Embedded system application development on Raspberry Pi 4 (alpha crop weed and disease detection)

• Main Author: Goh, Jun De
• Other Authors: Chong Yong Kim
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/167008
• Institution: Nanyang Technological University

This paper presents the development of a smart farming application using Raspberry Pi to detect disease and weeds in cotton crops. The proposed system utilises deep learning and machine learning algorithms to analyse images of cotton plants captured by a camera attached to the Raspberry Pi. Th...