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

  • Daniel Clarke
  • Hussain Al-AqrabiEmail author
  • Richard Hill
  • Pritesh Mistry
  • Phil Lane
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1122)


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.


Internet of Things Cloud computing Distributed systems Raspberry Pi Arduino Smart agriculture 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Computing and EngineeringUniversity of HuddersfieldHuddersfieldUK

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