The system is developed for the Jabatan Pengurusan Perniagaan ENT course on the student ENT competition projects. The system comprises two sections namely for registration & project submission and jury evaluation. The system is developed using HTML & javascript as the UI webapp, while utilising google apps script in google Sheets as the database for the system. In addition, the CSS on webapp page is used from w3school.com

This is an IoT-Based fertigation system. The project focuses specifically on Ficus Carica (fig). The project aims to develop a classification model based on ANN that can predict or classify the ripening stage based on either pectin activity or fruit appearance. In addition to that, a non-destructive quality assessment of the fig using imaging technique is also investigated.

The first phase of the project is the development of cabins for urban purposes farming. The chosen cultivation method is hydroponics using nutrient film technique (NFT) method. Vegetables to be selected as pilot models are salads and tomatoes.

The second phase is the development of a parameter monitoring system in agriculture using the Internet of things (IoT) method to increase the productivity of agricultural products at a cost-effective.

An android Apps is designed in such a way that it can recognize a mango called Harum Manis.