{"id":75409,"date":"2024-02-26T15:48:54","date_gmt":"2024-02-26T20:48:54","guid":{"rendered":"https:\/\/cals.ncsu.edu\/horticultural-science\/people\/jzhan256\/"},"modified":"2024-11-15T12:42:12","modified_gmt":"2024-11-15T17:42:12","slug":"jzhan256","status":"publish","type":"person","link":"https:\/\/cals.ncsu.edu\/horticultural-science\/people\/jzhan256\/","title":{"rendered":"Jing Zhang"},"content":{"rendered":"

Research bio:<\/h3>\n

Dr. Zhang’s research focuses on advancing the application of remote sensing, robotics, and data science in breeding, managing\/producing horticultural crops. Her research leverages different sensors (visual, multispectral, thermal, and hyperspectral) in different platforms (ground, aerial, and satellite) to help plant breeders in their phenotyping effort and producers in their precision management of water, nutrients, and pests, etc.<\/p>\n

Teaching bio:<\/h3>\n

Dr. Zhang is developing courses that are for both undergraduate and graduate students in the applications of high-throughput phenotyping in both horticultural plant breeding and production, and an introductory course of artificial intelligence applications that are relevant to both agriculture and horticulture.<\/p>\n

Selected Publications:<\/h2>\n
    \n
  1. Yue Li, Yuxin Miao, Jing Zhang, Davide Cammarano, Songyang Li, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao*, Qiang Cao*. 2022. Improving nitrogen status estimation of winter wheat using random forest by integrating multi-source data across different agro-ecological zones. Front. Plant Sci,\u00a0doi.org\/10.3389\/fpls.2022.890892<\/a>.<\/li>\n
  2. Brown, N.*, Zhang, J., Maleski, J., Schwartz, B. and W. Branch. 2022. Utility of unmanned aerial systems for measuring plant height and plant vigor among several Georgia runner peanut cultivars. The Plant Phenome Journal. 5(1).\u00a0doi.org\/10.1002\/ppj2.20053<\/a>.<\/li>\n
  3. Vines, P.* and J. Zhang. High-throughput plant phenotyping for improved turfgrass breeding applications. 2022. Grass Research 2: 1 doi: 10.48130\/GR-2022-0001.<\/li>\n
  4. Zhang, J.*, Maleski, J., Jespersen, D., Waltz, C., Rains, G. and B. Schwartz. 2021. Unmanned Aerial Systems (UAS) based weed mapping in sod production using a Convolutional Neural Network. Front. Plant Sci,: 2635.\u00a0doi.org\/10.3389\/fpls.2021.702626<\/a>.<\/li>\n
  5. Zhang, J., Maleski, J., Schwartz, B., Dunn, D., Mailhot, D., Ni, X.*, Harris-Shultz, K., Knoll, J. And M. Toews. Assessing spatio-temporal patterns of sugarcane aphid (Hemiptera: Aphididae) infestations on silage sorghum yield using Unmanned Aerial Systems (UAS). 2021. Crop Protection. 146:105681.\u00a0doi.org\/10.1016\/j.cropro.2021.105681<\/a>.<\/li>\n
  6. Willett, D.S.*, Filgueiras, C.C., Benda, N.D., Zhang, J. and K. Kenworthy. 2020. Sting nematodes modify metabolomic profiles of host plants. Sci Rep 10, 2212 (2020).\u00a0doi.org\/10.1038\/s41598-020-59062-8<\/a>.<\/li>\n
  7. Zhang, J, Virk S, Porter W, Kenworthy K, Sullivan D and Schwartz B*. 2019. Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials. Front. Plant Sci. 10:279. doi: 10.3389\/fpls.2019.00279.<\/li>\n
  8. Schwartz, B.M., Hanna, W.W., Baxter, L.L., Raymer, P.L., Waltz, F.C., Kowalewski, A.R., Chandra, A., Genovesi, A.D., Wherley, B.G., Miller, G.L., Milla-Lewis, S.R., Reynolds, C.C., Wu, Y., Martin, D.L., Moss, J.Q., Kenna, M.P., Unruh, J. B., Kenworthy, K.E., Zhang, J. and P. Munoz. 2018. \u2018DT-1\u2019, a Drought-Tolerant triploid turf bermudagrass. HortScience. 53(11):1711-1714. doi: 10.21273\/HORTSCI13083-18.<\/li>\n
  9. Zhang, J., Poudel, B., Kenworthy, K.*, J. Unruh, B., Rowland, D., Erickson, J., and Kruse, J. 2018. Drought responses of above-ground and below-groundcharacteristics in warm-season turfgrass. Journal of Agronomy and Crop Science. September.\u00a0doi.org\/10.1111\/jac.12301<\/a>.<\/li>\n
  10. Zhang, J.*, Kenworthy, K., Unruh J. B., Erickson, J. and G. MacDonald. 2017. Changes of Leaf Membrane fatty acid composition and saturation level of warm-season turfgrass during drought stress. Crop Science. 57(5):2843-2851.<\/li>\n
  11. Zhang, J., Glenn, B., Unruh, J.B.*, Kruse, J., Kenworthy, K., Erickson, J., Rowland, D. and Trenholm, L. 2017. Comparative performance and daily light integral requirement of warm-season turfgrasses in different seasons. Crop Science. 57(4):2273-2282.<\/li>\n
  12. Zhang, J., Kenworthy, K.E.*, Unruh, J.B., Poudel, B., Erickson, J., Rowland, D. and J. Kruse. 2017. Physiological responses to soil drying by warm-season turfgrass species. Crop Science. doi:10.2135\/cropsci2016.05.0316.<\/li>\n
  13. Sullivan, D., Zhang, J.*, Kowalewski, A., Peake, J., Anderson, W., Waltz, C. and B. Schwartz. 2017. Evaluating hybrid bermudagrass using spectral reflectance under different mowing heights and trinexapac-ethyl applications. Horttechnology. 27(1):45-53.<\/li>\n
  14. Zhang, J., Unruh, J.B.*, Kenworthy, K.E., Erickson, J., Christensen, C., Kruse, J., and D. Rowland. 2016. Phenotypic plasticity and turf performance of zoysiagrass in response to reduced light intensities. Crop Science. 56:1-12.<\/li>\n
  15. Zhang, J., Unruh, J.B.*, and K.E. Kenworthy. 2015. Turf performance of bahiagrass, centipedegrass, and St. Augustinegrass cultivars under a Linear Gradient Irrigation System. HortScience. 50 (3): 491-495.<\/li>\n<\/ol>\n
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