Abstract
Smart farming solutions seek to help farmers in their daily activities. Their use has shown that it is beneficial for farmers to be aware of the distinct variables affecting the production. For this reason, having alerts and notifications in monitoring and control platforms is crucial. However, in some circumstances, farmers cannot attend to the messages delivered through traditional mechanisms, making it impossible for them to be informed at the right moment. In this paper, we present the design evaluation of an intelligent context-aware smart notifications system for precision agriculture. We consider using distinct notification mechanisms to improve the delivery of notifications to the farmers. We carry out an anticipated user experience evaluation to assess the system’s design and validate the use of the notification mechanisms in distinct scenarios. A total of 48 potential users from Spain and Costa Rica participated in the evaluation. The results show that our proposed system can be very helpful in supporting farmers to be aware of the state of crops. In addition, non-traditional notification mechanisms can potentially keep the farmers informed without affecting their daily activities. Costa Rican potential users value the system’s novelty more than Spanish users.
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Acknowledgements
This work was partially supported by the Research Center for Communication and Information Technologies (CITIC) and the School of Computer Science and Informatics (ECCI) at the University of Costa Rica, Research Project No. 834-B9-189. This work was financially supported by the University of Alicante (grant number VIGROB20-072) and the Valencian Innovation Agency (grant number AVI1-21T).
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Brenes, J.A., Ferrández Pastor, F.J., López, G., Marín-Raventós, G. (2023). Designing a Context-Aware Smart Notifications System for Precision Agriculture. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_82
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