Soil moisture retrieval in well covered farmland by Radarsat-2 SAR data. - Jibo Yue; Guijun Yang; Xiudong Qi; Yanjie Wang (IGARSS, 2016)

Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models. - Jibo Yue; Guijun Yang; Changchun Li; Zhenhai Li; Yanjie Wang; Haikuan Feng; Bo Xu 017 (Remote. Sens., 2017)

A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera. - Jibo Yue; Haikuan Feng; Xiuliang Jin; Huanhuan Yuan; Zhenhai Li; Chengquan Zhou; Guijun Yang; Qingjiu Tian (Remote. Sens., 2018)

A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy. - Jibo Yue; Haikuan Feng; Guijun Yang; Zhenhai Li (Remote. Sens., 2018)

A dynamic soil endmember spectrum selection approach for soil and crop residue linear spectral unmixing analysis. - Jibo Yue; Qingjiu Tian; Shaofei Tang; Kaijian Xu; Chengquan Zhou (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study. - Jibo Yue; Qingjiu Tian; Xinyu Dong; Kaijian Xu; Chengquan Zhou (Remote. Sens., 2019)

Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform. - Chengquan Zhou; Hongbao Ye; Jun Hu; Xiaoyan Shi; Shan Hua; Jibo Yue; Zhifu Xu; Guijun Yang (Sensors, 2019)

Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning. - Jibo Yue; Qingjiu Tian (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Tree Species (Genera) Identification with GF-1 Time-Series in A Forested Landscape, Northeast China. - Kaijian Xu; Qingjiu Tian; Zhaoying Zhang; Jibo Yue; Chung-Te Chang (Remote. Sens., 2020)

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data. - Huilin Tao; Haikuan Feng; Liangji Xu; Mengke Miao; Huiling Long; Jibo Yue; Zhenhai Li; Guijun Yang; Xiaodong Yang; Lingling Fan (Sensors, 2020)

Vegetation-shadow indices based on differences in effect of atmospheric-path radiation between optical bands. - Jibo Yue; Jia Tian; Nianxu Xu; Qingjiu Tian (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier. - Chengquan Zhou; Guijun Yang; Dong Liang 011; Jun Hu; Hao Yang 009; Jibo Yue; Ruirui Yan; Liang Han; Linsheng Huang; Lijun Xu (Comput. Electron. Agric., 2021)

How Spatial Resolution Affects Forest Phenology and Tree-Species Classification Based on Satellite and Up-Scaled Time-Series Images. - Kaijian Xu; Zhaoying Zhang; Wanwan Yu; Ping Zhao; Jibo Yue; Yaping Deng; Jun Geng (Remote. Sens., 2021)

An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China. - Chengquan Zhou; Hongbao Ye; Dawei Sun; Jibo Yue; Guijun Yang; Jun Hu (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images. - Yang Liu 251; Haikuan Feng; Jibo Yue; Zhenhai Li; Guijun Yang; Xiaoyu Song; Xiaodong Yang; Yu Zhao (Comput. Electron. Agric., 2022)

Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs. - Yang Liu 251; Haikuan Feng; Jibo Yue; Yiguang Fan; Xiuliang Jin; Xiaoyu Song; Hao Yang 009; Guijun Yang (Remote. Sens., 2022)

Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression. - Yang Liu 251; Haikuan Feng; Jibo Yue; Yiguang Fan; Xiuliang Jin; Yu Zhao; Xiaoyu Song; Huiling Long; Guijun Yang (Remote. Sens., 2022)

Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery. - Yang Liu 251; Haikuan Feng; Jibo Yue; Zhenhai Li; Xiuliang Jin; Yiguang Fan; Zhihang Feng; Guijun Yang (Remote. Sens., 2022)

Estimating vertically growing crop above-ground biomass based on UAV remote sensing. - Jibo Yue; Hao Yang 009; Guijun Yang; Yuanyuan Fu; Han Wang; Chengquan Zhou (Comput. Electron. Agric., 2023)

Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods. - Yiguang Fan; Haikuan Feng; Jibo Yue; Yang Liu 251; Xiuliang Jin; Xingang Xu; Xiaoyu Song; Yanpeng Ma; Guijun Yang (Remote. Sens., 2023)

VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover. - Jibo Yue; Jia Tian; William Philpot; Qingjiu Tian; Haikuan Feng; Yuanyuan Fu (Comput. Electron. Agric., 2023)

Hyperspectral-to-image transform and CNN transfer learning enhancing soybean LCC estimation. - Jibo Yue; Hao Yang 009; Haikuan Feng; Shaoyu Han; Chengquan Zhou; Yuanyuan Fu; Wei Guo 029; Xinming Ma; Hongbo Qiao; Guijun Yang (Comput. Electron. Agric., 2023)

Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages. - Yiguang Fan; Haikuan Feng; Jibo Yue; Xiuliang Jin; Yang Liu 251; Riqiang Chen; Mingbo Bian; Yanpeng Ma; Xiaoyu Song; Guijun Yang (Comput. Electron. Agric., 2023)

Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements. - Yang Liu 251; Haikuan Feng; Jibo Yue; Yiguang Fan; Mingbo Bian; Yanpeng Ma; Xiuliang Jin; Xiaoyu Song; Guijun Yang (Comput. Electron. Agric., 2023)

Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images. - Lizhi Wang 007; Rui Gao; Changchun Li; Jian Wang; Yang Liu 251; Jingyu Hu; Bing Li; Hongbo Qiao; Haikuan Feng; Jibo Yue (Remote. Sens., 2023)

Improved potato AGB estimates based on UAV RGB and hyperspectral images. - Yang Liu 251; Haikuan Feng; Jibo Yue; Xiuliang Jin; Yiguang Fan; Riqiang Chen; Mingbo Bian; Yanpeng Ma; Xiaoyu Song; Guijun Yang (Comput. Electron. Agric., 2023)

Mapping cropland rice residue cover using a radiative transfer model and deep learning. - Jibo Yue; Qingjiu Tian; Yang Liu 251; Yuanyuan Fu; Jia Tian; Chengquan Zhou; Haikuan Feng; Guijun Yang (Comput. Electron. Agric., 2023)

A model suitable for estimating above-ground biomass of potatoes at different regional levels. - Yang Liu 251; Yiguang Fan; Jibo Yue; Xiuliang Jin; Yanpeng Ma; Riqiang Chen; Mingbo Bian; Guijun Yang; Haikuan Feng (Comput. Electron. Agric., 2024)

Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables. - Yiguang Fan; Yang Liu 251; Jibo Yue; Xiuliang Jin; Riqiang Chen; Mingbo Bian; Yanpeng Ma; Guijun Yang; Haikuan Feng (Comput. Electron. Agric., 2024)

Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery. - Yang Liu 251; Yiguang Fan; Haikuan Feng; Riqiang Chen; Mingbo Bian; Yanpeng Ma; Jibo Yue; Guijun Yang (Comput. Electron. Agric., 2024)

Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques. - Yang Liu 251; Haikuan Feng; Yiguang Fan; Jibo Yue; Riqiang Chen; Yanpeng Ma; Mingbo Bian; Guijun Yang (Comput. Electron. Agric., 2024)

Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data. - Yang Liu 251; Haikuan Feng; Jibo Yue; Xiuliang Jin; Yiguang Fan; Riqiang Chen; Mingbo Bian; Yanpeng Ma; Jingbo Li; Bo Xu 017; Guijun Yang (Comput. Electron. Agric., 2024)

Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes. - Yang Liu 251; Fuqin Yang; Jibo Yue; Wanxue Zhu; Yiguang Fan; Jiejie Fan; Yanpeng Ma; Mingbo Bian; Riqiang Chen; Guijun Yang; Haikuan Feng (Comput. Electron. Agric., 2024)

A novel vegetation-water resistant soil moisture index for remotely assessing soil surface moisture content under the low-moderate wheat cover. - Jibo Yue; Ting Li; Yang Liu 251; Jia Tian; Qingjiu Tian; Suju Li; Haikuan Feng; Wei Guo 029; Hao Yang 009; Guijun Yang; Hongbo Qiao (Comput. Electron. Agric., 2024)

Estimating crop leaf area index and chlorophyll content using a deep learning-based hyperspectral analysis method. - Jibo Yue; Jian Wang; Zhaoying Zhang; Changchun Li; Hao Yang 009; Haikuan Feng; Wei Guo 029 (Comput. Electron. Agric., 2024)

Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning. - Jibo Yue; Guijun Yang; Changchun Li; Yang Liu 251; Jian Wang; Wei Guo 029; Xinming Ma; Qinglin Niu; Hongbo Qiao; Haikuan Feng (Comput. Electron. Agric., 2024)

A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments. - Chunfeng Gao; Wei Guo 029; Chenghai Yang; Zheng Gong; Jibo Yue; Yuanyuan Fu; Haikuan Feng (Comput. Electron. Agric., 2024)

Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation. - Jingyu Hu; Hao Feng; Qilei Wang; Jianing Shen; Jian Wang; Yang Liu 251; Haikuan Feng; Hao Yang 009; Wei Guo 029; Hongbo Qiao; Qinglin Niu; Jibo Yue (Remote. Sens., 2024)

GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing. - Zhenyu Zhang; Yunfan Yang; Xin Xu; Liangliang Liu 001; Jibo Yue; Ruifeng Ding; Yanhui Lu; Jie Liu; Hongbo Qiao (Remote. Sens., 2024)

Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning. - Haikuan Feng; Yiguang Fan; Jibo Yue; Mingbo Bian; Yang Liu 251; Riqiang Chen; Yanpeng Ma; Jiejie Fan; Guijun Yang; Chunjiang Zhao 001 (Comput. Electron. Agric., 2025)

Integrating ecological niche and epidemiological models to predict wheat fusarium head blight using remote sensing and meteorological data. - Shangzhou Li; Ping Dong; Hui Zhang; Xin Xu; Lei Shi 028; Tong Sun; Hongbo Qiao; Jibo Yue; Wei Guo 029 (Comput. Electron. Agric., 2025)

Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield. - Yang Liu 251; Haikuan Feng; Yiguang Fan; Jibo Yue; Fuqin Yang; Jiejie Fan; Yanpeng Ma; Riqiang Chen; Mingbo Bian; Guijun Yang (Comput. Electron. Agric., 2025)