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Communication Dans Un Congrès Année : 2016

A Multi-Agent Architecture for Quantified Fruits: Design and Experience

Résumé

The concept of Quantified Self is about connected objects self-monitoring their human owner (e.g., a watch measuring heart rate, etc.). A natural transposition is in self-monitoring arbitrary things, therefore named Quantified Things. In this paper, we present the case of self-monitoring agricultural products. We discuss the rationales for the design of a Quantified Fruit multi-agent architecture for self-monitoring and self-prediction of the maturation of fruits. The architecture includes 6 different types of agents, the 2 more specific ones being respectively, the self-controller equipped with various sensors and the self-prediction module. Our current implementation uses an Arduino microcontroller board with 5 sensors (measuring respectively: temperature, light, humidity, hydrogen and methane). The prediction module uses a neural network. We have implemented the architecture and have conducted various experiments, storing bananas in diverse settings: room, refrigerator, in a box, with other fruits, etc. The paper discusses the architecture, its current implementation, experiments and current results. Future issues (scalability, collaborative prediction, etc.) are also addressed.
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Dates et versions

hal-01312738 , version 1 (08-05-2016)

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Jean-Pierre Briot, Nathalia Moraes de Nascimento, Carlos José Pereira de Lucena. A Multi-Agent Architecture for Quantified Fruits: Design and Experience. 28th International Conference on Software Engineering & Knowledge Engineering (SEKE'2016), Jul 2016, Redwood City, CA, United States. pp.369-374, ⟨10.18293/SEKE2016-102⟩. ⟨hal-01312738⟩
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