Water usage optimization of smart farm automated irrigation system using artificial neural network

Authors

John R. Dela Cruz, De La Salle University, Manila
Renann G. Baldovino, De La Salle University, Manila
Argel A. Bandala, De La Salle University, Manila
Elmer P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

2017 5th International Conference on Information and Communication Technology, ICoIC7 2017

Publication Date

11-18-2017

Abstract

Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it to the proposed Smart Farm Automated Irrigation System (SFAIS) by implementing an expert system. Simulations were done using the MATLAB Neural Network toolbox and results show that neural network is a useful tool. © 2017 IEEE.

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Digitial Object Identifier (DOI)

10.1109/ICoICT.2017.8074668

Recommended Citation

Dela Cruz, J. R., Baldovino, R. G., Bandala, A. A., & Dadios, E. P. (2017). Water usage optimization of smart farm automated irrigation system using artificial neural network. 2017 5th International Conference on Information and Communication Technology, ICoIC7 2017 https://doi.org/10.1109/ICoICT.2017.8074668

Disciplines

Manufacturing | Mechanical Engineering

Keywords

Irrigation efficiency; Water efficiency; Neural networks (Computer science)

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