Peer-Reviewed Journal Articles

* Post-doctoral Research Associate ** Graduate Student (Chair) *** Graduate Stuent (Member)

  1. [31]. Sharma, S**., N. Rajan, S. Cui, K. Casey, S. Ale, R. Jessup and S. Maas. 2017. Seasonal variability of evapotranspiration and carbon exchanges over a biomass sorghum field in the Southern U.S. Great Plains. Biomass and Bioenergy, 105: 392-401.

  2. [30]. Glimanov, T.G., J.A. Morgan, N.P. Hanan, B.K. Wylie, N. Rajan, D.P. Smith and D.M. Howard. 2017. Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates. Rangeland Ecology & Management.

  3. [29]. Chen, Y**., S. Ale, N. Rajan and R. Srinivasan. 2017. Modeling the effects of land use change from cotton (Gossypium hirsutum L.) to perennial bioenergy grasses on watershed hydrology and water quality under changing climate. Agricultural Water Management, 192: 198-208.

  4. [28]. Chen, Y**., S. Ale, N. Rajan and C. Munster. 2017. Assessing the hydrologic and water quality impacts of biofuel-induced changes in land use and management. Global Change Biology-Bioenergy, DOI: 10.1111/gcbb.12434

  5. [27]. Modala, N. R***., S. Ale, D. W. Goldberg, M. Olivares, C. L. Munster, N. Rajan and R. A. Feagin. 2017. Climate change projections for the Texas High Plains and Rolling Plains. Theoretical and Applied Climatology, 129: 263-290. DOI 10.1007/s00704-016-1773-2..

  6. [26]. Shi, Y., J. A. Thomasson, S. C. Murray, N. A, Pugh, W. L. Rooney, S. Shafian, N. Rajan. A. Ibrahim, G. Rouze, C. L.S. Morgan, H. L. Neely, A, Rana, M. V. Bagavathiannan, J. Henrickson, E. Bowden, J. Valasek, J. Olsenholler, M. P. Bishop, R. Sheridan, E. B. Putman, S. Popescu, T. Burks, D. Cope, B. F. Mccutchen, D. D. Baltensperger, R. V. Avant, M.Vidrine, and C. Yang. 2016. Unmanned aerial vehicles for high-throughput phenotyping and agronomic research. Plos One, 10.1371/journal.pone.0159781.

  7. [25]. Chen, Y**., S. Ale and N. Rajan. 2016. Spatial variability of biofuel production potential and hydrologic fluxes of land use change from cotton (Gossypium hirsutum L.) to Alamo switchgrass (Panicum virgatum L.) in the Texas High Plains. Bioenergy Research, 9: 1126-1141. DOI:10.1007/s12155-016-9758-7.

  8. [24]. Attia, A*., and N. Rajan. 2016. Within season growth and spectral reflectance of cotton and their relation to lint yield. Crop Science, DOI:10.2135/cropsci2015.

  9. [23]. Attia, A**., N. Rajan, S. Nair, P. DeLaune, Q. Xue, A. Ibrahim, and D. Hays. 2016. Modeling cotton lint yield and water use efficiency responses to irrigation scheduling using Cotton2K. Agronomy Journal, 108:1-10. DOI:10.2134/agronj2015.0437.

  10. [22]. Attia, A**., N. Rajan, Q. Xue, A. Ibrahim, and D. Hays. 2016. Application of DSSAT-CERES-Wheat Model to Simulate Winter Wheat Response to Irrigation scheduling in the Texas High Plains. Agricultural Water Management, 165: 50-60.

  11. [21]. Adhikari, P. S. Ale, J. P. Bordovsky, K. R. Thorp, N. R. Modala, N. Rajan and E. M. Barnes. 2016. Simulating future climate change impacts on seed cotton yields in the Texas High Plains using the CSM-CROPGRO-cotton model. Agricultural Water Management, 164: 317-330.

  12. [20]. Chen, Y**., S. Ale, N. Rajan, C. L. S. Morgan and J. Park. 2015. Hydrological responses of land use change from upland cotton to cellulosic bioenergy crops in the southern High Plains of Texas. Global Change Biology- Bioenergy, 8: 981-999. DOI: 10.1111/gcbb.12304.

  13. [19]. Attia, A**., N. Rajan, G. Ritchie, S. Cui, A. Ibrahim, D. Hays, Q. Xue, and J. Wilborn. 2015. Yield, Quality, and Spectral Reflectance Responses of Cotton under Sub-Surface Irrigation. Agronomy Journal, 107: 1355-1364.

