Plantation Monitoring Using Information from Images

 




 

Kau, Yen Lin (2021) Plantation Monitoring Using Information from Images. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

[img] Text
Kau Yen Lin.pdf
Restricted to Registered users only

Download (794kB)

Abstract

Agriculture technology sector has been changing like as other sectors, into modern and productive systems. It is found that smart agriculture is an effective and necessary approach to realize all these transformations. Smart agriculture bring ease for the farmers, for them to monitor plants. As we can see, the population in the world rises year by year, leading to global food demand increases. To overcome the food demand, farmers will need to increase crop production. However, there may be some factors such as climate change will make it challenging to produce enough food. Thus, a predictive solution is developed by collecting data from a farm. The model will be trained and shows predictive results. The results will then display on a dashboard, to bring ease for farmers to monitor the plants efficiently and save their time.

Item Type: Final Year Project
Subjects: Science > Computer Science
Agriculture > Agriculture (General)
Technology > Technology (General)
Faculties: Faculty of Computing and Information Technology > Bachelor of Computer Science (Honours) in Data Science
Depositing User: Library Staff
Date Deposited: 12 Aug 2021 06:22
Last Modified: 12 Aug 2021 06:22
URI: https://eprints.tarc.edu.my/id/eprint/19182