| Influence of image quality and light consistency on the performance of convolutional neural networks for weed mapping C Hu, BB Sapkota, JA Thomasson, MV Bagavathiannan Remote Sensing 13 (11), 2140, 2021 | 34 | 2021 |
| Detection of Italian ryegrass in wheat and prediction of competitive interactions using remote-sensing and machine-learning techniques B Sapkota, V Singh, C Neely, N Rajan, M Bagavathiannan Remote Sensing 12 (18), 2977, 2020 | 28 | 2020 |
| Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton BB Sapkota, S Popescu, N Rajan, RG Leon, C Reberg-Horton, S Mirsky, ... Scientific Reports 12 (1), 19580, 2022 | 27 | 2022 |
| Mapping and estimating weeds in cotton using unmanned aerial systems-borne imagery B Sapkota, V Singh, D Cope, J Valasek, M Bagavathiannan AgriEngineering 2 (2), 24, 2020 | 23 | 2020 |
| Evaluating cross-applicability of weed detection models across different crops in similar production environments BB Sapkota, C Hu, MV Bagavathiannan Frontiers in Plant Science 13, 837726, 2022 | 17 | 2022 |
| Seed rain potential in late-season weed escapes can be estimated using remote sensing M Kutugata, C Hu, B Sapkota, M Bagavathiannan Weed Science 69 (6), 653-659, 2021 | 9 | 2021 |
| Automated mapping of rice fields using multi-year training sample normalization L Liang, BRK Runkle, BB Sapkota, ML Reba International Journal of Remote Sensing 40 (18), 7252-7271, 2019 | 9 | 2019 |
| A multistep approach to classify full canopy and leafless trees in bottomland hardwoods using very high-resolution imagery BB Sapkota, L Liang Journal of Sustainable Forestry 37 (4), 339-356, 2018 | 8 | 2018 |
| High-resolution mapping of ash (Fraxinus spp.) in bottomland hardwoods to slow emerald ash borer infestation BB Sapkota, L Liang Science of Remote Sensing 1, 100004, 2020 | 6 | 2020 |
| Image Classification of Herbicide Symptomology in Cotton Using Deep Learning U Torres, J Johnson, B Sapkota, S Nolte, M Bagavathiannan Weed Science Society of America Annual Meeting, 2024 | | 2024 |
| Site-Specific Treatment of Weed Escapes in Cotton Using a Remotely Piloted Aerial Application System U Torres, D Martin, B Gurjar, B Sapkota, M Kutugata, MV Bagavathiannan Weed Science Society of America Annual Meeting, 2024 | | 2024 |
| Developing a Near Real-time Weed Detection and Site-specific Drone Spray Module S Roy, U Torres, B Gurjar, N Singh, A Kadakia, BB Sapkota, M Wnorowski, ... Weed Science Society of America Annual Meeting, 2024 | | 2024 |
| UAS-Based Detection and Site-Specific Treatment of Green Kyllinga in Turf U Torres, D Martin, B Gurjar, B Sapkota, A Osburn, CM Straw, ... ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Detection of Late-Season Waterhemp Escapes in Cotton and Site-Specific Treatment Using a Remotely Piloted Aerial Application System U Torres, D Martin, B Sapkota, B Gurjar, M Kutugata, S Nolte, ... ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Automating the Detection and Site-Specific Treatment of Late-Season Weed Escapes in Rice Using an Unmanned Aerial Application System B Gurjar, B Sapkota, U Torres, I Ceperkovic, M Kutugata, V Kumar, ... ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Deep Learning-Based Classification of Herbicide Symptomology in Cotton U Torres, J Johnson, B Sapkota, S Nolte, MV Bagavathiannan ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Using an RTK-GPS Guided Remotely Piloted Aerial Application System for Site-Specific Treatment of Late-Season Weed Escapes U Torres, D Martin, B Sapkota, B Gurjar, M Kutugata, M Bagavathiannan ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Identification and Site-Specific Treatment of Late-Season Weed Escapes in Rice Using an Unmanned Aerial System B Gurjar, B Sapkota, I Ceperkovic, U Torres, M Kutugata, Z Xin-Gen, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Using Geospatial and Computer Vision Techniques for Weed Detection and Mapping in Agricultural Systems BB Sapkota | | 2022 |
| Evaluating Cross-Applicability of Weed Detection Models in Different Crop-Weed Environments B Sapkota, C Hu, SC Reberg-Horton, SB Mirsky, MV Bagavathiannan ASA, CSSA, SSSA International Annual Meeting, 2021 | | 2021 |
Muthukumar BagavathiannanTexas A&M University, College Station, TX, USA在 tamu.edu 的电子邮件经过验证
