Hao Jiang

DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

Jinfan Xu, Yue Zhu, Renhai Zhong et al. · Remote Sensing of Environment · 2020 · 241 citations

Cartography, Precision Agriculture, Machine Vision +13

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

Hao Jiang, Hao Hu, Renhai Zhong et al. · Global Change Biology · 2019 · 224 citations

Precision Agriculture, Engineering, Land Use +17

Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans

Chu Zhang, Hao Jiang, Fei Liu et al. · Food and Bioprocess Technology · 2016 · 100 citations

Near-infrared Hyperspectral Imaging, Coffee Beans, Engineering +9

DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

Tao Lin, Renhai Zhong, Yudi Wang et al. · Environmental Research Letters · 2020 · 72 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +21

Double cropping and cropland expansion boost grain production in Brazil

Jialu Xu, Jing Gao, Henrique Vinícius de Holanda et al. · Nature Food · 2021 · 72 citations

Land Use, Double Cropping, Agriculture +12