Author details

5. Conclusions

ment strategies, and hardware control.

Acknowledgements

Conflict of interest

48

ship to the corresponding author.

The authors declare no conflict of interest.

The fuzzy control system for irrigation developed is original and ground breaking, and there is no literature about a rotation speed control map for center pivot in the same approach presented in this work. In addition, there is no available information that commercial systems can build this type of map autonomously.

The experiments point to the efficiency result for pivot operation, since it is possible to note differences between the speeds per management zone that could be employed in the pivot. The system follows the definition of variable rate irrigation,

These studies were motivated by a broader research effort on the applications of

The authors thank the Federal Institute of Education, Science and Technology of Mato Grosso—IFMT—for the financial support, and to the Post-Graduation Program in Electrical and Computer Engineering of the Federal University of Rio Grande do Norte—PPGEEC/UFRN—for the technical and administrative support. Finally, we thank the Coordination of Improvement of Higher Education Personnel —Ministry of Education (Capes—MEC) for granting the PRODOUTORAL scholar-

fuzzy systems in agriculture. In addition, fuzzy control applied in variable rate irrigation (VRI) was explored in this domain in order to provide a better understanding of the relation between agricultural factors involving complexity and uncertainty and solutions with A.I. technologies. Future development and application of these methodologies in agricultural engineering are required especially in the context of decision support in precision irrigation. The results are favorable to the continuity of the studies on precision irrigation and application of the fuzzy logic

for the development of control maps for central pivots irrigation systems.

since when changing the speed, the amount of water applied also changes. In this context, it was observed that the fuzzy logic can be widely used in farming, and it is feasible to aggregate precision irrigation knowledge with the formulation of a decision support system. The implementation was successful for the application of variable rate water to central pivots. However, a broader commercial application depends on the integration of data collection systems, manage-

Irrigation - Water Productivity and Operation, Sustainability and Climate Change

Willians Ribeiro Mendes<sup>1</sup> \*, Fábio Meneghetti U. Araújo<sup>2</sup> and Salah Er-Raki3,4

1 Control Engineering and Automation Department, Federal Institute of Education, Science and Technology of Mato Grosso—IFMT, Mato Grosso, Brazil

2 Computer Engineering and Automation Department, Federal University of Rio Grande do Norte, University Campus Lagoa Nova, Natal, Rio Grande do Norte, Brazil

3 LP2M2E, Département de Physique Appliquée, Faculté des Sciences et Senvolvimen Techniques, Université Cadi Ayyad, Marrakech, Morocco

4 Center for Remote Sensing Application (CRSA), University Mohammed VI Polytechnic (UM6P), Benguerir, Morocco

\*Address all correspondence to: willians.mendes@pdl.ifmt.edu.br

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
