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Field test of a soil water balance simulation model

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  • Panigrahi, B.
  • Panda, Sudhindra N.

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  • Panigrahi, B. & Panda, Sudhindra N., 2003. "Field test of a soil water balance simulation model," Agricultural Water Management, Elsevier, vol. 58(3), pages 223-240, February.
    • Handle: RePEc:eee:agiwat:v:58:y:2003:i:3:p:223-240
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    1. George, B. A. & Shende, S. A. & Raghuwanshi, N. S., 2000. "Development and testing of an irrigation scheduling model," Agricultural Water Management, Elsevier, vol. 46(2), pages 121-136, December.
    2. Hajilal, M. S. & Rao, N. H. & Sarma, P. B. S., 1998. "Planning intraseasonal water requirements in irrigation projects," Agricultural Water Management, Elsevier, vol. 37(2), pages 163-182, July.
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    1. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo & Nyagumbo, Isaiah, 2014. "Infiltration and planting pits for improved water management and maize yield in semi-arid Zimbabwe," Agricultural Water Management, Elsevier, vol. 141(C), pages 30-46.
    2. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
    3. Mastrocicco, M. & Colombani, N. & Salemi, E. & Castaldelli, G., 2010. "Numerical assessment of effective evapotranspiration from maize plots to estimate groundwater recharge in lowlands," Agricultural Water Management, Elsevier, vol. 97(9), pages 1389-1398, September.
    4. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    5. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & García-Mateos, G., 2015. "Methodology for obtaining prediction models of the root depth of lettuce for its application in irrigation automation," Agricultural Water Management, Elsevier, vol. 151(C), pages 167-173.
    6. Mao, Wei & Yang, Jinzhong & Zhu, Yan & Ye, Ming & Wu, Jingwei, 2017. "Loosely coupled SaltMod for simulating groundwater and salt dynamics under well-canal conjunctive irrigation in semi-arid areas," Agricultural Water Management, Elsevier, vol. 192(C), pages 209-220.
    7. Ji, Xi-Bin & Kang, Er-Si & Chen, Ren-Sheng & Zhao, Wen-Zhi & Zhang, Zhi-Hui & Jin, Bo-Wen, 2007. "A mathematical model for simulating water balances in cropped sandy soil with conventional flood irrigation applied," Agricultural Water Management, Elsevier, vol. 87(3), pages 337-346, February.
    8. Liu, Wei & Fu, Qiang & Meng, Jun & Li, Tianxiao & Cheng, Kun, 2019. "Simulation and analysis of return flow at the field scale in the northern rice irrigation area of China," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    9. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    10. Ma, Ying & Feng, Shaoyuan & Song, Xianfang, 2013. "A root zone model for estimating soil water balance and crop yield responses to deficit irrigation in the North China Plain," Agricultural Water Management, Elsevier, vol. 127(C), pages 13-24.
    11. Nishat, S. & Guo, Y. & Baetz, B.W., 2007. "Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 53-63, August.
    12. Jianqiang Deng & Xiaomin Chen & Zhenjie Du & Yong Zhang, 2011. "Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2823-2836, September.
    13. Hong, Eun-Mi & Nam, Won-Ho & Choi, Jin-Yong & Pachepsky, Yakov A., 2016. "Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea," Agricultural Water Management, Elsevier, vol. 165(C), pages 163-180.
    14. Mandal, Uttam Kumar & Victor, U.S. & Srivastava, N.N. & Sharma, K.L. & Ramesh, V. & Vanaja, M. & Korwar, G.R. & Ramakrishna, Y.S., 2007. "Estimating yield of sorghum using root zone water balance model and spectral characteristics of crop in a dryland Alfisol," Agricultural Water Management, Elsevier, vol. 87(3), pages 315-327, February.
    15. Leonardo D. Garcia & Camilo Lozoya & Antonio Favela-Contreras & Emanuele Giorgi, 2023. "A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    16. Liu, Y. & Pereira, L.S. & Fernando, R.M., 2006. "Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 27-40, July.

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