/Crop-Health-Analysis-Using-Deep-Learning

A tool for analysing crop health using deep learning.

Primary LanguageJavaScript

Crop-Health-Analysis

App Architecture

Introduction

A deep learning tool for analysing crop health. There are alot of factors that contribute to the health of crop, analysing a few important factors can give a good estimate of the crop health. We mainly focused on two factors:

  • NDVI
  • Height

Components

The components of the repo include:

  • Web Client
  • Unet-Ndvi
  • Height Estimation

Web Cleint

The frontend of the application allowing users to interact with the tool with an intuitive and easy to use user interface.

To learn how to run the web application Read More.

Unet-Ndvi

The backend of the application and the core part of the application. The model estimates NDVI values using RGB imagery.

To learn more about the model Read More.

Height Estimation

This module is resposible for generating pointcloud and estimating height of crop.

To learn more about this module Read More.