| Applications of deep learning in precision weed management: A review N Rai, Y Zhang, G Ram, B, L Schumacher, K Yellavajjala, R, S Bajwa, ... Computers and Electronics in Agriculture 206, 107698, 2023 | 130 | 2023 |
| Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology N Rai, Y Zhang, M Villamil, K Howatt, M Ostlie, X Sun Computers and Electronics in Agriculture 216, 108442, 2023 | 24 | 2023 |
| WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images N Rai, X Sun Computers and Electronics in Agriculture 216, 108792, 2024 | 18 | 2024 |
| Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review A Upadhyay, Y Zhang, C Koparan, N Rai, K Howatt, S Bajwa, X Sun Computers and Electronics in Agriculture 225, 109363, 2024 | 14 | 2024 |
| Multi-format open-source weed image dataset for real-time weed identification in precision agriculture N Rai, M Mahecha, A Christensen, J Quanbeck, Y Zhang, K Howatt, ... Data in Brief 51, 109691, 2023 | 11 | 2023 |
| Leveraging transfer learning in ArcGIS Pro to detect "doubles" in sunflower field N Rai, P Flores 2021 ASABE Annual International Meeting, 1-9, 2021 | 6 | 2021 |
| Spotweeds: A multiclass UASs-acquired weed image dataset to facilitate site-specific aerial spraying application using deep learning N Rai, Y Zhang, J Quanbeck, A Christensen, X Sun 15th International Conference on Precision Agriculture, 2022 | 4 | 2022 |
| Aerial-based weed detection using low-cost and lightweight deep learning models on an edge platform N Rai, X Sun, C Igathinathane, K Howatt, M Ostlie Journal of the ASABE 66 (5), 1041-1055, 2023 | 3 | 2023 |
| ImageWeeds: An image dataset consisting of weeds in multiple formats to advance computer vision algorithms for real-time weed identification and spot spraying application N Rai, M Mahecha, A Christensen, J Quanbeck, K Howatt, M Ostlie, ... Mendeley Data, 2023 | 2 | 2023 |
| Advances in weed identification using hyperspectral imaging: A comprehensive review of platform sensors and deep learning techniques B Mensah, N Rai, K Betitame, X Sun Journal of Agriculture and Food Research 18, 101388, 2024 | 1 | 2024 |
| A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics N Rai, H Pathak, M Mahecha, D Buckmaster, Y Huang, P Overby, X Sun Smart Agricultural Technology 9, 100698, 2024 | | 2024 |
| Weed identification on drone-captured images using edge device for spot spraying application N Rai North Dakota State University, 2023 | | 2023 |
Xin (Rex) SunAssociate Professor, Agriculture and Biosystems Engineering, NDSUGeverifieerd e-mailadres voor ndsu.edu