Prediction of the future impact of climate change on reference evapotranspiration in Cyprus using artificial neural network

Author:

Abdullahi Jazuli,Elkiran Gozen

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Determination of Crop Water Requirements of Maize in Nigeria by using FAO CROPWAT 8.0;Abdullahi;International Multilingual Academic Journal,2016

2. Allen, R. G., Pereira, L. S., Raes, D., Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9), D05109.

3. FAO., 2017. http://www.fao.org/home/en/ Retrieved 26-04-2017.

4. Soft Computing Approaches for Forecasting Reference Evapotranspiration;Gocić;Computers and Electronics in Agriculture,2015

5. Google map., 2017a. Girne region. Retrieve Saturday April 29th, 2017. https://www.google.com/maps/place/Girne/@35.3289133,33.2777784,13z/data=!3m1!4b1!4m5!3m4!1s0x14de134c8dbd838b:0xea57cce4a86ef5eb!8m2!3d35.3237104!4d33.3149413.

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