AgroWava

• AgroWave is a machine learning-based project designed to provide predictions and recommendations for farmers. The system uses different algorithms to predict crops, recommend fertilizers, and provide rainfall to help farmers make informed decisions about their crops.
• IT also has direct crop sales to customer with real payment interface.
• Other supporting features are Weather Forecast upto 5 days using Weather API, Agriculture realetd news.

Installation

• Setup Instructions Prerequisites • PHP installed on your system. • A MySQL database instance. • A local server environment (e.g., XAMPP or WAMP). Steps
• Clone the repository: bash git clone https://github.com/IIT-NSTU/agrowave.git
• Import the database schema: bash mysql -u username -p database_name < agriculture_portal.sql
• Start your local server (e.g., using XAMPP Control Panel).Launch the application using your local server.
• Access the project in your browser: http://localhost/agrowave/index.php
• Admin Login Credentials To access the admin panel, use the following credentials:
• Mobile Number: admin Password: password
• Farmer and Customer can log in through Registraton.

Features

• Crop Mapping
• Crop Recommendation
• Fertilizer Recommendation
• Agricultural Tool Hire
• Rainfall Prediction
• Agriculture realetd news using News
• Weather Forecast upto 5 days using OpenWeatherMap API
• Direct crop sales to customer with real time payment interface

Technologies Used

• Python
• PHP
• Pandas
• NumPy
• JavaScript
• HTML/CSS
• Scikit-learn

Dataset

The Crop Management System dataset includes the following features:

Crop Mapping Dataset

• Upazilla_Name
• District_Name
• Season

Crop Recommendation Dataset

• N
• P
• K
• Temperature
• Humidity
• pH
• Rainfall

Fertilizer Recommendation Dataset

• Temparature
• Humidity
• Soil Moisture
• Soil Type
• Crop Type
• Nitrogen
• Phosphorous
• Potassium
• Fertilizer Name

Rainfall Prediction Dataset

• YEAR
• JAN
• FEB
• MAR
• APR
• MAY
• JUN
• JUL
• AUG
• SEP
• OCT
• NOV
• DEC

How to Use

• Crop Prediction: Input Upazilla_Name, District_Name, and Season to get the predicted crop for that location.
• Crop Recommendation: Input N, P, K, Temperature, Humidity, pH, and Rainfall for that location to get recommended crops for that location.
• Fertilizer Recommendation: Input Temperature, Humidity, Soil Moisture, Soil Type, Crop Type, Nitrogen, Phosphorous, and Potassium to get recommended fertilizer for that crop and location.
• Rainfall Prediction: Input District_Name and Month to get rainfall prediction for that year.

Slide: http://surl.li/pyjcow