Implementing a Lightweight Cloud-Based Process Monitoring Solution for Smart Agriculture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, existing infrastructure is undergoing a digital transformation towards Smart Factories/Industry 4.0. These technologies and approaches also have applications outside of manufacturing, including agriculture. We introduce a fully integrated data analytics infrastructure that can be used to transfer and store relevant agricultural sensor data from microcontrollers. This is applied to a prototype plant monitoring system using a Raspberry Pi for data processing and an IoT Cloud system for Real Time Application. The prototype implementation of the microcontroller integrates a temperature sensor, a humidity sensor, and a capacitive moisture sensor. The design uses a standalone ESP32 micro controller communicating to an MQTT Broker using the publish/subscribe method. Sensor data can be accessed by subscribing to the MQTT topic or by using the Web Application. The ESPlantMonitoring web application is developed for user management to grant access to the MQTT broker and view collected sensor data.

Original languageEnglish
Title of host publicationSmart City and Informatization
Subtitle of host publication7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings
EditorsGuojun Wang, Abdulmotaleb El Saddik, Xuejia Lai, Gregorio Martinez Perez, Kim-Kwang Raymond Choo
PublisherSpringer Singapore
Pages379-391
Number of pages13
Edition1st
ISBN (Electronic)9789811513015
ISBN (Print)9789811513008
DOIs
Publication statusPublished - 6 Jan 2020
Event7th International Conference on Smart City and Informatization - Guangzhou University, Guangzhou, China
Duration: 12 Nov 201915 Nov 2019
Conference number: 7
http://www.isci-conf.org/iSCI2019/ (iSCI 2019 Homepage)
http://www.isci-conf.org/share/AdvanceProgram.pdf (Combined Programme)
http://www.dependsys.org/DependSys2019/home.htm (DependSys 2019 Homepage)

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer Nature Singapore Pte Ltd
Volume1122 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th International Conference on Smart City and Informatization
Abbreviated titleiSCI 2019
CountryChina
CityGuangzhou
Period12/11/1915/11/19
OtherThe 7th International Conference on Smart City and Informatization (iSCI 2019).
The 5th International Conference on Dependability in Sensor, Cloud, and Big Data
Systems and Applications (DependSys 2019) and Symposiums, Workshops, Special Sessions
Internet address

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  • Profiles

    Activities

    • 1 Invited talk
    • 1 Oral presentation

    Keynote: Realising Smart Manufacturing with the Industrial Internet of Things

    Richard Hill (Speaker)

    14 Nov 2019

    Activity: Talk or presentation typesInvited talk

    Implementing a Lightweight Cloud-Based Process Monitoring Solution for Smart Agriculture

    Daniel Clarke (Speaker), Hussain Al-Aqrabi (Speaker), Richard Hill (Speaker), Pritesh Mistry (Speaker) & Phil Lane (Speaker)

    Nov 2019

    Activity: Talk or presentation typesOral presentation

    Cite this

    Clarke, D., Al-Aqrabi, H., Hill, G., Mistry, P., & Lane, P. (2020). Implementing a Lightweight Cloud-Based Process Monitoring Solution for Smart Agriculture. In G. Wang, A. El Saddik, X. Lai, G. Martinez Perez, & K-K. R. Choo (Eds.), Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings (1st ed., pp. 379-391). (Communications in Computer and Information Science; Vol. 1122 CCIS). Springer Singapore. https://doi.org/10.1007/978-981-15-1301-5_30