smartfarming

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

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.

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.

🌱 IoT-based Smart Plant Monitoring & Automatic Irrigation System using ESP32, featuring real-time soil moisture, temperature & humidity monitoring, automated watering 🚰, Wi-Fi connectivity 📶, OLED display 📟, and Telegram notifications 🤖.

Backend Smartfarming PAKTANI

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.

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.

AI-powered precision agriculture platform leveraging satellite imagery, crop health analytics, disease detection, weather intelligence, and smart farming insights.

Machine Learning based crop recommendation system using KNN and weather data integration.

Arduino-based smart farming system that uses a soil moisture sensor, DHT22 temperature and humidity sensor and an LDR sensor module to monitor Tropical, Dry, Temperate and Polar climate zones. Features automated irrigation and suggests passive techniques to control levels on Serial Monitor and displays live readings on an LCD display.

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 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.

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

A Python package for digital agriculture in vineyard-related activities

Frontend Website Smartfarming

AI-powered agriculture platform for crop recommendation, fertilizer recommendation, disease detection, and AI farming assistance.

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

🌾 KissanSmart is a full-stack smart agriculture platform designed to help farmers make data-driven decisions through crop recommendation, disease detection, smart irrigation, weather insights, market prices, and an AI assistant. Built with React, TypeScript, Supabase, and prepared for ML integration.

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.