| Unmanned aerial vehicles for high-throughput phenotyping and agronomic research Y Shi, JA Thomasson, SC Murray, NA Pugh, WL Rooney, S Shafian, ... PloS one 11 (7), e0159781, 2016 | 476 | 2016 |
| Ag-IoT for crop and environment monitoring: Past, present, and future N Chamara, MD Islam, GF Bai, Y Shi, Y Ge Agricultural systems 203, 103497, 2022 | 276 | 2022 |
| Comparison of object detection and patch-based classification deep learning models on mid-to late-season weed detection in UAV imagery AN Veeranampalayam Sivakumar, J Li, S Scott, E Psota, A J. Jhala, ... Remote Sensing 12 (13), 2136, 2020 | 230 | 2020 |
| UAVs for vegetation monitoring: Overview and recent scientific contributions AI De Castro, Y Shi, JM Maja, JM Peña Remote Sensing 13 (11), 2139, 2021 | 163 | 2021 |
| Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development S Shafian, N Rajan, R Schnell, M Bagavathiannan, J Valasek, Y Shi, ... PloS one 13 (5), e0196605, 2018 | 155 | 2018 |
| Wheat height estimation using LiDAR in comparison to ultrasonic sensor and UAS W Yuan, J Li, M Bhatta, Y Shi, PS Baenziger, Y Ge Sensors 18 (11), 3731, 2018 | 153 | 2018 |
| Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor J Lu, R Ehsani, Y Shi, AI de Castro, S Wang Scientific reports 8 (1), 2793, 2018 | 148 | 2018 |
| Elucidating sorghum biomass, nitrogen and chlorophyll contents with spectral and morphological traits derived from unmanned aircraft system J Li, Y Shi, AN Veeranampalayam-Sivakumar, DP Schachtman Frontiers in plant science 9, 1406, 2018 | 127 | 2018 |
| Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery Y Pang, Y Shi, S Gao, F Jiang, AN Veeranampalayam-Sivakumar, ... Computers and Electronics in Agriculture 178, 105766, 2020 | 122 | 2020 |
| Distribution characteristics on droplet deposition of wind field vortex formed by multi-rotor UAV S Guo, J Li, W Yao, Y Zhan, Y Li, Y Shi PloS one 14 (7), e0220024, 2019 | 108 | 2019 |
| Field detection of anthracnose crown rot in strawberry using spectroscopy technology J Lu, R Ehsani, Y Shi, J Abdulridha, AI de Castro, Y Xu computers and electronics in agriculture 135, 289-299, 2017 | 98 | 2017 |
| Rapeseed seedling stand counting and seeding performance evaluation at two early growth stages based on unmanned aerial vehicle imagery B Zhao, J Zhang, C Yang, G Zhou, Y Ding, Y Shi, D Zhang, J Xie, Q Liao Frontiers in Plant Science 9, 1362, 2018 | 97 | 2018 |
| Vertical distribution and vortex structure of rotor wind field under the influence of rice canopy J Li, Y Shi, Y Lan, S Guo Computers and Electronics in Agriculture 159, 140-146, 2019 | 78 | 2019 |
| Damage mapping of powdery mildew in winter wheat with high-resolution satellite image L Yuan, J Zhang, Y Shi, C Nie, L Wei, J Wang Remote sensing 6 (5), 3611-3623, 2014 | 78 | 2014 |
| Research progress on airflow characteristics and field pesticide application system of rotary-wing UAV. LJY Li JiYu, LYB Lan YuBin, SYY Shi YeYin | 76 | 2018 |
| A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments W Xu, T Xu, JA Thomasson, W Chen, R Karthikeyan, G Tian, Y Shi, C Ji, ... Computers and Electronics in Agriculture 211, 107961, 2023 | 71 | 2023 |
| Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management A Katimbo, DR Rudnick, J Zhang, Y Ge, KC DeJonge, TE Franz, Y Shi, ... Smart Agricultural Technology 4, 100176, 2023 | 60 | 2023 |
| Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery J Li, AN Veeranampalayam-Sivakumar, M Bhatta, ND Garst, H Stoll, ... Plant Methods 15 (1), 123, 2019 | 57 | 2019 |
| Global greenhouse gas emissions from agriculture: Pathways to sustainable reductions L Li, T Awada, Y Shi, VL Jin, M Kaiser Global Change Biology 31 (1), e70015, 2025 | 56 | 2025 |
| Improvement of a ground-LiDAR-based corn plant population and spacing measurement system Y Shi, N Wang, RK Taylor, WR Raun Computers and Electronics in Agriculture 112, 92-101, 2015 | 54 | 2015 |
