| Current and future applications of statistical machine learning algorithms for agricultural machine vision systems TU Rehman, MS Mahmud, YK Chang, J Jin, J Shin Computers and electronics in agriculture 156, 585-605, 2019 | 353 | 2019 |
| Optimal coverage path planning for arable farming on 2D surfaces J Jin, L Tang Transactions of the ASABE 53 (1), 283-295, 2010 | 161 | 2010 |
| Coverage path planning on three‐dimensional terrain for arable farming J Jin, L Tang Journal of field robotics 28 (3), 424-440, 2011 | 149 | 2011 |
| Corn plant sensing using real‐time stereo vision J Jin, L Tang Journal of Field Robotics 26 (6‐7), 591-608, 2009 | 98 | 2009 |
| 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 | 92 | 2019 |
| SegRoot: A high throughput segmentation method for root image analysis T Wang, M Rostamza, Z Song, L Wang, G McNickle, AS Iyer-Pascuzzi, ... Computers and electronics in agriculture 162, 845-854, 2019 | 81 | 2019 |
| Classification of toxigenic and atoxigenic strains of Aspergillus flavus with hyperspectral imaging J Jin, L Tang, Z Hruska, H Yao Computers and Electronics in Agriculture 69 (2), 158-164, 2009 | 53 | 2009 |
| 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 |
| 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 | 42 | 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 | 42 | 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 | 34 | 2020 |
| A posture recognition method based on indoor positioning technology X Huang, F Wang, J Zhang, Z Hu, J Jin Sensors 19 (6), 1464, 2019 | 33 | 2019 |
| Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform Z Chen, J Wang, T Wang, Z Song, Y Li, Y Huang, L Wang, J Jin Computers and Electronics in Agriculture 183, 105996, 2021 | 32 | 2021 |
| 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 |
| Optimal field coverage path planning on 2D and 3D surfaces J Jin Iowa State University, 2009 | 25 | 2009 |
| Optimal path planning for arable farming J Jin, L Tang 2006 ASAE Annual Meeting, 1, 2006 | 25 | 2006 |
| Improving high-throughput phenotyping using fusion of close-range hyperspectral camera and low-cost depth sensor P Huang, X Luo, J Jin, L Wang, L Zhang, J Liu, Z Zhang Sensors 18 (8), 2711, 2018 | 24 | 2018 |
| 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 | 21 | 2020 |
| 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 |
