| Wheat yellow rust detection using UAV-based hyperspectral technology A Guo, W Huang, Y Dong, H Ye, H Ma, B Liu, W Wu, Y Ren, C Ruan, ... Remote Sensing 13 (1), 123, 2021 | 118 | 2021 |
| Identification of wheat yellow rust using spectral and texture features of hyperspectral images A Guo, W Huang, H Ye, Y Dong, H Ma, Y Ren, C Ruan Remote Sensing 12 (9), 1419, 2020 | 81 | 2020 |
| Partial least square discriminant analysis based on normalized two-stage vegetation indices for mapping damage from rice diseases using PlanetScope datasets Y Shi, W Huang, H Ye, C Ruan, N Xing, Y Geng, Y Dong, D Peng Sensors 18 (6), 1901, 2018 | 61 | 2018 |
| Automatic system for crop pest and disease dynamic monitoring and early forecasting Y Dong, F Xu, L Liu, X Du, B Ren, A Guo, Y Geng, C Ruan, H Ye, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 54 | 2020 |
| Integrating growth and environmental parameters to discriminate powdery mildew and aphid of winter wheat using bi-temporal Landsat-8 imagery H Ma, W Huang, Y Jing, C Yang, L Han, Y Dong, H Ye, Y Shi, Q Zheng, ... Remote Sensing 11 (7), 846, 2019 | 46 | 2019 |
| Prediction of wheat stripe rust occurrence with time series sentinel-2 images C Ruan, Y Dong, W Huang, L Huang, H Ye, H Ma, A Guo, Y Ren Agriculture 11 (11), 1079, 2021 | 22 | 2021 |
| Detection of scab in wheat ears using in situ hyperspectral data and support vector machine optimized by genetic algorithm L Huang, H Zhang, C Ruan, W Huang, T Hu, J Zhao International Journal of Agricultural and Biological Engineering 13 (2), 182-188, 2020 | 22 | 2020 |
| Wheat powdery mildew monitoring based on GF-1 remote sensing image and relief-mRMR-GASVM model. LS Huang, C Ruan, WJ Huang, Y Shi, DL Peng, WJ Ding Transactions of the Chinese Society of Agricultural Engineering 34 (15), 167-175, 2018 | 14 | 2018 |
| Dynamic forecast of desert locust presence using machine learning with a multivariate time lag sliding window technique R Sun, W Huang, Y Dong, L Zhao, B Zhang, H Ma, Y Geng, C Ruan, ... Remote Sensing 14 (3), 747, 2022 | 11 | 2022 |
| Integrating remote sensing and meteorological data to predict wheat stripe rust C Ruan, Y Dong, W Huang, L Huang, H Ye, H Ma, A Guo, R Sun Remote sensing 14 (5), 1221, 2022 | 10 | 2022 |
| Coupled maize model: A 4D maize growth model based on growing degree days B Qian, W Huang, D Xie, H Ye, A Guo, Y Pan, Y Jin, Q Xie, Q Jiao, ... Computers and Electronics in Agriculture 212, 108124, 2023 | 5 | 2023 |
| Desert locust plague monitoring using time series satellite data Y Geng, Y Dong, L Zhao, W Huang, C Ruan, H Zhang, B Zhang International Journal of Precision Agricultural Aviation 3 (4), 2020 | 5 | 2020 |
| Development of new indices and use of CARS-Ridge algorithm for wheat fusarium head blight detection using in-situ hyperspectral data H Zhang, J Zhao, L Huang, W Huang, Y Dong, H Ma, C Ruan Biosystems Engineering 237, 13-25, 2024 | 1 | 2024 |
| Regional-Scale Monitoring of Wheat Stripe Rust Using Remote Sensing and Geographical Detectors M Zhao, Y Dong, W Huang, C Ruan, J Guo Remote Sensing 15 (18), 4631, 2023 | 1 | 2023 |
| A new spectral index for the quantitative identification of yellow rust using fungal spore information Y Ren, H Ye, W Huang, H Ma, A Guo, C Ruan, L Liu, B Qian Big Earth Data 5 (2), 201-216, 2021 | 1 | 2021 |
| A dual-branch neural network for crop disease recognition by integrating frequency domain and spatial domain information H Li, L Huang, C Ruan, W Huang, C Wang, J Zhao Computers and Electronics in Agriculture 219, 108843, 2024 | | 2024 |
| Crop Pest and Disease Remote Sensing Monitoring and Forecasting Y Dong, W Huang, Y Geng, L Liu, A Guo, C Ruan EDP Sciences, 2022 | | 2022 |
| Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. Remote Sens. 2021, 13, 123 A Guo, W Huang, Y Dong, H Ye, H Ma, B Liu, W Wu, Y Ren, C Ruan, ... s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | | 2021 |