  14. [18]. Rajan, N., S. J. Maas, R. Kellison, M. Dollar, S. Cui, S. Sharma, and A. Attia. 2015. Emitter Uniformity and Application Efficiency for Center-pivot Irrigation Systems. Irrigation and Drainage, 64(3): 353-361.

  15. [17]. Modala, R***., S. Ale, N. Rajan, C. Munster, P. DeLaune, K. Thorp, S. Nair, and E. Barnes. 2015. Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency. Transactions of ASABE, 58(3): 685-696.

  16. [16]. Sharma**, B., G. L. Ritchie and N. Rajan. 2015. Near-Remote Green: Red PVI Ground Cover Fraction Estimation. Crop Science, 55:1-10.

  17. [15]. Govind, A., S. Cowling, J. Kumari, N. Rajan, and A. A. Yaari. 2015. Distributed Modeling of Ecohydrological Processes at High Spatial Resolution Over a Landscape having Patches of Managed Forest Stands and Crop Fields in SW Europe. Ecological Modelling, 297: 126-140.

  18. [14]. Rajan, N., S. Maas, and S. Cui. 2014. Extreme drought effects on evapotranspiration and energy balance of a pasture in the Southern Great High Plains. Ecohydrology, DOI: 10.1002/eco.1574.

  19. [13]. Rajan, N and S. Maas. 2014. Spectral crop coefficient for estimating crop water use. Advances in Remote Sensing, 3(3):197-207.

  20. [12]. Rajan, N., N. Puppala, S. Maas, P. Payton, and R. Nuti. 2014. Aerial remote sensing of peanut ground cover. Agronomy Journal 106(4): 1358-1364.

  21. [11]. Thorp, K. R., S. Ale, M. Bange, E. Barnes, G. Hoogenboom, R. Lascano, A. McCarthy, S. Nair, J. Paz, N. Rajan, R. Reddy, G. Wall, and J. White. 2014. Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions. Journal of Cotton Science 18: 10-47

  22. [10]. Cui, S*., N. Rajan, S. J. Maas and E. Youn. 2014. An automated soil line identification method using relevance vector machine. Remote Sensing Letters 5: 205-212

  23. [9]. Rajan, N., S. J. Maas and S. Cui. 2013. Extreme drought effects on carbon dynamics of a semi-arid pasture. Agronomy Journal 105(6): 1749-1760.

  24. [8]. Chen, Y., W. Hu, B. Huang, D. C. Weindorf, N. Rajan, X. Liu and S. Niedermann. 2013. Accumulation and health risk of heavy metals in vegetables from harmless and organic vegetable production systems of China. Ecotoxicology and Environmental Safety, 98: 324-330.

  25. [7]. Snowden, C., J. Cave, W. Keeling, N. Rajan and G.L. Ritchie. 2013. Boll distribution effects on yield and micronaire under multiple irrigation levels. Agronomy Journal 105(6): 1536-1544.

  26. [6]. Padilla, F.L.M., S. J. Maas, M. P. Gonzales-Dugo, N. Rajan, F. Mansilla, P. Gavilan and J. Dominguez. 2012. Wheat yield monitoring in Southern Spain using the GRAMI model and a series of satellite images. Field Crops Research 139(29): 145-154.

  27. [5]. Chaudhuri, S., S. Ale., P. DeLaune and N. Rajan. 2012. Spatio-temporal Variability of Groundwater Nitrate Concentration in Texas: 1960-2010. Journal of Environmental Quality 41(6): 1806-1817.

  28. [4]. Rajan, N., S. J. Maas, and J. C. Kathilankal. 2010. Estimating crop water use of cotton in the Southern High Plains. Agronomy Journal 102(4): 1641-1651.

  29. [3]. Maas, S. J., and N. Rajan. 2010. Normalizing and converting image DC data using scatter plot matching. Remote sensing. 2(7): 1644-1661.

  30. [2]. Rajan, N., and S. J. Maas. 2009. Mapping crop ground cover using airborne multispectral digital imagery. Precision Agriculture 10(4): 304-318.

  31. [1]. Maas, S. J., and N. Rajan. 2008. Estimating ground cover of field crops using medium-resolution multispectral satellite imagery. Agronomy Journal 100(2): 320-327.

Book Chapter

  1. Guo, W., S. Cui, J. Torrion and N. Rajan. 2015. Data-Driven Precision Agriculture: Opportunities and Challenges. In Soil-Specific Farming: Precision Agriculture; Edited by Rattan Lal and B. A. Stewart. CRC Press 2015; Pages 353–372. DOI: 10.1201/b18759-15