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.