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, new and already existing infrastructure is undergoing a transformation towards so called Smart Factories. The technologoies and approaches developed also have application outside of manufacturing, including agriculture. This paper introduces a fully integrated Data Analytics Infrastructure that can be used to transfer and store relevant sensor data from microcontrollers. This is applied to a prototype plant monitoring system using a Raspberry Pi as a processor 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.
LanguageEnglish
Title of host publication7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019
PublisherSpringer
Number of pages12
Publication statusAccepted/In press - 21 Aug 2019

Publication series

NameLNCS
PublisherSpringer

Fingerprint

Process monitoring
Agriculture
Sensors
Microcontrollers
Industrial economics
Humidity sensors
Temperature sensors
Industrial plants
Moisture
Controllers
Monitoring

Cite this

Clarke, D., Al-Aqrabi, H., Hill, G., Mistry, P., & Lane, P. (Accepted/In press). Implementing a lightweight cloud-based process monitoring solution for smart agriculture. In 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019 (LNCS). Springer.
Clarke, Daniel ; Al-Aqrabi, Hussain ; Hill, Graham ; Mistry, Pritesh ; Lane, Philip. / Implementing a lightweight cloud-based process monitoring solution for smart agriculture. 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer, 2019. (LNCS).
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abstract = "In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure is undergoing a transformation towards so called Smart Factories. The technologoies and approaches developed also have application outside of manufacturing, including agriculture. This paper introduces a fully integrated Data Analytics Infrastructure that can be used to transfer and store relevant sensor data from microcontrollers. This is applied to a prototype plant monitoring system using a Raspberry Pi as a processor 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.",
keywords = "Smart Agriculture, Internet of Things, Cloud computing, Distributed Systems, Rasberry Pi, Arduino",
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Clarke, D, Al-Aqrabi, H, Hill, G, Mistry, P & Lane, P 2019, Implementing a lightweight cloud-based process monitoring solution for smart agriculture. in 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. LNCS, Springer.

Implementing a lightweight cloud-based process monitoring solution for smart agriculture. / Clarke, Daniel; Al-Aqrabi, Hussain; Hill, Graham; Mistry, Pritesh; Lane, Philip.

7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer, 2019. (LNCS).

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

TY - GEN

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AU - Clarke, Daniel

AU - Al-Aqrabi, Hussain

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AU - Mistry, Pritesh

AU - Lane, Philip

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N2 - In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure is undergoing a transformation towards so called Smart Factories. The technologoies and approaches developed also have application outside of manufacturing, including agriculture. This paper introduces a fully integrated Data Analytics Infrastructure that can be used to transfer and store relevant sensor data from microcontrollers. This is applied to a prototype plant monitoring system using a Raspberry Pi as a processor 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.

AB - In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure is undergoing a transformation towards so called Smart Factories. The technologoies and approaches developed also have application outside of manufacturing, including agriculture. This paper introduces a fully integrated Data Analytics Infrastructure that can be used to transfer and store relevant sensor data from microcontrollers. This is applied to a prototype plant monitoring system using a Raspberry Pi as a processor 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.

KW - Smart Agriculture

KW - Internet of Things

KW - Cloud computing

KW - Distributed Systems

KW - Rasberry Pi

KW - Arduino

M3 - Conference contribution

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PB - Springer

ER -

Clarke D, Al-Aqrabi H, Hill G, Mistry P, Lane P. Implementing a lightweight cloud-based process monitoring solution for smart agriculture. In 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer. 2019. (LNCS).