Ayini - Crop Prediction App

Ayini is an Android application designed for crop prediction using IoT sensors to analyze the nature of the soil. This app empowers farmers to make informed decisions about suitable crops for their specific soil conditions.

Table of Contents

• About the Project
• Getting Started
  • Prerequisites
  • Installation
• Features
• Usage
• License

About the Project

Ayini leverages IoT sensors to collect and analyze soil data, providing crop predictions tailored to the unique characteristics of the soil. This enables farmers to optimize their crop selection and improve overall agricultural productivity.

Getting Started

Prerequisites

To run the Ayini app, ensure you have the following prerequisites installed:

• Android Studio
• IoT sensors for soil data collection

Installation

1. Clone the repository:

   git clone https://github.com/ssaimanjunath/Ayini.git

2. Open the project in Android Studio.

3. Connect IoT sensors to your device for soil data input.

4. Build and run the Ayini app on your Android device.

Features

• Soil Data Analysis: Collects data from IoT sensors to analyze soil properties.

• Crop Prediction: Utilizes the analyzed soil data to predict suitable crops.

• User-Friendly Interface: Intuitive design for easy navigation and data interpretation.

Usage

1. Open the Ayini app on your Android device.

2. Connect the IoT sensors to collect real-time soil data.

3. View the crop predictions based on the analyzed soil properties.

License

This project is licensed under the MIT License.