IoT and UAV imaging for indoor plant disease detection
One of the key food supply factors is a collective effort to produce, maintain, and consume homegrown vegetables. However, like any home plant or a food source, an organism may suffer from disease-related problems and lack of maintenance, e.g., being away for holidays. Therefore we design a system to maintain stable micro-climate parameters around the plant and to obtain its health information using Unmanned Aerial Vehicle (UAV) imaging and a mobile app for remote monitoring. We have created and evaluated an Artificial intelligence (AI) model for an autonomous indoor drone to detect and inspect plants which does not require a predefined layout within the household.
Authors
- Tanvir Hossain (ORCID: https://orcid.org/0000-0002-7282-5808)
- Irene Cheng
- Maksym Lishchynskyi
Institutions
- University of Alberta (CA)
Publication Details
- Published
- 2024-11-10
- DOI
- https://doi.org/10.1109/wf-iot62078.2024.10811379
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Sciences and Engineering Research Council of Canada