AgriAI aims to revolutionize the agriculture industry by offering AI-powered tools and solutions that help farmers make informed decisions, optimize crop yields, and manage resources efficiently. The project includes various modules for data analysis, prediction, and visualization.

Jembatani Android application developed to bridge the Smart Farming system with user devices. This project aims to provide convenience in integrating and controlling agricultural systems intelligently through an Android-based mobile interface.

Empowering Agriculture through smart farm for data visualization, farm management and AI/ML for productivity

Backend Smartfarming PAKTANI

A Python package for digital agriculture in vineyard-related activities

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI-Based Crop Yield Prediction System leverages AI to forecast crop yields using weather, soil, and historical data, helping farmers optimize decisions, increase productivity, and reduce resource wastage.

A wireless soil moisture monitoring system using XBee enables real-time data transmission for precise irrigation. It reduces water waste, avoids over-irrigation, and improves crop health. The low-power, scalable design supports continuous monitoring, aiding smart, efficient agriculture.

Frontend Website Smartfarming

sale.portigen.com

EchoAgri is an advanced agricultural platform designed to harness the power of technology to improve farming practices. This project integrates IoT devices and machine learning algorithms to monitor and manage various agricultural processes, providing farmers with actionable insights.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI in Precision Agriculture leverages AI to monitor crops, predict yield, optimize irrigation, and enhance resource utilization, enabling data-driven farming and sustainable agricultural practices.

A comprehensive IoT-based smart farming solution that automates irrigation based on soil moisture, temperature, and humidity readings. The system supports both offline and online operation modes with modular display options and dual cloud service integration.