Portfolio Details

Project information

  • Client: Masyarakat
  • Framework: Laravel 9
  • Programming language: PHP, HTML, Javascript, Bootstrap
  • Project URL:

Project Description

This project is a disease detection system designed specifically for coffee farmers cultivating Robusta coffee. The system helps users diagnose the health of their coffee plants by analyzing images of coffee beans, leaves, and stems. The key features of the system include:

  • Disease Detection: Users can upload images of their Robusta coffee plants, and the system will analyze the images to detect whether the plants are healthy or affected by disease.
  • Plant Parts Analysis: The system examines three main parts of the coffee plant: coffee beans, leaves, and stems, providing detailed detection results for each.
Built using Laravel 9, PHP, HTML, JavaScript, and Bootstrap, this system aims to assist coffee farmers in monitoring the health of their crops more efficiently.