Nanobubble-Driven Precision Aeration: Deciphering Abiotic Hypoxia Responses via Multi-Omics for Next-Generation Smart Agriculture
综述纳米气泡灌溉缓解盐旱根区缺氧的机制，并展望多组学与智能农业应用。
← 主题
土壤盐渍化 智慧农业
Mapping Soil Salinity in Arid Agricultural Regions Using Multi-Source Remote Sensing and a Long-Range Dependency-Enhanced Deep Learning Framework
提出LRD-Net深度学习框架，融合多源遥感与环境协变量，估算新疆干旱绿洲区土壤盐分。
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。
UAV无人机高光谱图像土壤盐度制图(湿度校正)——MDPI Agronomy
用无人机高光谱结合Stacking集成模型实现湿度干扰下的土壤盐度制图。
Soil Salinity Mapping from UAV-Borne Hyperspectral Imagery with Soil Moisture Correction
用无人机高光谱结合水分校正与Stacking集成模型反演土壤盐分。
Zenodo (CERN European Organization for Nuclear Research)·9月11日 · 周五65 分 论文遥感与农情监测农业遥感与作物表型2 个信源同时报道 阅读 1
ASSESSMENT OF SOIL SALINITY USING THE NDVI VEGETATION INDEX BASED ON REMOTE SENSING DATA
利用Sentinel-2遥感数据计算NDVI，评估灌溉草甸灰钙土的土壤盐渍化程度。