Deep Learning for Disease Resistance Classification using Drone Imagery of Corn

Project Overview

Corn breeders currently rely on slow, subjective visual scoring to assess foliage disease resistance across thousands of plots. This project reframes disease assessment as a supervised regression task: training a deep neural network to predict Southern Leaf Blight (SLB) severity directly from drone-collected RGB images. The challenge lies in designing a system that generalizes across seasons and field conditions while managing large, noisy, and imbalanced real-world data.

Data

The project aims to develop a deep learning model that can accurately predict the severity of Southern Leaf Blight in corn plants using drone imagery. This approach seeks to automate and improve the accuracy of disease assessment in corn breeding programs.

Model Implementation

List and discuss models implemented. Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Tech Stack

Discuss use of MLflow

Training and Performance Analysis

Show model performance results