Title
FruGar: Exploiting Deep Learning and Crowdsourcing for Frugal Gardening
Abstract
To make smart cities more sustainable, and technologies and smart services accessible to a broader range of people, the frugal innovation paradigm comes in handy. In such a scenario, an interesting issue to investigate is gardening (both home and community gardening), considered a possibility toward sustainable development and environmental resilience. Following this line of thought, in this paper, we present our system, called FruGar (frugal gardening), designed and developed to facilitate casual citizens while gardening. In particular, our approach takes advantage of machine learning and crowdsourcing to provide casual citizens with a frugal tool for plant disease detection.
Year
DOI
Venue
2020
10.1145/3410670.3410862
MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking London United Kingdom September, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-8078-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Chiara Ceccarini113.73
Giovanni Delnevo21012.81
Catia Prandi315534.78