Artificial intelligence approach to estimating rice yield*-Reference-Cited by-同舟云学术

Artificial intelligence approach to estimating rice yield*

Published:2021-01-14 Issue:4 Volume:70 Page:732-742
ISSN:1531-0353
Container-title:Irrigation and Drainage
language:en
Short-container-title:Irrig. and Drain.

Author:

Babaee Maryam¹,Maroufpoor Saman²,Jalali Mohammadnabi¹,Zarei Manizhe²,Elbeltagi Ahmed³

Affiliation:

1. Department of Water Engineering, Aburaihan Campus University of Tehran Iran

2. Department of Irrigation and Reclamation Engineering University of Tehran Tehran Iran

3. Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura; Egypt and College of Environmental and Resource Sciences Zhejiang University Hangzhou China

Publisher

Wiley

Subject

Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ird.2566

Reference45 articles.

1. Application of Artificial Neural Network for Predicting Maize Production in South Africa

2. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

3. Artificial Neural Network to Estimate the Paddy Yield Prediction Using Climatic Data

4. Bakhshoodeh M.andSoltani G. R. (2002)Rice market liberalization in Iran: welfare and poverty in Iran: Working Paper 0231 Economic Research Forum.

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