An embedded, machine learning-enabled platform for in-field screening of plant disease and pest damage

Abstract

This report contains the details of the project that we did for a span of 8 months. Chapter one covers the project background, problem statement, justification and objectives of the project Chapter two covers the literature review of the modules we covered and these include; Machine learning course basics, deep learning, setting up development environments, making machine learning models and related work Chapter three covers the practical work including the methodology of the project that we used Finally, chapter four contains my new findings, challenges, recommendations and conclusions.