Publications

1. X. Li, Z. Chen, X. Wei, T. Zhao, J. Jin. 2023. Development of a Target-to-Sensor Mode Multispectral Imaging Device for High-Throughput and High-Precision Touch-Based Leaf-Scale Soybean Phenotyping. Sensors. 23(7), 3756.

2. X. Li, Z. Chen, J. Wang, J. Jin. 2023. LeafSpec-Dicot: An Accurate and Portable Hyperspectral Imaging Device for Dicot Leaves. Sensors. 23(7), 3687.

3. M. Lin, V. Lynch, D. Ma^G*, H. Maki^VS, Jian Jin, Mitch Tuinstra*. 2022. Multi-Species Prediction of Physiological Traits with Hyperspectral Modeling. Plants. 11(5), 676. 

4. T.U. Rehman^G*, L. Zhang^G, D. Ma^G, and J. Jin*. 2022. Common Latent Space Exploration for Calibration Transfer across Hyperspectral Imaging-Based Phenotyping Systems. Remote Sensing. 14(2), 319.

5. Z. Song^G*, W. Qiu^VS*, and J. Jin*. 2021. MISIRoot: A Robotic Minimum Invasion In-Situ Imaging System for Plant Root Phenotyping. Accepted by Transactions of the ASABE in May 2021. ITSC-14306-2020

6. D. Ma^G*, T.U. Rehman^G, L. Zhang^G, H. Maki^VS, M. R. Tuinstra, and J. Jin*. 2021. Modeling of environmental impacts on aerial hyperspectral images for corn plant phenotyping. Remote Sens. 2021, 13(13), 2520. https://doi.org/10.3390/rs13132520

7. C.D. Cruz*, Y. Huang, M.R. Jahanshahi, C. Gongora-Canul, J. Jin, T. Wang^VS*, and M. Fernandez-Campos*. 2021. Wheat spike blast image classification using deep convolutional neural networks. Frontiers in Plant Science. Volume 12, page 1054, DOI=10.3389/fpls.2021.673505. 

8. D. Ma^G*, T.U. Rehman^G, L. Zhang^G, H. Maki^VS, M. R. Tuinstra, and J. Jin*. 2021. Modeling of diurnal changing patterns in airborne crop remote sensing images. Remote Sens. 2021, 13, 1719. https://doi.org/10.3390/ rs13091719

9. Z. Chen ^G*, J. Wang ^G, T. Wang^VS, Z. Song ^G, Y. Li ^UG, Y. Huang ^G, L. Wang ^PD, and J. Jin*. 2021. Automated In-Field Leaf-Level Hyperspectral Imaging of Corn Plants Using a Cartesian Robotic Platform. Computers and Electronics in Agriculture. Volume 183, 105996

10. D. Ma^G*, H. Maki^VS, S. Neeno^G, L. Zhang^G, L. Wang^PD, and J. Jin*. 2020. Application of non-linear partial least squares analysis on prediction of biomass of corn plants using hyperspectral images. Biosystems Engineering, Volume 200, Pages 40-54.

11. T.U. Rehman^G*, D. Ma^G, H. Maki^VS, L. Wang^PD, L. Zhang ^G, M.M. Crawford, and J. Jin*. 2020. Predictive spectral analysis using an end-to-end deep model from hyperspectral images for plant phenotyping. Computers and Electronics in Agriculture. Volume 177, 105713

12. T.U. Rehman^G*, L. Zhang^G, D. Ma^G, L. Wang^PD, and J. Jin*. 2020. Calibration transfer across multiple hyperspectral imaging-based plant phenotyping systems: I – Spectral Space Adjustment. Computers and Electronics in Agriculture. Volume 176, 105685

13. T.U. Rehman^G*, L. Zhang^G, L. Wang^PD, D. Ma^G, H. Maki^VS, J.A. Sánchez-Gallego, M.V. Mickelbart, and J. Jin*. 2020. Automated leaf movement tracking in time-lapse imaging for plant phenotyping. Computers and Electronics in Agriculture. Volume 175, 105623

14. D. Ma^G*, L. Wang^PD, L. Zhang^G, Z. Song^G, T.U. Rehman^G, and J. Jin*. 2020. Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality. Sensors. 2020, 20(13), 3659.

15. L. Wang^PD*, Y. Duan^G, L. Zhang^G, T.U. Rehman^G, D. Ma^G, and J. Jin*. 2020. Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants. Sensors. 2020, 20(11), 3208.

