Improving alfalfa nitrogen estimation with canopy structural priors from DSSAT–PROSAIL and UAV hyperspectral data
构建MALENet融合DSSAT-PROSAIL结构先验与无人机高光谱，提升苜蓿氮浓度估算精度。
数字农业与前沿技术
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基于无人机多光谱图像与VGG21模型的小麦渍害调控效果识别
用无人机多光谱图像和VGG21模型识别小麦渍害后硅肥与氨基酸调控效果。
雷添杰研究员团队《基于无人机多光谱图像和VGG21模型的小麦渍害调控效果识别》
用无人机多光谱图像和VGG21模型识别小麦渍害调控效果。
Proximal Remote Sensing of Oil Palm Basal Stem Rot Using Deep Learning Vision Algorithms and Ground-based Images
用手机拍摄油棕树干图像，结合深度学习检测与分类，实现基腐病严重度诊断。
Lightweight Blockchain Based Authentication and Secure Data Sharing in UAV Networks
提出轻量级联盟链认证与安全数据共享框架LBAS-UAV，用于资源受限无人机网络。
ASSESSING THE GEOECOLOGICAL IMPACT OF LARGE HYDRAULIC STRUCTURES IN ARID REGIONS USING REMOTE SENSING AND GIS TECHNOLOGIES (A CASE STUDY OF THE CENTRAL FERGANA RESERVOIR)
用遥感和GIS评估费尔干纳中部水库对周边农业景观的生态影响。
Hybrid deep ensemble learning for crop disease prediction and climate-resilient disaster management in smart agriculture
提出混合深度集成框架，融合CNN与LSTM并引入注意力机制，实现作物病害预测与气候韧性灾害管理。
An Interpretable Deep Learning Framework for Spatial Prediction of Soil Salinity Using Multi-Source Remote Sensing and Environmental Data: A Case Study of Cangzhou, Hebei Province, China
构建融合多源遥感与环境变量的可解释深度学习框架，预测沧州土壤盐分空间分布。
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
Integrating terrestrial and marine remote sensing indicators to estimate subnational economic output
提出融合陆地与海洋遥感指标的四代理框架，估算印尼东部次国家级GDP。
Seeing Crops in 3D: Remote Sensing for Smarter Precision Farming
提出融合物联网、厘米级GNSS、多光谱遥感和AI的精准农业框架，构建作物数字孪生。
PROSAIL-DNN-TL: A Hyperspectral Inversion Framework for Winter Wheat Leaf Chlorophyll Content Based on Fine-Tuned Transfer Learning
提出PROSAIL-DNN-TL框架，用PROSAIL模拟数据预训练DNN并全网络微调，反演冬小麦叶
Recent Developments in Smart Agriculture and Horticulture: A Critical Appraisal of Sensing, Robotics, Analytics and Controlled-Environment Production
综述智慧农业与园艺在传感、机器人、分析及可控环境生产方面的进展，并批判性评估其证据质量。
APPLICATION POTENTIAL OF UNMANNED AERIAL VEHICLES AND TRENDS IN THEIR DEVELOPMENT
综述无人机应用潜力与发展趋势，强调其向自主化、网络化、数据驱动系统演进。
Estimation of leaf nitrogen content of typical fruit trees in arid regions based on fusion of UAV multispectral information and texture features
Estimation of leaf nitrogen content of typical fruit trees in arid regions based on fusion of UAV multispectral information and texture features。Precision Agriculture
Supporting Digital Agriculture Through GeoAI : A Crop Type Dataset of Four Food Basket Crops in Rwanda
在卢旺达四区采集四种主粮作物的GPS标注地块数据集，支撑GeoAI作物监测。
Pixel-level high-throughput estimation of crop photosynthetic phenotyping parameters using a multi-task deep learning framework
提出像素级多任务深度学习框架，从高光谱数据高通量估算作物光合表型参数。
Land use and land cover change in the Okavango Delta, Botswana: integrating remote sensing and community perspectives on change drivers
结合遥感与社区调查，分析博茨瓦纳奥卡万戈三角洲1990-2023年土地利用变化及驱动因素。
IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT·9月28日 · 周一60 分 论文遥感与农情监测农业遥感与作物表型阅读 3
Integrating Earth Observation Data for Assessing the Impact of Mining Ponds on Land Use and Land Cover Change
用Landsat影像与问卷评估矿区池塘对土地利用变化及社会经济的影响。
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。