IoT Based Intelligent Agriculture Monitoring and Controlling System



Tan, Say Huan (2021) IoT Based Intelligent Agriculture Monitoring and Controlling System. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Recently, agriculture has become one of the most important growing sectors in Malaysia. However, there are several challenges appearing in the agriculture sector. One of the major challenges is to boost the farming productivity and quality without continuously monitoring and control manually to achieve the expeditiously growing demand for food. In addition, extreme weather conditions, rising climate change and farming’s environmental impact are the critical consideration during agriculture activity as well. Therefore, the objective of this research work is to propose an IoT-based Intelligent agriculture monitoring and controlling system to react and respond instantly to prevent and avoid unfavorable situations. Smart farming can be implemented in order to provide farmers with the higher accuracy of monitoring and controlling of plantations, acquisition of timely and useful data and also automation in agriculture technique. For the system development process model, we have chosen the waterfall model. For the fact gathering technique, document analysis, observation, and brainstorming are carried out to have a better and deeper understanding of the project background. For the fact recording stage, various type of diagram such as use case diagram, activity diagram, ERD diagram, UI design, flow chart and so on was drawn to provide clearer understanding on the overall structure of the system. Beside that, some of the testing approach like unit test, integration test, system test and acceptance test are used to test the system in testing phase right after the system development was carried out. The suggested improvements or new requirements are discussed. In summary, this paper provides the solution to maximize the farming production with minimum human effort in agriculture management.

Item Type: Final Year Project
Subjects: Science > Computer Science
Agriculture > Agriculture (General)
Science > Computer Science > Internet
Faculties: Faculty of Computing and Information Technology > Bachelor of Information Technology (Honours) in Internet Technology
Depositing User: Library Staff
Date Deposited: 12 Aug 2021 07:27
Last Modified: 12 Aug 2021 07:27