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SiloMAS: A MAS for Smart Silos to Optimize Food and Water Consumption on Livestock Holdings

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Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference (DCAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 802))

Abstract

A few years ago, hitting the silo container from the outside was the only way of knowing whether it had to be refilled with feed or water. However, current advances make it possible to develop more evolved mechanisms that not only allow the farmer to know if it is necessary to fill the silo with feed but give a precise estimate of the quantity of feed or water remaining in the silo and information on other parameters that help control the quality of the feed. To this end, it is necessary to design a device that will be placed on the inside of the silo and will detect if there is feed and how much of it by means of a sensor with ultrasonic technology. The prototype includes several motion engines which perform a complete sweep for the calculation of volume; this is important as each type of feed has a different density. In addition, the development of such a system will make it possible to optimize the delivery of feed to livestock holdings through route planning for the truck, for example, in cases where two nearby farms are short of supply.

For this purpose, we have developed a system that incorporates an IoT device with a laser for calculating the volume of feed inside a silo. In addition, this system includes a series of sensors that can monitor temperature and humidity. Thus, the owners obtain more information from which they can draw conclusions about the conservation of the feed and about its general exploitation. Furthermore, it is possible to understand to what extent the cold and humidity affect animals and their consumption of the feed. This research work describes the evaluation of the developed prototype in several independent silos on the Hermi Group’s farm (Salamanca) and outlines the obtained results.

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Acknowledgements

This work has been partially supported by the Agreement between the Agricultural Technology Institute of Castile and León, Hermi Gestión, S.L., and the University of Salamanca to conduct research activities for the development of a farm 4.0 model in the rabbit meat production sector.

Author information

Authors and Affiliations

  1. BISITE Research Group, University of Salamanca, Edificio I+D+i, Calle Espejo 2, 37007, Salamanca, Spain

    Sergio Marquez, Roberto Casado-Vara, Alfonso González-Briones, Javier Prieto & Juan M. Corchado

  2. Air Institute, IoT Digital Innovation Hub, Carbajosa de la Sagrada, 37188, Salamanca, Spain

    Alfonso González-Briones & Juan M. Corchado

  3. Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, 535-8585, Japan

    Juan M. Corchado

  4. Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, 16100, Kota Bharu, Kelantan, Malaysia

    Juan M. Corchado

Authors
  1. Sergio Marquez
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  2. Roberto Casado-Vara
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  3. Alfonso González-Briones
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  4. Javier Prieto
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  5. Juan M. Corchado
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Corresponding author

Correspondence to Alfonso González-Briones .

Editor information

Editors and Affiliations

  1. Hiroshima University, East-Hiroshima, Japan

    Sigeru Omatu

  2. Department of Software Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

    Mohd Saberi Mohamad

  3. Departamento de Informatica, Universidade do Minho, Braga, Portugal

    Paulo Novais

  4. Department of Computer Science, School of Science , University of Salamanca , Madrid, Madrid, Spain

    Enrique Díaz-Plaza Sanz

  5. Department of Computer Science, University of Salamanca, Salamanca, Spain

    José Alberto García Coria

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Marquez, S., Casado-Vara, R., González-Briones, A., Prieto, J., Corchado, J.M. (2020). SiloMAS: A MAS for Smart Silos to Optimize Food and Water Consumption on Livestock Holdings. In: Omatu, S., Mohamad, M., Novais, P., Díaz-Plaza Sanz, E., García Coria, J. (eds) Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 802. Springer, Cham. https://doi.org/10.1007/978-3-030-00524-5_6

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