| Greenhouse environment modeling and simulation for microclimate control D Ma, N Carpenter, H Maki, TU Rehman, MR Tuinstra, J Jin Computers and electronics in agriculture 162, 134-142, 2019 | 94 | 2019 |
| Predictive spectral analysis using an end-to-end deep model from hyperspectral images for high-throughput plant phenotyping TU Rehman, D Ma, L Wang, L Zhang, J Jin Computers and Electronics in Agriculture 177, 105713, 2020 | 46 | 2020 |
| LeafSpec: An accurate and portable hyperspectral corn leaf imager L Wang, J Jin, Z Song, J Wang, L Zhang, TU Rehman, D Ma, ... Computers and Electronics in Agriculture 169, 105209, 2020 | 45 | 2020 |
| Optimized angles of the swing hyperspectral imaging system for single corn plant L Zhang, H Maki, D Ma, JA Sánchez-Gallego, MV Mickelbart, L Wang, ... Computers and electronics in agriculture 156, 349-359, 2019 | 43 | 2019 |
| Removal of greenhouse microclimate heterogeneity with conveyor system for indoor phenotyping D Ma, N Carpenter, S Amatya, H Maki, L Wang, L Zhang, S Neeno, ... Computers and electronics in agriculture 166, 104979, 2019 | 41 | 2019 |
| Precise estimation of NDVI with a simple NIR sensitive RGB camera and machine learning methods for corn plants L Wang, Y Duan, L Zhang, TU Rehman, D Ma, J Jin Sensors 20 (11), 3208, 2020 | 37 | 2020 |
| Application of non-linear partial least squares analysis on prediction of biomass of maize plants using hyperspectral images D Ma, H Maki, S Neeno, L Zhang, L Wang, J Jin Biosystems Engineering 200, 40-54, 2020 | 26 | 2020 |
| Stress distribution analysis on hyperspectral corn leaf images for improved phenotyping quality D Ma, L Wang, L Zhang, Z Song, T U. Rehman, J Jin Sensors 20 (13), 3659, 2020 | 22 | 2020 |
| High Arabinoxylan Fine Structure Specificity to Gut Bacteria Driven by Corn Genotypes but not Environment X Zhang, J Xie, T Chen, D Ma, T Yao, F Gu, J Lim, MR Tuinstra, ... Carbohydrate Polymers, 117667, 2021 | 20 | 2021 |
| Leaf Scanner: A portable and low-cost multispectral corn leaf scanning device for precise phenotyping L Zhang, L Wang, J Wang, Z Song, TU Rehman, T Bureetes, D Ma, ... Computers and electronics in agriculture 167, 105069, 2019 | 20 | 2019 |
| Modeling of diurnal changing patterns in airborne crop remote sensing images D Ma, TU Rehman, L Zhang, H Maki, MR Tuinstra, J Jin Remote Sensing 13 (9), 1719, 2021 | 13 | 2021 |
| Calibration transfer across multiple hyperspectral imaging-based plant phenotyping systems: I–Spectral space adjustment TU Rehman, L Zhang, D Ma, L Wang, J Jin Computers and Electronics in Agriculture 176, 105685, 2020 | 13 | 2020 |
| Automated leaf movement tracking in time-lapse imaging for plant phenotyping TU Rehman, L Zhang, L Wang, D Ma, H Maki, JA Sánchez-Gallego, ... Computers and Electronics in Agriculture 175, 105623, 2020 | 12 | 2020 |
| Modeling of environmental impacts on aerial hyperspectral images for corn plant phenotyping D Ma, TU Rehman, L Zhang, H Maki, MR Tuinstra, J Jin Remote Sensing 13 (13), 2520, 2021 | 9 | 2021 |
| Multi-species prediction of physiological traits with hyperspectral modeling MY Lin, V Lynch, D Ma, H Maki, J Jin, M Tuinstra Plants 11 (5), 676, 2022 | 7 | 2022 |
| A 3D white referencing method for soybean leaves based on fusion of hyperspectral images and 3D point clouds L Zhang, J Jin, L Wang, P Huang, D Ma Precision Agriculture, 1-14, 2020 | 5 | 2020 |
| Common latent space exploration for calibration transfer across hyperspectral imaging-based phenotyping systems TU Rehman, L Zhang, D Ma, J Jin Remote Sensing 14 (2), 319, 2022 | 3 | 2022 |
| Comparison of Various Nitrogen and Water Dual Stress Effects for Predicting Relative Water Content and Nitrogen Content in Maize Plants through Hyperspectral Imaging H Maki, V Lynch, D Ma, MR Tuinstra, M Yamasaki, J Jin AI 4 (3), 692-705, 2023 | 1 | 2023 |
| Ameliorating Environmental Effects on Hyperspectral Images for Improved Phenotyping in Greenhouse and Field Conditions D Ma Purdue University, 2020 | 1 | 2020 |
| 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 |
