TPB Unud Students Successfully Design “Tomatify”, an Application for Detecting Diseases in Tomatoes Using Machine Learning
Luh Putri Apriliani, a student of the Agricultural and Biosystems
Engineering Study Program, Faculty of Agricultural Technology, Udayana
University with her group namely Komang Deny Triana, Hana Octavia Trinida Malo,
I Wayan Bharatayasa, Ni Made Lia Ari Widana and Ketut Wii Artawan succeeded in
designing the Mobile App "Tomatify" .
Tomatify is an application (mobile app) that can detect diseases in
tomatoes using machine learning. Tomatify is a capstone project after
participating in the wake program organized by Google, GoTo, Travelola and PT.
Dicoding Indonesian Academy. This application has been tested in the Kintamani
area, Bangli, Bali, where there was a significant decrease in tomato production
due to the limitations of tomato farmers in identifying diseases in these
tomato plants. The accuracy of tomato disease detection by Tomatify reaches
92%.
Luh Putri Apriliani, who is often called Putri, said that this application
was made with the aim of making it easier for farmers to detect diseases,
especially in tomatoes. She also hopes that this application can be used by
many farmers in Bali, especially tomato farmers. In addition, she said the
Tomatify video can be seen on YouTube, namely at the link
https://www.youtube.com/watch?v=7YiEp2RHz9M, she said.
UDAYANA UNIVERSITY