Irrigation system for oil palm in Colombia - an internet of things approach
Abstract
In this article, we show a prototype of an irrigation system for oil palm plantations in Colombia. We make use of a predictive control model to improve the irrigation schedule. This model takes weather predictions from the Internet and uses them in the control model as a new variable to take into account when it comes to deciding whether the crops should be irrigated or not. A soil moisture sensor is used to both validate if the decision was correct and maintain the crop within the desired range of soil moisture. With this work, we want to give farmers the opportunity to embrace the Internet of Things (IoT) as a technology that can make their job easier and with better productivity in their plantations. © 2017, Springer International Publishing AG.
Acknowledgment. The authors would like to acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiación en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnologías de la Información y las Comunicaciones - MinTIC) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnología e Innovación - Colciencias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología y la Innovación Francisco Joséde Caldas (Project ID: FP44842-502-2015).
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
