| Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter N Niknejad, R Bidese-Puhl, Y Bao, KG Payn, J Zheng Computers and Electronics in Agriculture 211, 107999, 2023 | 16 | 2023 |
| Ultra-wideband joint spatial coding for secure communication and high-resolution imaging H Aggrawal, R Puhl, C Studer, A Babakhani IEEE Transactions on Microwave Theory and Techniques 65 (7), 2525-2535, 2017 | 12 | 2017 |
| Ultra-wideband pulse-based directional modulation H Aggrawal, R Puhl, A Babakhani 2015 IEEE MTT-S International Microwave and RF Conference (IMaRC), 292-295, 2015 | 8 | 2015 |
| Phenotyping agronomic and physiological traits in peanut under mid‐season drought stress using UAV‐based hyperspectral imaging and machine learning K Bagherian, R Bidese‐Puhl, Y Bao, Q Zhang, A Sanz‐Saez, PM Dang, ... The Plant Phenome Journal 6 (1), e20081, 2023 | 5 | 2023 |
| Phenotyping agronomic traits of peanuts using UAV-based hyperspectral imaging and deep learning K Bagherian, RB Puhl, Y Bao, Q Zhang, A Sanz-Saez, C Chen, P Dang 2022 ASABE Annual International Meeting, 1, 2022 | 3 | 2022 |
| Infield peanut pod counting using deep neural networks for yield estimation RB Puhl, Y Bao, A Sanz-Saez, C Chen 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 3 | 2021 |
| Precision Agriculture Systems for the Southeast US Using Computer Vision and Deep Learning R Bidese Puhl | 2 | 2023 |
| Estimation of equine stride length and stance duration using stereo 3d videography and deep learning N Niknejad, J Caro, RB Puhl, Y Bao, EA Staiger 2022 ASABE Annual International Meeting, 1, 2022 | 2 | 2022 |
| An mmWave radar-based mass flow sensor using machine learning towards a peanut yield monitor R Bidese-Puhl, CL Butts, M Rewis, JS McIntyre, J Morris, B Branch, Y Bao Computers and Electronics in Agriculture 215, 108340, 2023 | 1 | 2023 |
| Equine kinematic gait analysis using stereo videography and deep learning: stride length and stance duration estimation N Niknejad, JL Caro, R Bidese-Puhl, Y Bao, EA Staiger American Society of Agricultural and Biological Engineers 66 (4), 865-877, 2023 | 1 | 2023 |
| In-Field Pine Seedling Counting Using End-to-End Deep Learning for Inventory Management R Bidese-Puhl, Y Bao, ND Payne, TA Stokes, RL Nadel, SA Enebak American Society of Agricultural and Biological Engineers 66 (2), 469-477, 2023 | 1 | 2023 |
| Phenotyping of Pine Tree Architecture with Stereo Vision and Deep Learning M Akter, N Niknejad, Y Bao, RB Puhl, K Payn, J Zheng 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 1 | 2021 |
| Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes C Eleh, Y Zhang, R Bidese, BW Priest, AL Muyskens, R Molinari, N Billor arXiv preprint arXiv:2407.19297, 2024 | | 2024 |
| Tree seedling inventory system RBP Yin Bao, James L. Johnson, Bobby Bradford US Patent US20240020634A1, 2024 | | 2024 |
| Blackbird Microscopy Robot for High Throughput Quantification of Disease Severity and Other Foliar Traits L Cadle-Davidson, A Underhill, R Bidese, SD Sapkota, T Qiu, ... Plant and Animal Genome Conference/PAG 31 (January 12-17, 2024), 2024 | | 2024 |
| Sistema de Telemetria Por RFID Ativo R Bidese, R Weirich, S Bonho Revista Ilha Digital 8, 59-73, 2023 | | 2023 |
| Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes (MuyGPs) R Bidese, C Eleh, Y Zhang, R Molinari, N Billor, B Priest, I Goumiri, ... Symposium on Data Science and Statistics, 2023 | | 2023 |
| In-field pine seedling counting using end-to-end deep learning for inventory management RB Puhl, Y Bao, N Payne, T Stokes, R Nadel, S Enebak 2022 ASABE Annual International Meeting, 1, 2022 | | 2022 |
| Desenvolvimento de um sistema de automatização de análise química para monitoramento de cloro, PH e turbidez em aplicações do agronegócio RB Puhl | | 2017 |
Yin BaoUniversity of Delaware在 udel.edu 的电子邮件经过验证
