Rice-Disease-Classification

Introduction

This a challenge sponsored by Microsoft that was hosted on zindi platform
The objective of this challenge was to predict the disease of a rice plant giving it's RGB and Infrared images.
There are three possible categories for a plant:

  • rice blast disease
  • brown spot disease
  • healthy

Models Used

Variant types of (CNN-Transformer) based models were trained with variant sizes (ResNet-EffNet-ConvNext-Swin-Deit-Coat).

Reslults

Simple resnet_152 achieves ~ 96.5% accuracy.