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Dongdong Ma
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Year
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
942019
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
462020
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
452020
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
432019
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
412019
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
372020
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
262020
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
222020
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
202021
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
202019
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
132021
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
132020
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
122020
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
92021
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
72022
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
52020
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
32022
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
12023
Ameliorating Environmental Effects on Hyperspectral Images for Improved Phenotyping in Greenhouse and Field Conditions
D Ma
Purdue University, 2020
12020
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
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Articles 1–20