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Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   AUGUST-SEPTEMBER 2017 , Volume 31 , Number 3 ; Page(s) 715 To 726.
 
Paper: 

PREDICTION OF IRRIGATED WHEAT YIELD BY USING HYBRID ALGORITHM METHODS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM

 
 
Author(s):  BARIKLOO A., ALAMDARI P.*, MORAVEJ K., SERVATI M.
 
* SOIL SCIENCE DEPARTMENT, FACULTY OF AGRICULTURE, UNIVERSITY OF ZANJAN
 
Abstract: 

Introduction: In recent decades, the most important issue for agricultural activities is maximizing the productions. Today, wheat is grown on more lands than any other commercial crops and continues to be the most important food grain source for humans. Sustainable agriculture is a scientific activity based on ecological principles with focus on achieving sustainable production. It requires a full understanding of the relationships between crop production with soil and land characteristics. …

 
Keyword(s): HARD AND READILY MEASURED PROPERTIES, MANAGEMENT, MODELLING, SUSTAINABLE AGRICULTURE
 
 
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Click to Cite.
APA: Copy

BARIKLOO, A., & Alamdari, P., & MORAVEJ, K., & SERVATI, M. (2017). PREDICTION OF IRRIGATED WHEAT YIELD BY USING HYBRID ALGORITHM METHODS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 31(3 ), 715-726. https://www.sid.ir/en/journal/ViewPaper.aspx?id=570601



Vancouver: Copy

BARIKLOO A., Alamdari P., MORAVEJ K., SERVATI M.. PREDICTION OF IRRIGATED WHEAT YIELD BY USING HYBRID ALGORITHM METHODS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY). 2017 [cited 2021May09];31(3 ):715-726. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570601



IEEE: Copy

BARIKLOO, A., Alamdari, P., MORAVEJ, K., SERVATI, M., 2017. PREDICTION OF IRRIGATED WHEAT YIELD BY USING HYBRID ALGORITHM METHODS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), [online] 31(3 ), pp.715-726. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570601.



 
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