Technology

Overview This article is the first in a series of tutorials that will cover the development of a rice leaf disease detection web application for AgroVisionLabs, a fictional company made up for the purpose of this project. It will aim to develop a Rice Disease Detection that allows farmers to upload rice leaf images for disease detection. The application will leverage image recognition and cloud-native tools to achieve objectives. This article will introduce the system’s objectives, explore functional and non-functional requirements, and outline the architecture and workflow. ...

Overview This guide will walk you through the process of setting up and running the Rice Disease Detection application on your local machine. Prerequisites Before you begin, ensure you have the following installed: Node.js npm (Comes with Node.js) Git AWS account credentials Step 1: Clone the Repository Open your terminal Clone the repository: git clone https://github.com/amanlikemurphy/rice-detection-app.git Step 2: Install Dependencies Run the following command to install the dependencies: npm install Step 3: Configure Environment Variables The application uses AWS Rekognition, S3, and DynamoDB. You will need to configure the environment variables for these services. ...