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An integrated crop and hydrologic modeling system to estimate hydrologic impacts of crop irrigation demands.

, , , , , , , , , and . Environ. Model. Softw., (2015)

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START: A data preparation tool for crop simulation models using web-based soil databases., , , , and . Comput. Electron. Agric., (2018)Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks., , , and . Neural Comput. Appl., 20 (1): 151-159 (2011)Analysis and classification of data sets for calibration and validation of agro-ecosystem models., , , , , , , , , and 5 other author(s). Environ. Model. Softw., (2015)An integrated crop and hydrologic modeling system to estimate hydrologic impacts of crop irrigation demands., , , , , , , , , and . Environ. Model. Softw., (2015)Agricultural production systems modelling and software: Current status and future prospects., , , , , , , and . Environ. Model. Softw., (2015)Aflatoxin Prediction Using a GA Trained Neural Network., , , and . FLAIRS, page 110-114. AAAI Press, (1998)Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application., , , , , , , and . Comput. Electron. Agric., (2016)Assessment of nine gridded temperature data for modeling of wheat production systems., , , and . Comput. Electron. Agric., (2022)Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards, , , , , , , , and . Computers and Electronics in Agriculture, (August 2013)Comparison of individual and combined ANN models for prediction of air and dew point temperature., , , and . Appl. Intell., 39 (2): 354-366 (2013)