Muzafar, Muhammad Muaddib Bakhtiar (2023) Development of demand driven irrigation system using IoT. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
Good irrigation system has the potential to transform the agricultural sector from one that is manual and static to one that is intelligent and dynamic, resulting in improved productionwhile requiring less human supervision. A job that takes a lot of people can be turned into a job that requires very little manpower and imprecise data collecting can be turned into a very good, automated irrigation system with zero-error accurate reading. This research proposes thedevelopment of an IoT-based demand-driven irrigation system that autonomously checks and maintains the appropriate soil moisture content. The Arduino Uno microcontroller platform isused to build the control unit. Finding a way to calibrate the sensors so that an accurate readingmay be obtained will be a key breakthrough throughout the project. Soil moisture sensors are used in this configuration to determine the exact moisture content of the soil. This number allows the system to use the correct amount of water, preventing over- and under-irrigation. The Internet of Things (IoT) is utilized to keep farmers up to date on all data acquired during the irrigation process. All the data obtained by the sensors is sent to the cloud on a regular basis, allowing a farmer to verify whether the water pump watered the crop according to the pre-determined timetable. The sensor data is also sent to a Blynk application, where it is graphed for study
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Sensors, Moisture, Irrigation, Soil, Sensor, Microcontroller, Crop, Cloud, Pump |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 19 Oct 2023 08:26 |
Last Modified: | 21 Nov 2024 02:40 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/30713 |
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