Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt-Reference-Cited by-同舟云学术

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Modeling monthly crop coefficients of maize based on limited meteorological data: A case study in Nile Delta, Egypt

Published:2020-06 Issue: Volume:173 Page:105368
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Elbeltagi Ahmed,Zhang Linjing,Deng Jinsong,Juma Adam,Wang Ke

Funder

Zhejiang Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference39 articles.

1. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015;Abatzoglou;Sci. Data,2018

2. Evaluation of growth-stage-specific crop coefficients of maize using weighing lysimeter;Abedinpour;Soil Water Res.,2015

3. Determination of crop coefficients of maize for the estimation of crop water use;Adeogun;Cont. J. Eng. Sci.,2013

4. Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling;Adeyemi;Sensors (Switzerland),2018

5. Application of artificial neural network for predicting maize production in South Africa;Adisa;Sustain.,2019

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