Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems
提出分层跨模态时空注意力网络HCM-STAN，融合多源农业数据预测喜马拉雅山区苹果产量。
园艺作物
浏览园艺作物相关政策、产业动态与研究。
技术筛选 · 已选 1 项
15 篇内容清除全部筛选
Seasonal compatibility of RGB and multispectral vegetation indices in Amazon Cacao
评估RGB与多光谱植被指数在亚马逊可可园的季节性兼容性，以低成本监测替代多光谱传感器。
Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
用无人机RGB影像和深度学习对咖啡开花分级，实现早期产量预测。
Modeling the productive potential of coffee trees in the Cerrado of Minas Gerais through hierarchical landscape analysis and remote sensing data
基于景观指标与NDVI构建模型，对巴西塞拉多咖啡树生产潜力进行分级分类。
Comparison of NDVI obtained from an active proximal sensor and UAV multispectral imagery in coffee
Comparison of NDVI obtained from an active proximal sensor and UAV multispectral imagery in coffee。Research Square
Analysis of drought carry-over effect on apple trees using the Leafiness-LiDAR index
用LiDAR叶量指数追踪苹果园干旱遗留效应与冠层恢复。
农机化研究2026(11)：基于多源感知与语义分割的果树行识别与路径跟踪控制——郑州工业应用技术学院许洋洋等 DeepLabv3+ F1达0.94
提出融合无人机多光谱与语义分割的果树行识别与路径跟踪方法，实现植保机自主导航。
Lightweight nighttime citrus fruit detection in UAV imagery using an enhanced NightNet
提出增强NightNet实现无人机夜间柑橘果实轻量检测。
Plastic Greenhouse Extraction Based on Index-Guided Three-Stage Large-Factor Remote Sensing Image Super-Resolution Reconstruction
提出APGI引导的三阶段12倍超分框架，从Sentinel-2影像重建塑料大棚结构并提升提取精度。
Identifying the influencing factors of lake surface greenhouse gas concentrations using sentinel-2 remote sensing and machine learning: A case study of bird Island, Qinghai Lake
利用Sentinel-2遥感与机器学习识别青海湖鸟岛湖面温室气体浓度的影响因素。
AI Drones Unlock Hidden Avocado & Hazelnut Secrets（Information Processing in Agriculture）
开发基于AI的无人机系统，用无监督算法从航拍图像估算果树高度和冠层体积。
Continual Learning Model Evaluation for Hyperspectral-Based Tomato Bacterial Spot Detection in Greenhouse
评估持续学习框架用于温室高光谱番茄细菌性斑点病冠层检测。
基于无人机多源遥感特征的茶树生长与氮素状况深度学习监测
融合无人机多源遥感特征与深度学习，高精度估算茶树生物量与氮素积累量。
Accurate diagnosis of soil moisture and canopy water content in citrus orchards based on synergistic multi-source remote sensing
融合多源遥感数据改进水云模型，实现柑橘园土壤水分和冠层含水量高精度反演。
International Journal of Environmental and Agriculture Research·8月31日 · 周一74 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
Remote Sensing and Machine Learning for Futuristic Horticulture: A Comprehensive Review
综述遥感与机器学习在印度园艺作物精准管理中的应用，涵盖原理、方法、案例与挑战。