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.

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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

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article

IoT and UAV imaging for indoor plant disease detection

Tanvir Hossain, Irene Cheng, Maksym Lishchynskyi
Smart Agriculture and AI
article

IoT and UAV imaging for indoor plant disease detection

Tanvir Hossain, Irene Cheng, Maksym Lishchynskyi
article en

Abstract

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.

University of Alberta (CA)
Natural Sciences and Engineering Research Council of Canada
Zero hunger
Openalex Percentile: Top 86%
Smart Agriculture and AI
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IoT and UAV imaging for indoor plant disease detection — Tanvir Hossain, Irene Cheng, et al. · (2024) | TGRS Research Map | TGRS