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Title |
Autonomic Model for Irrigation Control |
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Author |
Michael Douglas Oliveira, Jos? Mendes de Menezes, Ram?sio Ferreira de Melo, Rog?rio Pereira de Sousa, Josenilson Dias Ara?jo |
| Citation |
Vol. 15 No. 4 pp. 31-39 |
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Abstract |
With the need of preserving water resources and the growing demand for food, new technologies and methods arise in trying to deal with these problems, and sustainable irrigation is one of these possibilities. Thus the Autonomic Computing can be used for automating irrigation processes, enabling the use of self-manageable systems where the behavior occurs in parallel with the environment, that is, their analysis and actions are adaptable and flexible according to the needs and characteristics of the environment. In this paper we propose a model for autonomic irrigation control that aims to provide a service to producers, seeking for a better performance in the food irrigation process. The proposed model uses the characteristics of autonomic computing, being able to identify and analyze the environmental parameters such as ambient temperature, humidity and soil moisture, determining the right time to irrigation and the volume of water that the plant and soil will need. This can allow a reduction in water consumption and a better utilization of the plant. A new parameter is expected to be reached through the water use system in agricultural production, minimizing any waste of water resources such as springs, rivers, lakes, reservoirs and dams besides, providing the optimization for plant development and the maintenance of soil. The aim of the prototype is to provide a resource to the small, medium and large producers, given the specificities of each. It can be accessible and of easy installation field, as well as being autonomous, controlling all the steps necessary to irrigate the crop. |
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Keywords |
Autonomic Computing, Irrigation, Sustainability. |
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