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
收藏
页数:14
相关论文
共 50 条
  • [1] Crop Field Monitoring and Disease Detection of Plants in Smart Agriculture using Internet of Things
    Balram, G.
    Kumar, K. Kiran
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (07) : 819 - 826
  • [2] Smart Greenhouse Monitoring System Using Internet of Things and Artificial Intelligence
    Soheli, Sultana Jahan
    Jahan, Nusrat
    Hossain, Md Bipul
    Adhikary, Apurba
    Khan, Ashikur Rahman
    Wahiduzzaman, M.
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 124 (04) : 3603 - 3634
  • [3] Smart Greenhouse Monitoring System Using Internet of Things and Artificial Intelligence
    Sultana Jahan Soheli
    Nusrat Jahan
    Md. Bipul Hossain
    Apurba Adhikary
    Ashikur Rahman Khan
    M. Wahiduzzaman
    Wireless Personal Communications, 2022, 124 : 3603 - 3634
  • [4] Smart Environmental Monitoring through Internet of Things (IoT) using RaspberryPi 3
    Sriyanka
    Patil, Siddarama R.
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 595 - 600
  • [5] Internet of Things Based Smart Greenhouse: Remote Monitoring and Automatic Control
    Ullah, Mohammad Woli
    Mortuza, Mohammad Golam
    Kabir, Md Humayun
    Ahmed, Zia Uddin
    Supta, Sovan Kumar Dey
    Das, Partho
    Hossain, Syed Mohammad Didar
    JOINT INTERNATIONAL CONFERENCE ON ENERGY, ECOLOGY AND ENVIRONMENT ICEEE 2018 AND ELECTRIC AND INTELLIGENT VEHICLES ICEIV 2018, 2018,
  • [6] A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring
    Montori, Federico
    Bedogni, Luca
    Bononi, Luciano
    IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (02): : 592 - 605
  • [7] Internet of Things based Smart Environmental Monitoring using the Raspberry-Pi Computer
    Ibrahim, Mohannad
    Elgamri, Abdelghafor
    Babiker, Sharief
    Mohamed, Ahmed
    2015 FIFTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION PROCESSING AND COMMUNICATIONS (ICDIPC), 2015, : 159 - 164
  • [8] Mitigating and Monitoring Smart City Using Internet of Things
    Jha, Sudan
    Nkenyereye, Lewis
    Joshi, Gyanendra Prasad
    Yang, Eunmok
    CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 65 (02): : 1059 - 1079
  • [9] Internet of Things Empowered Smart Greenhouse Farming
    Rayhana, Rakiba
    Xiao, Gaozhi
    Liu, Zheng
    IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, 2020, 4 (03): : 195 - 211
  • [10] Design and Implementation of Agricultral Greenhouse Environmental Monitoring System Based on Internet of Things
    Li, Shaoling
    Han, Yu
    Li, Ge
    Zhang, Man
    Zhang, Lei
    Ma, Qin
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 2624 - 2629