Development of an IoT based chilli plant environmental monitoring system by using a microcontroller

Mohamad Alias, Muhammad Afiq Akmal (2021) Development of an IoT based chilli plant environmental monitoring system by using a microcontroller. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

As the world is moving into new advances and executions, many improvements in an agriculture field in line with the development of much renewed in technology especially in chili plant industry. A lot of research has been done to improve and increase the production in agriculture. One of the concepts of Internet of Things (IoT) is the automation field. The automation field can be applied to grow plants that required to monitor environment conditions. This strategy will assist the farmers with utilizing new strategies and can build their pay with less handwork. Now traditional day farming is changing into modern agriculture. The aim for development of an IoT based chili plant environmental monitoring system is to develop a system that can display temperature, humidity, and soil moisture. In this project, user can monitor the plants by using a smartphone. The system consists of a microcontroller (Arduino UNO), sensors (DHT11, soil moisture), Esp8266 Wi-Fi shield, fan and water pump. The project has two objectives, which are to develop a plant environmental monitoring system that can display temperature, humidity, and soil moisture and to analyze the system's functionality by detecting the DHT11 sensor (temperature sensor, humidity sensor) and soil moisture sensor. The results of the test case showed that the system able to display all the sensor values in Blynk App. Other than that, the accuracy of DHT11 sensor have been tested. DHT11 sensor will measured temperature and humidity in environment. Average percent error for temperature has been obtained which is 2.16%. The accuracy of temperature is affected by the temperature changes in environment. The result for humidity shows average percent error of humidity is 5.12%. The accuracy of soil moisture is tested by run the system for 18 hours to collect data from sensor. For average percent error of soil moisture is 3.33%. Thus, the accuracy of the soil moisture is affected by condition of the soil. To conclude, the project of the development an IoT based chilli plant environmental monitoring system by using a microcontroller is developed to provide display information and watering the plants day-to-day without user effort. The purpose of this project is to develop an IoT based chilli plant environmental monitoring system with an artificial intelligent to enable user to perform task without the need of touch input and test the accuracy of DHT11 sensor and soil moisture sensor in real time. This project has potential to be installed in garden, green house and Indoor farm.

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