| High throughput in vivo analysis of plant leaf chemical properties using hyperspectral imaging P Pandey, Y Ge, V Stoerger, JC Schnable Frontiers in plant science 8, 1348, 2017 | 274 | 2017 |
| Conventional and hyperspectral time-series imaging of maize lines widely used in field trials Z Liang, P Pandey, V Stoerger, Y Xu, Y Qiu, Y Ge, JC Schnable Gigascience 7 (2), gix117, 2018 | 58 | 2018 |
| Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings P Pandey, KG Payn, Y Lu, AJ Heine, TD Walker, JJ Acosta, S Young Remote Sensing 13 (18), 3595, 2021 | 17 | 2021 |
| Frontier: Autonomy in Detection, Actuation, and Planning for Robotic Weeding Systems P Pandey, HN Dakshinamurthy, SN Young Transactions of the ASABE 64 (2), 557-563, 2021 | 17 | 2021 |
| Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging Y Lu, TD Walker, JJ Acosta, S Young, P Pandey, AJ Heine, KG Payn Forest Science 67 (3), 321-334, 2021 | 10 | 2021 |
| Predicting foliar nutrient concentrations and nutrient deficiencies of hydroponic lettuce using hyperspectral imaging P Pandey, P Veazie, B Whipker, S Young Biosystems Engineering 230, 458-469, 2023 | 8 | 2023 |
| Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedling for Freeze Tolerance Y Lu, KG Payn, P Pandey, JJ Acosta, AJ Heine, TD Walker, S Young Transactions of the ASABE, 0, 2021 | 7 | 2021 |
| High Throughput Phenotyping for Fusiform Rust Disease Resistance in Loblolly Pine Using Hyperspectral Imaging P Pandey, KG Payn, Y Lu, AJ Heine, TD Walker, S Young 2020 ASABE Annual International Virtual Meeting, 1, 2020 | 6 | 2020 |
| Impact of Macronutrient Fertility on Mineral Uptake and Growth of Lactuca sativa ‘Salanova Green’ in a Hydroponic System P Veazie, P Pandey, S Young, MS Ballance, K Hicks, B Whipker Horticulturae 8 (11), 1075, 2022 | 4 | 2022 |
| Hyperspectral Imaging-Enabled High-Throughput Screening of Loblolly Pine (Pinus taeda) Seedlings for Freeze Tolerance Y Lu, KG Payn, P Pandey, JJ Acosta, AJ Heine, TD Walker, S Young 2020 ASABE Annual International Virtual Meeting, 1, 2020 | 3 | 2020 |
| Estimating fresh biomass of maize plants from their RGB images in greenhouse phenotyping Y Ge, P Pandey, G Bai Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2016 | 3 | 2016 |
| A Literature Review of Non-herbicide, Robotic Weeding: A Decade of Progress P Pandey, HN Dakshinamurthy, S Young | 2 | 2020 |
| Towards aerial robotic pollination for controlled crosses in Pinus taeda P Pandey, JJ Acosta, KG Payn, SN Young 2022 ASABE Annual International Meeting, 1, 2022 | 1 | 2022 |
| High Throughput Phenotyping of Sorghum for the Study of Growth Rate, Water Use Efficiency, and Chemical Composition P Pandey | 1 | 2017 |
| Synthetically Labeled Images for Maize Plant Detection in UAS Images P Pandey, NB Best, JD Washburn International Symposium on Visual Computing, 543-556, 2023 | | 2023 |
| Deep learning for maize mutants: Phenotyping individual plants using UAS images P Pandey, NB Best, JD Washburn Authorea Preprints, 2023 | | 2023 |
| Design Considerations for In-Field Measurement of Plant Architecture Traits Using Ground-Based Platforms P Pandey, S Young High-Throughput Plant Phenotyping, 171-190, 2022 | | 2022 |
| The Impacts of Macronutrient Fertility Concentrations on Mineral Uptake and Growth of Latuca sativa ‘Salanova Green’ P Veazie, B Whipker, S Young, P Pandey 2021 ASHS Annual Conference, 2021 | | 2021 |
| Lessons From Paired Data From exPVP Maize Lines in Agronomic Field Trials and RGB And Hyperspectral Time-Series Imaging In Controlled Environments JC Schnable, P Pandey, Y Ge, Y Xu, Y Qiu, Z Liang AGU Fall Meeting Abstracts 2017, B41J-04, 2017 | | 2017 |
