| Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging JCS Yufeng Ge, Geng Bai, Vincent Stoerger Computers and Electronics in Agriculture 127, 625-632, 2016 | 306 | 2016 |
| A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding G Bai, Y Ge, W Hussain, PS Baenziger, G Graef Computers and Electronics in Agriculture 128, 181-192, 2016 | 272 | 2016 |
| NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research G Bai, Y Ge, D Scoby, B Leavitt, V Stoerger, N Kirchgessner, S Irmak, ... Computers and Electronics in Agriculture 160, 71-81, 2019 | 113 | 2019 |
| 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 | 108 | 2022 |
| Field-Based Scoring of Soybean Iron Deficiency Chlorosis Using RGB Imaging and Statistical Learning G Bai, S Jenkins, W Yuan, GL Graef, Y Ge frontiers in plant science, 2018 | 70 | 2018 |
| Development and validation of a modified model to simulate the sprinkler water distribution Y Li, G Bai, H Yan Computers and Electronics in Agriculture 111, 38-47, 2015 | 51 | 2015 |
| Influence of droplet kinetic energy flux density from fixed spray-plate sprinklers on soil infiltration, runoff and sediment yield HJ Yan, G Bai, JQ He, G Lin Biosystems Engineering 110 (2), 213-221, 2011 | 51 | 2011 |
| Model of droplet dynamics and evaporation for sprinkler irrigation HJ Yan, G Bai, JQ He, YJ Li Biosystems engineering 106 (4), 440-447, 2010 | 50 | 2010 |
| Early prediction of soybean traits through color and texture features of canopy RGB imagery W Yuan, NK Wijewardane, S Jenkins, G Bai, Y Ge, GL Graef Scientific reports 9 (1), 14089, 2019 | 39 | 2019 |
| Rapid determination of cabbage quality using visible and near-infrared spectroscopy S Kramchote, K Nakano, S Kanlayanarat, S Ohashi, K Takizawa, G Bai LWT-Food Science and Technology 59 (2), 695-700, 2014 | 25 | 2014 |
| Characteristics and classification of Japanese nozzles based on relative spray drift potential G Bai, K Nakano, T Mizukami, S Miyahara, S Ohashi, Y Kubota, ... Crop protection 46, 88-93, 2013 | 19 | 2013 |
| Differences in soil water changes and canopy temperature under varying water× nitrogen sufficiency for maize TH Lo, DR Rudnick, KC DeJonge, G Bai, HN Nakabuye, A Katimbo, Y Ge, ... Irrigation Science 38, 519-534, 2020 | 17 | 2020 |
| Soil structure and texture effects on the precision of soil water content measurements with a capacitance-based electromagnetic sensor J Singh, DM Heeren, DR Rudnick, WE Woldt, G Bai, Y Ge, JD Luck Transactions of the ASABE 63 (1), 141-152, 2020 | 16 | 2020 |
| Characterizing wheat response to water limitation using multispectral and thermal imaging G Bai, S Blecha, Y Ge, H Walia, P Phansak Transactions of the ASABE 60 (5), 1457-1466, 2017 | 14 | 2017 |
| Inter-relationships between water depletion and temperature differential in row crop canopies in a sub-humid climate J Singh, Y Ge, DM Heeren, E Walter-Shea, CMU Neale, S Irmak, ... Agricultural Water Management 256, 107061, 2021 | 12 | 2021 |
| Toward accurate estimating of crop leaf stomatal conductance combining thermal IR imaging, weather variables, and machine learning L Zhao, L Wang, J Li, G Bai, Y Shi, Y Ge Autonomous air and ground sensing systems for agricultural optimization and …, 2021 | 8 | 2021 |
| A deep convolutional neural network based image processing framework for monitoring the growth of soybean crops NC AHM, KH Alkady, H Jin, F Bai, A Samal, Y Ge 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 8 | 2021 |
| Measuring Sprinkler Droplet Size with Modified Flour Methodology G Bai Transactions of the Chinese Society for Agricultural Machinery, 2011 | 8 | 2011 |
| Investigate the potential of UAS-based thermal infrared imagery for maize leaf area index estimation L Wang, J Li, L Zhao, B Zhao, G Bai, Y Ge, Y Shi Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2021 | 6 | 2021 |
| AICropCAM: Deploying classification, segmentation, detection, and counting deep-learning models for crop monitoring on the edge N Chamara, G Bai, Y Ge Computers and Electronics in Agriculture 215, 108420, 2023 | 5 | 2023 |
