| Comparison of detection modes in terms of the necessity of visible region (VIS) and influence of the peel on soluble solids content (SSC) determination of navel orange using … A Wang, D Hu, L Xie Journal of Food Engineering 126, 126-132, 2014 | 71 | 2014 |
| Quality assessment of tomato fruit by optical absorption and scattering properties Y Huang, R Lu, D Hu, K Chen Postharvest Biology and Technology 143, 78-85, 2018 | 68 | 2018 |
| Measurement methods for optical absorption and scattering properties of fruits and vegetables D Hu, X Fu, A Wang, Y Ying Transactions of the ASABE 58 (5), 1387-1401, 2015 | 56 | 2015 |
| Noncontact and wide-field characterization of the absorption and scattering properties of apple fruit using spatial-frequency domain imaging D Hu, X Fu, X He, Y Ying Scientific Reports 6 (1), 37920, 2016 | 53 | 2016 |
| Wireless positioning and path tracking for a mobile platform in greenhouse L Yao, D Hu, C Zhao, Z Yang, Z Zhang International Journal of Agricultural and Biological Engineering 14 (1), 216-223, 2021 | 36 | 2021 |
| An artificial neural network model for accurate and efficient optical property mapping from spatial-frequency domain images Z Sun, L Xie, D Hu, Y Ying Computers and Electronics in Agriculture 188, 106340, 2021 | 32 | 2021 |
| Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products D Hu, R Lu, Y Ying Journal of Food Engineering 277, 109909, 2020 | 31 | 2020 |
| Monte Carlo: A flexible and accurate technique for modeling light transport in food and agricultural products D Hu, T Sun, L Yao, Z Yang, A Wang, Y Ying Trends in Food Science & Technology 102, 280-290, 2020 | 29 | 2020 |
| Effects of optical variables in a single integrating sphere system on estimation of scattering properties of turbid media D Hu, R Lu, Y Huang, Y Ying, X Fu Biosystems engineering 194, 82-98, 2020 | 29 | 2020 |
| A two-step parameter optimization algorithm for improving estimation of optical properties using spatial frequency domain imaging D Hu, R Lu, Y Ying Journal of Quantitative Spectroscopy and Radiative Transfer 207, 32-40, 2018 | 25 | 2018 |
| Detection of early stage bruise in apples using optical property mapping Z Sun, D Hu, L Xie, Y Ying Computers and Electronics in Agriculture 194, 106725, 2022 | 22 | 2022 |
| Spatial frequency domain imaging for determining absorption and scattering properties of bruised pears based on profile corrected diffused reflectance X He, D Hu, X Fu, X Rao Postharvest Biology and Technology 179, 111570, 2021 | 22 | 2021 |
| Quality assessment of fruits and vegetables based on spatially resolved spectroscopy: A review W Si, J Xiong, Y Huang, X Jiang, D Hu Foods 11 (9), 1198, 2022 | 21 | 2022 |
| Assessment of firmness and soluble solids content of peaches by spatially resolved spectroscopy with a spectral difference technique Y Huang, J Xiong, X Jiang, K Chen, D Hu Computers and Electronics in Agriculture 200, 107212, 2022 | 20 | 2022 |
| Spatial-frequency domain imaging: An emerging depth-varying and wide-field technique for optical property measurement of biological tissues Z Sun, D Hu, Z Wang, L Xie, Y Ying Photonics 8 (5), 162, 2021 | 20 | 2021 |
| An improved fuzzy logic control method for path tracking of an autonomous vehicle L Yao, SK Pitla, C Zhao, CT Liew, D Hu, Z Yang Transactions of the ASABE 63 (6), 1895-1904, 2020 | 13 | 2020 |
| A stepwise method for estimating optical properties of two-layer turbid media from spatial-frequency domain reflectance D Hu, R Lu, Y Ying, X Fu Optics Express 27 (2), 1124-1141, 2019 | 13 | 2019 |
| Finite element simulation of light transfer in turbid media under structured illumination D Hu, R Lu, Y Ying Applied Optics 56 (21), 6035-6042, 2017 | 12 | 2017 |
| Characterizing pear tissue with optical absorption and scattering properties using spatially-resolved diffuse reflectance D Hu, X Fu, Y Ying Journal of Food Measurement and Characterization 11, 930-936, 2017 | 12 | 2017 |
| Design, integration, and evaluation of a robotic peach packaging system based on deep learning Q Wang, D Wu, Z Sun, M Zhou, D Cui, L Xie, D Hu, X Rao, H Jiang, Y Ying Computers and Electronics in Agriculture 211, 108013, 2023 | 10 | 2023 |
Renfu LuUSDA/ARSVerified email at ars.usda.gov