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http://dspace.aiub.edu:8080/jspui/handle/123456789/1074
Title: | IOT BASED AGRICULTURAL MONITORING SYSTEM |
Authors: | Faruque, Omer Sharif, Raihan Tamim, Md Sibbir Khan Ishan, B.M.ALIF Kabir, Md. Humayun |
Keywords: | IoT, sensors, irrigation monitoring systems |
Issue Date: | 1-Jun-2023 |
Publisher: | Faculty of Engineering, American International University – Bangladesh |
Series/Report no.: | 2022.3;2022.3.16 |
Abstract: | This project focuses on the development and implementation of a smart articulating system for efficient irrigation in agricultural fields. The objective of this work was to design and construct a system that can monitor and control various parameters such as soil moisture, temperature, humidity, and rainfall, and accordingly regulate the irrigation process. The project involved the use of a microcontroller, Arduino Uno, along with sensors including DHT11, rain sensor, and soil moisture sensor. The hardware model was designed and implemented, and a simulation was conducted using Proteus software to validate the system's functionality. Furthermore, an Android application, Blynk, was used to monitor and control the hardware components remotely. This allowed users to access real-time data and make necessary adjustments to the irrigation process based on the sensor readings. The results obtained from both the simulation and hardware implementation were analyzed and compared. It was found that the system successfully regulated the irrigation process based on the measured parameters, leading to efficient water usage and improved plant growth. The novelty of this work lies in the integration of multiple sensors and the use of a microcontroller to create an automated irrigation system. By leveraging modern technologies, such as mobile applications and IoT, the system offers convenience and flexibility to farmers in managing irrigation remotely. This project demonstrates the successful development and implementation of a smart articulating system for efficient irrigation. The results obtained align with the predicted values and existing publications, showcasing the effectiveness of the proposed solution. The project has achieved its initial targets of creating an automated irrigation system and validating its functionality. The findings of this work contribute to the field of agricultural engineering, highlighting the potential of smart systems in optimizing irrigation processes and promoting sustainable farming practices. |
Description: | This project book is based on a Capstone Project submitted to the Faculty of Engineering. |
URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/1074 |
Appears in Collections: | Capstone Project Books |
Files in This Item:
File | Description | Size | Format | |
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Argiculture-managment- 2022.3.16.pdf | 1.68 MB | Adobe PDF | View/Open |
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