| Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery X Jin, S Liu, F Baret, M Hemerlé, A Comar Remote Sensing of Environment 198, 105-114, 2017 | 445 | 2017 |
| A review of data assimilation of remote sensing and crop models X Jin, L Kumar, Z Li, H Feng, X Xu, G Yang, J Wang European Journal of Agronomy 92, 141-152, 2018 | 441 | 2018 |
| Ear density estimation from high resolution RGB imagery using deep learning technique S Madec, X Jin, H Lu, B De Solan, S Liu, F Duyme, E Heritier, F Baret Agricultural and Forest Meteorology 264, 225-234, 2019 | 261 | 2019 |
| High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms X Jin, PJ Zarco-Tejada, U Schmidhaltere, MP Reynolds, MJ Hawkesford, ... IEEE Geoscience and Remote Sensing Magazine 9 (1), 200-231, 2021 | 194 | 2021 |
| Estimates of rice lodging using indices derived from UAV visible and thermal infrared images T Liu, R Li, X Zhong, M Jiang, X Jin, P Zhou, S Liu, C Sun, W Guo Agricultural and Forest Meteorology 252, 144-154, 2018 | 175 | 2018 |
| Integrated phenology and climate in rice yields prediction using machine learning methods Y Guo, Y Fu, F Hao, X Zhang, W Wu, X Jin, CR Bryant, J Senthilnath Ecological Indicators 120, 106935, 2020 | 173 | 2020 |
| Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression X Li, Y Zhang, Y Bao, J Luo, X Jin, X Xu, X Song, Guijun Yang Remote Sensing 6 (7), 6221-6241, 2014 | 160 | 2014 |
| A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera J Yue, H Feng, X Jin, H Yuan, Z Li, C Zhou, G Yang, Q Tian Remote Sensing 10 (7), 1138, 2018 | 155 | 2018 |
| Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data X Jin, G Yang, X Xu, H Yang, H Feng, Z Li, J Shen, Y Lan, C Zhao Remote Sensing 7 (10), 13251-13272, 2015 | 151 | 2015 |
| Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat MA Hassan, M Yang, A Rasheed, X Jin, X Xia, Y Xiao, Z He Remote Sensing 10 (6), 809, 2018 | 144 | 2018 |
| Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm X Jin, Z Li, G Yang, H Yang, H Feng, X Xu, J Wang, X Li, J Luo ISPRS Journal of Photogrammetry and Remote Sensing 126, 24-37, 2017 | 138 | 2017 |
| Effects of nitrogen stress on the photosynthetic CO2 assimilation, chlorophyll fluorescence, and sugar-nitrogen ratio in corn X Jin, G Yang, C Tan, C Zhao Scientific reports 5, 9311, 2015 | 118 | 2015 |
| Assessment of the AquaCrop Model for Use in Simulation of Irrigated Winter Wheat Canopy Cover, Biomass, and Grain Yield in the North China Plain X Jin, H Feng, X Zhu, Z Li, S Song, X Song, G Yang, X Xu, W Guo PLoS ONE 9 (1), e86938., 2014 | 114 | 2014 |
| Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index X Jin, Z Li, H Feng, Z Ren, S Li The Crop Journal 8 (1), 87-97, 2020 | 112 | 2020 |
| Estimation of Winter Wheat Biomass and Yield by Combining the AquaCrop Model and Field Hyperspectral Data XL Jin, L Kumar, ZH Li, XG Xu, GJ Yang, JH Wang remote sensing 8 (12), 1-15, 2016 | 112 | 2016 |
| Remote estimation of soil organic matter content in the Sanjiang Plain, Northest China: The optimal band algorithm versus the GRA-ANN model X Jin, J Du, H Liu, Z Wang, K Song Agricultural and Forest Meteorology 218, 250-260, 2016 | 105 | 2016 |
| A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data W Zhang, P Wan, T Wang, S Cai, Y Chen, X Jin, G Yan Remote Sensing 11 (2), 211, 2019 | 98 | 2019 |
| Estimation of wheat agronomic parameters using new spectral indices X Jin, W Diao, C Xiao, F Wang, B Chen, K Wang, S Li Plos one 8 (8), e72736, 2013 | 85 | 2013 |
| Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model X Jin, Z Li, H Feng, Z Ren, S Li Agricultural Water Management 227, 105846, 2020 | 74 | 2020 |
| Comparison of different satellite bands and vegetation indices for estimation of soil organic matter based on simulated spectral configuration X Jin, K Song, J Du, H Liu, Z Wen Agricultural and Forest Meteorology 244, 57-71, 2017 | 74 | 2017 |
Fred BaretINRA-EMMAH-CAPTE在 avignon.inra.fr 的电子邮件经过验证
