| Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and Machine Learning X Wei, MA Johnson, J Langston, D.B., HL Mehl, S Li Remote Sensing 13 (14), 2833, 2021 | 28 | 2021 |
| Comparison of Current Peanut Fungicides Against Athelia rolfsii Through a Laboratory Bioassay of Detached Plant Tissues X Wei, DB Langston Jr, HL Mehl Plant Disease 106 (8), 2046-2052, 2022 | 6 | 2022 |
| Machine Learning Analysis of Hyperspectral Images of Damaged Wheat Kernels K Dhakal, U Sivaramakrishnan, X Zhang, K Belay, J Oakes, X Wei, S Li Sensors 23 (7), 3523, 2023 | 5 | 2023 |
| Detection of soilborne disease utilizing sensor technologies: Lessons learned from studies on stem rot of peanut X Wei, M Aguilera, R Walcheck, D Tholl, S Li, D Langston, H Mehl Plant Health Progress 22 (4), 436-444, 2021 | 5 | 2021 |
| NLCS - A novel coordinate system for spatial analysis on hyperspectral leaf images and an improved nitrogen index for soybean plants Z Song, X Wei, J Jin Computers and Electronics in Agriculture 204 (2023), 107550, 2022 | 4 | 2022 |
| Development of a target-to-sensor mode multispectral imaging device for high-throughput and high-precision touch-based leaf-scale soybean phenotyping X Li, Z Chen, X Wei, T Zhao, J Jin Sensors 23 (7), 3756, 2023 | 3 | 2023 |
| Spectral and Thermal Responses of Peanut to Infection and Colonization with Athelia rolfsii X Wei, DB Langston Jr, HL Mehl PhytoFrontiers™ 1 (3), 173-181, 2021 | 3 | 2021 |
| Comparison of foliar fungicide programs for leaf spot and soilborne disease control in peanut in Virginia, 2017 X Wei, L Byrd-Masters, HL Mehl Plant Disease Management Reports 12 (CF041), 2018 | 3 | 2018 |
| Evaluation of in-furrow and foliar applications of fungicides to control leaf spot and soilborne diseases in peanut in Virginia, 2019. X Wei, L Byrd-Masters, HL Mehl Plant Disease Management Reports 14 (CF166), 2020 | 2 | 2020 |
| Comparison of in-furrow and foliar applications of fungicides for peanut disease control in Virginia, 2018. X Wei, L Byrd-Masters, HL Mehl Plant Disease Management Reports 13 (CF144), 2019 | 2 | 2019 |
| Spectral and thermal signatures of early infection of peanut with Sclerotium rolfsii X Wei, DB Langston, HL Mehl Plant Health 2019, 2019 | 2 | 2019 |
| Machine learning-based spectral and spatial analysis of hyper-and multi-spectral leaf images for Dutch elm disease detection and resistance screening X Wei, J Zhang, AO Conrad, CE Flower, CC Pinchot, N Hayes-Plazolles, ... Artificial Intelligence in Agriculture 10, 26-34, 2023 | 1 | 2023 |
| Early Detection of Dicamba and 2, 4-D Herbicide Drifting Injuries on Soybean with a New Spatial–Spectral Algorithm Based on LeafSpec, an Accurate Touch-Based Hyperspectral Leaf … Z Niu, J Young, WG Johnson, B Young, X Wei, J Jin Remote Sensing 15 (24), 5771, 2023 | | 2023 |
| Assessing the Effect of Essential Oil Nanoemulsions against Tomato Gray Mold using Multispectral Imaging JM Luis, P Vega-Vazquez, X Wei, L Johnson, J Jin, K Ristroph, ... Authorea Preprints, 2023 | | 2023 |
| A Novel Spectral-Structural Analysis Method based on Corn Leaf Hyperspectral Images for the Identification of Nitrogen Deficiencies Z Song, J Zhang, X Wei, Z Chen, J Jin Authorea Preprints, 2023 | | 2023 |
| Visible and Near-Infrared Hyperspectral Diurnal Variation Calibration for Corn Phenotyping Using Remote Sensing J Zhang, D Ma, X Wei, J Jin Remote Sensing 15 (12), 3057, 2023 | | 2023 |
| Interactive Deep Learning for Exploratory Sorting of Plant Images by Visual Phenotypes H Han, R Prabhu, T Smith, K Dhakal, X Wei, S Li, C North Authorea, 2022 | | 2022 |
| Management of stem rot of peanut using optical sensors, machine learning, and fungicides X Wei Virginia Tech, 2021 | | 2021 |
| Comparison of in-furrow and foliar applications of fungicides for disease control and impact on yield in peanut in Virginia, 2019. X Wei, L Byrd-Masters, HL Mehl Plant Disease Management Reports 14 (CF165), 2020 | | 2020 |
| Identification of sensor-based signatures of peanut infection with Athelia rolfsii using machine learning X Wei, MA Johnson, S Li, DB Langston, HL Mehl Plant Health 2020 Online, 2020 | | 2020 |
Hillary MehlUSDA Agricultural Research ServiceVerified email at usda.gov
