| Unmanned aerial vehicles for high-throughput phenotyping and agronomic research Y Shi, JA Thomasson, SC Murray, NA Pugh, WL Rooney, S Shafian, ... PloS one 11 (7), e0159781, 2016 | 431 | 2016 |
| Application of DSSAT-CERES-Wheat model to simulate winter wheat response to irrigation management in the Texas High Plains A Attia, N Rajan, Q Xue, S Nair, A Ibrahim, D Hays Agricultural Water Management 165, 50-60, 2016 | 152 | 2016 |
| Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development S Sanaz, R Nithya, S ,Ronnie, B Muthukumar, V John, S Yeyin, O Jeff PLoS ONE, 2018 | 135 | 2018 |
| Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model P Adhikari, S Ale, JP Bordovsky, KR Thorp, NR Modala, N Rajan, ... Agricultural Water Management 164, 317-330, 2016 | 124 | 2016 |
| Accumulation and health risk of heavy metals in vegetables from harmless and organic vegetable production systems of China Y Chen, W Hu, B Huang, DC Weindorf, N Rajan, X Liu, S Niedermann Ecotoxicology and environmental safety 98, 324-330, 2013 | 120 | 2013 |
| Development and application of process-based simulation models for cotton production: A review of past, present, and future directions KR Thorp, S Ale, MP Bange, EM Barnes, G Hoogenboom, RJ Lascano, ... Journal of Cotton Science 18 (1), 10-47, 2014 | 114 | 2014 |
| Multiple irrigation levels affect boll distribution, yield, and fiber micronaire in cotton C Snowden, G Ritchie, J Cave, W Keeling, N Rajan Agronomy Journal 105 (6), 1536-1544, 2013 | 99 | 2013 |
| Monitoring regional wheat yield in Southern Spain using the GRAMI model and satellite imagery FLM Padilla, SJ Maas, MP González-Dugo, F Mansilla, N Rajan, ... Field Crops Research 130, 145-154, 2012 | 77 | 2012 |
| Climate change projections for the Texas high plains and rolling plains NR Modala, S Ale, DW Goldberg, M Olivares, CL Munster, N Rajan, ... Theoretical and Applied Climatology 129, 263-280, 2017 | 69 | 2017 |
| Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV) M Bhandari, AMH Ibrahim, Q Xue, J Jung, A Chang, JC Rudd, M Maeda, ... Computers and Electronics in Agriculture 176, 105665, 2020 | 65 | 2020 |
| Evaluation of the CSM-CROPGRO-Cotton model for the Texas rolling plains region and simulation of deficit irrigation strategies for increasing water use efficiency NR Modala, S Ale, N Rajan, CL Munster, PB DeLaune, KR Thorp, SS Nair, ... Transactions of the ASABE 58 (3), 685-696, 2015 | 65 | 2015 |
| Unmanned aircraft systems for precision weed detection and management: Prospects and challenges V Singh, A Rana, M Bishop, AM Filippi, D Cope, N Rajan, ... Advances in Agronomy 159, 93-134, 2020 | 59 | 2020 |
| Spatio-temporal variability of groundwater nitrate concentration in Texas: 1960 to 2010 S Chaudhuri, S Ale, P DeLaune, N Rajan Journal of environmental quality 41 (6), 1806-1817, 2012 | 49 | 2012 |
| Emitter Uniformity and Application Efficiency for Centre‐Pivot Irrigation Systems N Rajan, S Maas, R Kellison, M Dollar, S Cui, S Sharma, A Attia Irrigation and drainage 64 (3), 353-361, 2015 | 48 | 2015 |
| Estimating ground cover of field crops using medium-resolution multispectral satellite imagery SJ Maas, N Rajan Agronomy Journal 100 (2), 320-327, 2008 | 44 | 2008 |
| Estimating crop water use of cotton in the Texas High Plains N Rajan, SJ Maas, JC Kathilankal Agronomy journal 102 (6), 1641-1651, 2010 | 43 | 2010 |
| Extreme drought effects on carbon dynamics of a semiarid pasture N Rajan, SJ Maas, S Cui Agronomy Journal 105 (6), 1749-1760, 2013 | 42 | 2013 |
| Extreme drought effects on summer evapotranspiration and energy balance of a grassland in the Southern Great Plains N Rajan, SJ Maas, S Cui Ecohydrology 8 (7), 1194-1204, 2015 | 37 | 2015 |
| Modeling evapotranspiration for irrigation water management in a humid climate SS Anapalli, DK Fisher, KN Reddy, N Rajan, SR Pinnamaneni Agricultural Water Management 225, 105731, 2019 | 36 | 2019 |
| Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton BB Sapkota, S Popescu, N Rajan, RG Leon, C Reberg-Horton, S Mirsky, ... Scientific Reports 12 (1), 19580, 2022 | 35 | 2022 |
Srinivasulu AleProfessor of Agrohydrology, Texas A&M AgriLife Research, Vernon, TXDirección de correo verificada de ag.tamu.edu
