人为例，提出相机+轻量YOLO+Jetson+单片机的嵌入式部署
3D modeling for crop applications in precision agriculture: a review
3D modeling for crop applications in precision agriculture: a review。Precision Agriculture
Steering smart farming technology adoption toward a safe and just operating space
首次将安全公正运营空间概念用于智慧农业政策设计，提出引导技术采纳的四步框架。
中国数字乡村建设与县域老年照护产业的耦合协调关系及区域差异研究
研究中国县域数字乡村建设与老年照护产业的耦合协调关系及区域差异。
Machine Learning-based Prediction of SVI Parameter in Maize: A Comparative Study and Feature Importance Analysis
用四种机器学习模型基于39个玉米基因型盐胁迫发芽数据预测幼苗活力指数SVI。
A Gateway-Based Approach for Integrating Digital Compass Data into Controller Area Network (CAN) in Precision Farming Systems
设计微控制器网关，将数字罗盘NMEA数据转换为CAN总线消息，用于精准农业自主平台。
Mapping groundwater potential zones using GIS, remote sensing and analytical hierarchy process (AHP) in Pader and Kitgum Districts, Uganda
用GIS、遥感和AHP制图评估乌干达两区地下水潜力并验证。
A global–local momentum contrastive framework with critical feature calibration for field plant disease identification in precision agriculture
提出GLC-Net，用全局-局部动量对比学习与关键特征校准提升田间植物病害识别。
Beyond site-specific archaeological prospection: Spectral-geometry reveals cross-site cropmark signals in satellite data
用Sentinel-2多光谱数据证明作物标记模型可跨遗址迁移，且迁移性由光谱几何相似性决定。
Study of Territories Using Geoinformatics and Remote Sensing Technologies: Spectral Band Combinations Based on Sentinel-2 Data (A Case Study of Parkent District)
基于Sentinel-2数据比较NIR-RED-GREEN与SWIR-NIR-GREEN波段组合，用
Spatiotemporal mapping of agricultural drought using geospatial approach in the East Bale Zone, Ethiopia
结合气象站与卫星植被热指数，绘制埃塞俄比亚East Bale区30年农业干旱时空图。