International Journal of Informatics Engineering and Computing
Vol. 2 No. 2 (2025): International Journal of Informatics Engineering and Computing [Preview]

Automatic Detection of Cabbage Pest Attacks Based on Leaf Images with Machine Learning Approach

Ni Wayan Surya Wardhani (Unknown)
Prayudi Lestantyo (Unknown)
Atiek Iriany (Unknown)
Nur Silviyah Rahmi (Unknown)



Article Info

Publish Date
31 Dec 2025

Abstract

Farmers in cabbage farming face many problems, one of which is pest attack. Plutella xylostella L. is a major pest on cabbage (known as cabbage leaf caterpillar) which can cause a decrease in production of up to 100 percent. Decision Support System (DSS) was developed to classify the attack rate of Plutella to reduce the negative effects of using various types of high doses of pesticides and short spraying intervals but causing residual effects and killing natural enemies. DSS has a role in helping farmers to make decisions regarding the time of pesticide treatment needed to minimize negative effects and increase productivity. In this study, DSS was developed to detect damage to cabbage (Brassica oleracea L) crops so that farmers can determine pesticide doses and spraying intervals based on a website. The results of the system is presented in the form of images and the percentage of damage to cabbage plants. Therefore, the CART method can be used to analyze the level of damage to plants that are attacked by pests.

Copyrights © 2025






Journal Info

Abbrev

ijimatic

Publisher

Subject

Computer Science & IT

Description

International Journal of Informatics Engineering and Computing (IJIMATIC) is an international, peer-reviewed, open-access journal that publishes original theoretical and empirical work on the science of informatics and its application in multiple fields. Our concept of informatics encompasses ...