About this document
Sugarcane Disease Detection System by Dean Louie Calpotura is a document available to read on EtoBox.
This document presents the design of a signal conditioning circuit and machine learning algorithm for image processing to detect unusual features of smut and downy mildew diseases in sugarcane leaves. The device will have an optical sensor and camera inputs to capture images and chlorophyll count of sugarcane leaves. The inputs will be compared to a dataset using an expert system to determine whether the leaf has a disease or not. The design aims to help farmers identify diseases non-invasively and minimize
- Author
- Dean Louie Calpotura
- Language
- EN