Grapevine crop evapotranspiration and crop coefficient forecasting using linear and non-linear multiple regression models

Author:

Ohana-Levi Noa,Ben-Gal Alon,Munitz Sarel,Netzer Yishai

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference58 articles.

1. Rainfall forecasting using soft computing models and multivariate adaptive regression splines;Abraham;IEEE SMC Trans.,2001

2. Artificial neural network-genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran;Aghajanloo;Neural Comput. Appl.,2013

3. Crop coefficients;Allen,2003

4. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56;Allen,1998

5. Distribution of residual autocorrelations in autoregressive-integrated moving average time series models;Box;J. Am. Stat. Assoc.,1970

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