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

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.

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.

Backend Smartfarming PAKTANI

CRM InsightTrack is a REST-based web application for managing Crop Residue Management machines. It supports CHC management, machine tracking, booking workflows, usage analytics, and role-based dashboards for administrators and government users.

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.

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.

Frontend Website Smartfarming

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 smart drip irrigation web application built with React to monitor and manage water usage efficiently for agriculture.

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.

sale.portigen.com

Tableau Dashboard analysing smart farming data to identify key factors impacting crop yield across irrigation, soil, other factors.

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.