From Handcrafted Descriptors to Deep Embeddings: A Comparative Study for Regional Hazelnut Image Classification
比较手工特征、深度迁移学习和量子兼容分类器对三个地区榛子图像的分类性能。
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。
技术筛选
1353 篇内容
Non-linear spectral matching for asbestos detection in urban hyperspectral imagery using dynamic time warping
用动态时间规整（DTW）在高光谱城市影像中检测石棉，并与相关法对比。
Multi-Index Remote Sensing Assessment of Agro-Climatic Change and Agricultural Responses in Temperate and Semi-Arid Regions
用多时相遥感和九项指数对比英国诺丁汉郡与印度乌代浦2000—2024年农业气候脆弱性。
Multi-Source Remote Sensing Fusion and Deep Learning for Intelligent Precision Agriculture
综述多源遥感融合与深度学习在精准农业感知-决策-执行框架中的应用与趋势。
Hybrid transformer and CNN for hyperspectral image classification with spectral band selection
提出结合波段选择与ViT-CNN混合框架的高光谱图像分类方法，提升小样本分类精度。
Hybrid Deep Feature Extraction and Ensemble Machine Learning for Potato Leaf Disease Classification in Uncontrolled Field Conditions
融合三种CNN深度特征与集成学习，实现田间马铃薯叶片七类病害分类。
Next Generation NPK Slow Release Hydrogel Fertilizers: A Critical Review of Material Design, Performance, and Field Translation
综述缓释水凝胶肥料的设计、性能与田间转化瓶颈，提出目标产品画像。
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。
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。