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, China
Duration: 12 Nov 201915 Nov 2019
Conference number: 7
http://www.isci-conf.org/iSCI2019/

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
Internet address

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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