基于人工神经网络的智能农场自动灌溉系统用水优化

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI:10.1109/ICOICT.2017.8074668

John R. dela Cruz, R. Baldovino, A. Bandala, E. Dadios

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引用次数: 31

摘要

有限的水资源已成为农业生产中需要考虑的主要制约因素。对其进行优化已成为精准农业研究的热点之一。在本文中，研究人员利用神经网络通过实施专家系统将其纳入拟议的智能农场自动灌溉系统(SFAIS)来优化智能农场的用水。利用MATLAB神经网络工具箱进行了仿真，结果表明神经网络是一种有用的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Water usage optimization of Smart Farm Automated Irrigation System using artificial neural network

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.

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2017 5th International Conference on Information and Communication Technology (ICoIC7)

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