| Whole-field reinforcement learning: A fully autonomous aerial scouting method for precision agriculture Z Zhang, J Boubin, C Stewart, S Khanal Sensors 20 (22), 6585, 2020 | 56 | 2020 |
| Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles Z Zhang, S Khanal, A Raudenbush, K Tilmon, C Stewart Computers and Electronics in Agriculture 193, 106682, 2022 | 44 | 2022 |
| Scalable distributed microservices for autonomous uav swarms KA Irizarry, Z Zhang, C Stewart, J Boubin Proceedings of the 23rd International Middleware Conference Demos and …, 2022 | 7 | 2022 |
| A reflection on ai model selection for digital agriculture image datasets S Ockerman, J Wu, C Stewart, Z Zhang 2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 | 6 | 2023 |
| Adaptive deployment for autonomous agricultural UAV swarms J Boubin, Z Zhang, J Chumley, C Stewart Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 6 | 2022 |
| Data-Parallel Versus Task-Parallel Swarms for Small Unmanned Aerial Systems J Boubin, Z Zhang, J Chumley, C Stewart 2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design …, 2022 | 1 | 2022 |
| Domain-Aware Model Training as a Service for Use-Inspired Models Z Zhang, C Stewart 2024 IEEE International Conference on Cloud Engineering (IC2E), 1-10, 2024 | | 2024 |
| Design of Unmanned Aerial Systems for Precision Agriculture using Machine Learning Techniques Z Zhang The Ohio State University, 2024 | | 2024 |
Christopher Charles StewartThe Ohio State UniversityVerified email at cse.ohio-state.edu