| A review on plant high-throughput phenotyping traits using UAV-based sensors C Xie, C Yang Computers and Electronics in Agriculture 178, 105731, 2020 | 216 | 2020 |
| Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities C Xie, C Yang, Y He Computers and electronics in agriculture 135, 154-162, 2017 | 134 | 2017 |
| Automatic evaluation of wheat resistance to fusarium head blight using dual mask-RCNN deep learning frameworks in computer vision WH Su, J Zhang, C Yang, R Page, T Szinyei, CD Hirsch, BJ Steffenson Remote sensing 13 (1), 26, 2020 | 106 | 2020 |
| Detection of fusarium head blight in wheat using a deep neural network and color imaging R Qiu, C Yang, A Moghimi, M Zhang, BJ Steffenson, CD Hirsch Remote Sensing 11 (22), 2658, 2019 | 103 | 2019 |
| Diagnosis of plant cold damage based on hyperspectral imaging and convolutional neural network W Yang, C Yang, Z Hao, C Xie, M Li Ieee Access 7, 118239-118248, 2019 | 92 | 2019 |
| Hyperspectral band selection for detecting different blueberry fruit maturity stages C Yang, WS Lee, P Gader Computers and Electronics in Agriculture 109, 23-31, 2014 | 88 | 2014 |
| Ensemble feature selection for plant phenotyping: a journey from hyperspectral to multispectral imaging A Moghimi, C Yang, PM Marchetto IEEE Access 6, 56870-56884, 2018 | 85 | 2018 |
| Estimation of corn yield based on hyperspectral imagery and convolutional neural network W Yang, T Nigon, Z Hao, GD Paiao, FG Fernández, D Mulla, C Yang Computers and Electronics in Agriculture 184, 106092, 2021 | 81 | 2021 |
| Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat A Moghimi, C Yang, JA Anderson Computers and Electronics in Agriculture 172, 105299, 2020 | 78 | 2020 |
| A novel approach to assess salt stress tolerance in wheat using hyperspectral imaging A Moghimi, C Yang, ME Miller, SF Kianian, PM Marchetto Frontiers in plant science 9, 365085, 2018 | 78 | 2018 |
| Classification of blueberry fruit and leaves based on spectral signatures C Yang, WS Lee, JG Williamson Biosystems engineering 113 (4), 351-362, 2012 | 77 | 2012 |
| Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening WH Su, C Yang, Y Dong, R Johnson, R Page, T Szinyei, CD Hirsch, ... Food Chemistry 343, 128507, 2021 | 47 | 2021 |
| Acoustic features of vocalization signal in poultry health monitoring A Mahdavian, S Minaei, PM Marchetto, F Almasganj, S Rahimi, C Yang Applied Acoustics 175, 107756, 2021 | 34 | 2021 |
| Prediction of early season nitrogen uptake in maize using high-resolution aerial hyperspectral imagery TJ Nigon, C Yang, G Dias Paiao, DJ Mulla, JF Knight, FG Fernández Remote sensing 12 (8), 1234, 2020 | 34 | 2020 |
| Proximal hyperspectral sensing of abiotic stresses in plants A Sanaeifar, C Yang, M de la Guardia, W Zhang, X Li, Y He Science of The Total Environment 861, 160652, 2023 | 28 | 2023 |
| Salicylic acid is required for broad-spectrum disease resistance in rice B Liang, H Wang, C Yang, L Wang, L Qi, Z Guo, X Chen International Journal of Molecular Sciences 23 (3), 1354, 2022 | 26 | 2022 |
| Wheat spike detection and counting in the field based on SpikeRetinaNet C Wen, J Wu, H Chen, H Su, X Chen, Z Li, C Yang Frontiers in Plant Science 13, 821717, 2022 | 25 | 2022 |
| Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls A Mahdavian, S Minaei, C Yang, F Almasganj, S Rahimi, PM Marchetto Computers and electronics in agriculture 168, 105100, 2020 | 25 | 2020 |
| Advancing precision agriculture: The potential of deep learning for cereal plant head detection A Sanaeifar, ML Guindo, A Bakhshipour, H Fazayeli, X Li, C Yang Computers and Electronics in Agriculture 209, 107875, 2023 | 23 | 2023 |
| Computing uncertainty in the optimum nitrogen rate using a generalized cost function TJ Nigon, C Yang, DJ Mulla, DE Kaiser Computers and electronics in agriculture 167, 105030, 2019 | 19 | 2019 |
