IoT Agriculture Monitoring and Control System
Do, Ngoc (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024053018600
https://urn.fi/URN:NBN:fi:amk-2024053018600
Tiivistelmä
Over the past few years, the Internet of Things has become one of the most important technologies of the 21st century. IoT is one of the three core components of the 4.0 industrial revolution. It is the network of physical objects embedded with sensors and connected to the internet, allowing them to exchange data and be remotely controlled. It enables the automation and optimization of various processes across industries, increasing efficiency and convenience.
Agriculture is one of the core industries of the world. It includes supplying raw materials for food and various products. It constitutes core of roles in strengthening economies through trade. Consequently, developing automation solutions for remote management, monitoring, and control in the agricultural sector holds paramount importance. Such advancements are poised to significantly diminish costs and labor, all the while ensuring heightened efficiency and productivity in work outcomes.
The thesis presents the design and implementation of an IoT agriculture monitoring and control system. The system combines various components such as NodeMCU ESP32, soil moisture sensor, light sensor, pH sensor, DHT22, and Blynk IoT cloud.
The finished system collects the farm environment data from sensors and transmits them to mobile devices for easy monitoring and automated tasks like irrigation remotely.
Agriculture is one of the core industries of the world. It includes supplying raw materials for food and various products. It constitutes core of roles in strengthening economies through trade. Consequently, developing automation solutions for remote management, monitoring, and control in the agricultural sector holds paramount importance. Such advancements are poised to significantly diminish costs and labor, all the while ensuring heightened efficiency and productivity in work outcomes.
The thesis presents the design and implementation of an IoT agriculture monitoring and control system. The system combines various components such as NodeMCU ESP32, soil moisture sensor, light sensor, pH sensor, DHT22, and Blynk IoT cloud.
The finished system collects the farm environment data from sensors and transmits them to mobile devices for easy monitoring and automated tasks like irrigation remotely.