16. L. Wang^PD*, Y. Duan^G, L. Zhang^G, J. Wang^G, Y. Li^G, and J. Jin*. 2020. LeafScope: A Portable High-resolution Multispectral Imager for In Vivo Imaging Soybean Leaf. Sensors. 2020, 20, 2194. Doi:10.3390/s20082194

17. L. Zhang^G*, J. Jin*, L. Wang^PD, P. Huang^VS, and D. Ma^G. 2020. A 3D White Referencing Method for Soybean Leaves Based on Fusion of Hyperspectral Images and 3D Point Clouds. Precision Agriculture. https://doi.org/10.1007/s11119-020-09713-7

18. L. Wang^PD*, J. Jin*, Z. Song^G, J. Wang^UG, L. Zhang^G, T.U. Rehman^G, D. Ma^G, N.R. Carpenter^PD, and M.R. Tuinstra. 2020. LeafSpec: An accurate and portable hyperspectral corn leaf imager. Computers and Electronics in Agriculture. Volume 169, 105209

19. L. Zhang^G*, L. Wang^PD, J. Wang^UG, Z. Song^G, T.U. Rehman^G, T. Bureetes^G, D. Ma^G, Z. Chen^G, S. Neeno^G, and J. Jin*. 2019. Leaf Scanner: A portable and low-cost multispectral corn leaf scanning device for precise phenotyping. Computers and Electronics in Agriculture. Volume 167, 105069

20. D. Ma^G*, N. Carpenter^PD, S. Amatya^PD, H. Maki^VS, L. Wang^PD, L. Zhang^G, S. Neeno^G, M.R. Tuinstra, and J. Jin*. 2019. Removal of greenhouse microclimate heterogeneity with conveyor system for indoor phenotyping. Computers and Electronics in Agriculture. Volume 166, 104979.

21. T. Wang^G*, M. Rostamza^PD, Z. Song^G, L. Wang^PD, G. McNickle, A.S. Iyer-Pascuzzi, Z. Qiu, and J. Jin*. 2019. SegRoot: A high throughput segmentation method for root image analysis. Computers and Electronics in Agriculture. Volume 162, 845-854

22. T.U. Rehman^G*, M.S. Mahmud, Y.K. Chang, J. Jin, and J. Shin. 2019. Current and future applications of statistical machine learning algorithms for agricultural machine vision systems. Computers and Electronics in Agriculture. Volume 156, 585-605 

23.  L. Zhang^G*, H. Maki^VS, D. Ma^G, J.A. Sánchez-Gallego^UG, M.V. Mickelbart, L. Wang^PD, and J. Jin*. 2019. Optimized angles of the swing hyperspectral imaging system for single corn plant. Computers and Electronics in Agriculture. Volume 156, 349-359

24.  D. Ma^G*, N. Carpenter^PD, T. Rehman^G, H. Maki^VS, M. Tuinstra, and J. Jin*. 2019. Greenhouse Environment Modeling and Simulation for Microclimate Control. Computers and Electronics in Agriculture. Vol 162, July 2019, Pages 134-142

25. P. Huang^VS*, X. Luo, J. Jin*, L. Wang^PD, L. Zhang^G, J. Liu^VS, and Z. Zhang. 2018. Improving High-Throughput Phenotyping Using Fusion of Close-Range Hyperspectral Camera and Low-Cost Depth Sensor. Sensors. Volume 18 (8), 2711 

26. J. Jin* and A.A. Carroll. 2017. Automatic Phenotyping Systems for Agricultural Research in Different Modes. Open Access Journal of Agricultural Research. Volume 2, Issue 5.

27. J. Jin* and L. Tang*. 2011. Coverage Path Planning on Three-dimensional Terrain for Arable Farming. Journal of Field Robotics. Volume 28, Issue 3, Pages 424-440.

28. J. Jin* and L. Tang*. 2010. Optimal Coverage Path Planning for Arable Farming on 2D Surfaces. Transactions of the ASABE. 53(1): 283-295.

29. J. Jin*, L. Tang*, Z. Hruska, and H. Yao. 2009. Classification of Toxigenic and Atoxigenic Strains of Aspergillus Flavus with Hyperspectral Imaging. Computers and Electronics in Agriculture. Volume 69, Issue 2, Pages 158-164.  

30. J. Jin* and L. Tang*. 2009. Corn Plant Sensing Using Real-Time Stereo Vision. Journal of Field Robotics. Volume 26, Issue 6-7, Pages 591-608.