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This dataset contains soil spectral reflectance and associated physico-chemical and hydraulic properties of 130 soil samples collected from five provinces in Iran. The data were used to estimate key s
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<p>File 781601.txt contains soils data</p> <p>File 781602.002.txt contains reference calibration data</p> <p>The test took place in 1978.</p> <p>The suppor
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Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Vis...
Visible near-infrared imaging spectroscopy is capable of assessing spectral Soil constituents that are responsible for the organo-mineral interactions. In this study, we...
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CropAndWeedAndLeaf是由奥地利理工学院和维也纳应用技术大学联合创建的植物叶片分割数据集，旨在解决精准农业中叶片级分析的不足。该数据集包含345个样本，覆盖23种植物物种，每个样本均经过半自动化标注流程生成高质量的叶片级掩码。数据来源于真实农田环境中的CropAndWeed图像，通过模型辅助预标注与专家人工修正相结合的方式创建。该数据集主要用于评估深度学习模型在跨物种叶片分割任务中的
arXiv2026-05-05 更新190
2021年6月湖南省高桥蔬菜试验基地无人机遥感分类结果图
基于无人机获取的地物反射率数据，利用三维卷积神经网络（3D-CNN）方法，解译获取了基地蔬菜种类结果图，其中番茄分类精度达到96%。
国家对地观测科学数据中心2025-03-07 更新80
