Publications

Google Scholar - Wenxuan Guo

ResearchGate - Wenxuan Guo

 

1. Karn, R. Hillin, D., Helwi, P., Scheiner, J., Guo, W. 2024. Assessing grapevine vigor as affected by soil physicochemical properties and topographic attributes for precision vineyard management. Scientia Horticulturae, 328: 112857.
2. Abdalla, A., Wheeler, T.W., Dever, J. Lin, J., Arce, J., and Guo, W. 2024. Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model. Biosystems Engineering 237, 220-231.
3. Singh, A., Deb, S.K., Slaughter, L.C., Singh, S., Ritchie, G.L., Guo, W., and Saini, R. 2024. Simulation of root zone soil water dynamics under cotton-silverleaf nightshade interactions in drip-irrigated cotton. Agricultural Water Management, 288, 108479.
4. Rabia, A., J. Neupane, Z. Lin, K. Lewis, G. Cao, and W. Guo. 2022. Principles and Applications of Topography in Precision Agriculture. Advances in Agronomy, 171: 143-189. https://doi.org/10.1016/bs.agron.2021.08.005.
5. Neupane, J., W. Guo, G. Cao, F. Zhang, L. Slaughter, and S. Deb. 2022. Spatial patterns of soil microbial communities and implications for precision soil management at the field scale. Precision Agriculture. 23: 1008–1026. DOI:  10.1007/s11119-021-09872-1.
6. Neupane, J., W. Guo, C. West, F. Zhang, and Z. Lin. 2021. Effects of Irrigation Rates on Cotton Yield as Affected by Soil Physical Properties and Topography in the Southern High Plains. Plos One 16(10): e0258496. https://doi.org/10.1371/journal.pone.0258496.
7. Gikunda, R. M., D. Lawver, M. Baker, A. Boren, and W. Guo. 2021. Extension education needs for improved adoption of sustainable organic agriculture in Central Kenya. American Journal of Geographic Information System, 10(2): 61-71.
8. Lin, Z., and W. Guo. 2021. Cotton Stand Counting from Unmanned Aerial System Imagery using MobileNet and CenterNet Deep Learning Models. Remote Sensing,  13(14), 2822.
9. Sun, Y., W. Guo, D. Weindorf,  F. Sun, S. Deb, G. Cao, J. Neupane,  Z. Lin, A. Raihan. 2021. Field-scale Calcium Spatial Variability: Implications for Soil Erosion and Site-specific Management. Pedosphere.  31(5): 705-714.
10. Wen M., W. Zhao, W. Guo, X. Wang, P. Li, J. Cui, Y. Liu, and F. Ma. 2021. Coupling effects of reduced nitrogen, phosphorus and potassium on drip-irrigated cotton growth and yield formation in northern XinJiang. Archives of Agronomy and Soil Science. 68(9): 1239-1250. https://doi.org/10.1080/03650340.2021.1881776.
11. Gu, H., Z. Lin, W. Guo, and S. Deb. 2021.  Retrieving Surface Soil Water Content Using a Soil Texture Adjusted Vegetation Index and Unmanned Aerial System Images. Remote Sensing 2021, 13(1), 145; https://doi.org/10.3390/rs13010145.
12. Lin, Z.,  and W. Guo. 2020. Sorghum Panicle Detection and Counting using Unmanned Aerial System Images and Deep Learning. Frontiers in Plant Science, 11:534853. doi: 10.3389/fpls.2020.534853.
13. Lin, Y., Z. Zhu, W. Guo, Y. Sun, X. Yang, and X. Kovalskyy. 2020. Continuous Monitoring of Cotton Stem Water Potential using Sentinel-2 Imagery. Remote Sens. 12, 1176.
14. Pabuayon, I. L., Y. Sun,  W. Guo,  and G. Ritchie. 2019. High-Throughput Phenotyping in Cotton: A review. Journal of Cotton Research, 2(1), 2-18.
15. Gusso, A., W. Guo, and S. Rolim. 2019. Reflectance-based model for soybean mapping in United States at common land unit scale with Landsat 8.  European Journal of Remote Sensing, 52(1): 522-531.
16. Thompson, C., W. Guo, B. Sharma, and G. Ritchie. 2019. Using Normalized Difference Red Edge index to assess maturity in cotton. Crop Science, 59(5): 2167-2177.
17. Neupane, J., and W. Guo. 2019. Agronomic basis, technology, and benefits of precision water management: a review. Agronomy 9(2): 87. doi:10.3390/agronomy9020087.
18. Guo, W. 2018. Spatial and temporal trends of irrigated cotton yield in the Southern High Plains. Agronomy 8(12): 298. doi:10.3390/agronomy8120298.
19. Guo, W. 2018. Application of geographic information system and automated guidance system in optimizing contour and terrace farming. Agriculture 8(9): 142. doi: 10.3390/agriculture8090142.
20. Chen, T., R. Zeng, W. Guo, X. Hou, Y. Lan, and L. Zhang. 2018. Detection of stress in cotton (Gossypium hirsutum L.) caused by aphids using leaf level hyperspectral measurements. Sensors 18(9), 2798. doi:10.3390/s18092798.
21. Guo, W., S. Cui, J. Torrion, and N. Rajan. 2015. Data-Driven Precision Agriculture: Opportunities and Challenges. In Soil-Specific Farming: Precision Agriculture. L. Rattan and B. A. Stewart (eds.). CRC Press, Boca Raton, FL. P.353–372. doi: 10.1201/b18759-15.
22. Torrion, J. A., S. J. Maas, W. Guo, J. P. Bordovsky, and A.M. Cranmer. 2014. A three-dimensional index for characterizing crop water stress. Remote Sensing 6: 4025-4042.
23. Guo, W., S.J. Maas, and K.F. Bronson. 2012. Relationship between cotton yield and soil electrical conductivity, topography, and Landsat imagery. Precision Agriculture 13: 678-692.
24. Guo, W., and S.J. Maas. 2012. Terrace layout design utilizing geographic information system and automated guidance system. Applied Engineering in Agriculture 28:31-38.
25. Ko, J., G. Piccinni, W. Guo, and E. Steglich. 2009. Parameterization of EPIC crop model for simulation of cotton growth in South Texas. Journal of Agricultural Science 147: 169-178.
26. Todd, R.W., N.A. Cole, R.N. Clark, W.C. Rice, and W. Guo. 2008. Soil nitrogen distribution and deposition on shortgrass prairie adjacent to a beef cattle feedyard. Biology and Fertility of Soils. 44(8): 1099-1102.  doi: 10.1007/s00374-008-0286-2.
27. Todd, R., W. Guo, B.A. Stewart, and C. Robinson. 2004. Vegetation, phosphorus, and dust gradients downwind from a cattle feedyard. Journal of Range Management 57: 291-299.
28. Meng, Q., A. Meng, J. Wang, Z. Liu, W. Guo, and M. Cui. 1998. The path analysis of main quantity characters and dry leaf yield of Stevia Rebaudiano Bertoni. Journal of Jilin Agricultural University 20:17-19.