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Artificial intelligence: prototype of an automated irrigation system for the cultivation of roses in Cotopaxi

By
Manuel William Villa Quisphe ,
Manuel William Villa Quisphe

Universidad Técnica de Cotopaxi. Cotopaxi-Ecuador

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José Augusto Cadena Moreano ,
José Augusto Cadena Moreano

Universidad Técnica de Cotopaxi. Cotopaxi-Ecuador

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Juan Carlos Chancusig Chisag ,
Juan Carlos Chancusig Chisag

Universidad Técnica de Cotopaxi. Cotopaxi-Ecuador

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Abstract

Implementing artificial intelligence in agriculture can improve efficiency, reduce pollution, and promote more effective agricultural production. Efficient irrigation management avoids wasting water and ensures that plants receive the right amount of water at the right time. The purpose of this research is to present an intelligent irrigation system based on neural networks and fuzzy logic, to avoid the presence of pests due to excess relative humidity in rose crops in Cotopaxi. A mixed methodology was used. The SCRUM methodology, Android Studio as an integrated development environment, a relational database management system and the Mobile-D method were used as software elements. For the prototype construction, the main hardware element that was used was the Arduino Board. The system for irrigating automated water using fuzzy logic took less time than manual irrigation. Training actions were proposed for employers and employees in the use and maintenance of the automated irrigation system, to maintain continuous improvement in the process

How to Cite

1.
Villa Quisphe MW, Cadena Moreano JA, Chancusig Chisag JC. Artificial intelligence: prototype of an automated irrigation system for the cultivation of roses in Cotopaxi. Data and Metadata [Internet]. 2024 Jun. 30 [cited 2024 Jul. 15];3:398. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/398

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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