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Environmental monitoring and disease detection of plants in smart greenhouse using Internet of Things

Khan, Fazeel Ahmed and Ibrahim, Adamu Abubakar and Zeki, Akram M. (2020) Environmental monitoring and disease detection of plants in smart greenhouse using Internet of Things. Journal of Physics Communications, xx (xx). pp. 1-12. ISSN 2399-6528 (In Press)

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Abstract

This research implements the idea of automation using Internet of Things (IoT) in a greenhouse environment. The development is focuses on deployment of agicultural greenhouses into small-scale level transforming it into a smart greenhouse. They are to help in monitoring the greenhouse environment conditions, water irrigation management, image collection using installed cameras as well as predicting diseases in the plants on collected leaf datasets. This research focus on development for the purpose of validating a proposed system design and architecture for a suitable IoT based monitoring for environment conditions, managing water irrigation system and a effective method for detecting leaf diseases on the plants inside a greenhouse environment.

Item Type: Article (Journal)
Additional Information: 7132/80376
Uncontrolled Keywords: Internet of Things, K-Means Clustering, Convolutional Neural Network, Smart Greenhouse
Subjects: Q Science > Q Science (General) > Q300 Cybernetics
Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science

Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Dr Adamu Abubakar
Date Deposited: 14 May 2020 12:16
Last Modified: 14 May 2020 12:16
URI: http://irep.iium.edu.my/id/eprint/80376

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