Environmental monitoring and disease detection of plants in smart greenhouse using internet of things

被引：15

作者：

Khan, Fazeel Ahmed ^{[1
]}

Ibrahim, Adamu Abubakar ^{[1
]}

Zeki, Akram ^{[1
]}

机构：

[1] Int Islamic Univ Malaysia, Fac Informat & Commun Technol, Gombak, Selangor, Malaysia

来源：

JOURNAL OF PHYSICS COMMUNICATIONS | 2020年 / 4卷 / 05期

关键词：

Internet of Things; smart greenhouse; K-Means clustering; Convolutional Neural Network; AGRICULTURE;

D O I：

10.1088/2399-6528/ab90c1

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：14

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