Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.

IoTF app is a smart farming app for IoT and AI-powered tomato plant disease detection. It is built with Flutter and uses Firebase as its backend.

Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.

Backend endpoints for Crobit. Crobit is a smart farming system that aims to AGRICULTURE ENHANCEMENT USING AI AND IOT WITH SATELLITE IMAGERY

🌱 Next-gen agricultural platform bridging the gap between university graduates and smart farming using AI, IoT, and Cloud-Native technologies.

An IoT and AI system monitors plant environments using sensors for air quality, soil moisture, temperature, and humidity. Data is sent to a web application displaying real-time conditions. An AI chat interface (currently using me, Gemini) analyzes sensor readings to provide plant-specific advice on suitability and care.

Node.js backend for an IoT-based smart farming system. Handles ESP32 sensor data ingestion, MongoDB storage, and AI-powered soil & crop analysis using OpenAI API.

A smart farming tool that uses IoT sensors and AI to monitor soil conditions, predict moisture levels, and provide data-driven insights to help farmers optimize crop yield and resource use.

**AgroTech** – A smart farming project using AI and IoT to optimize agriculture. It monitors soil, weather, and crop health in real time, providing data-driven insights for better yield and sustainability. AgroTech empowers farmers with automation, precision farming, and future-ready agri-solutions.

Vasu Vaidya is an AI-powered smart farming system using IoT sensors to monitor NPK, pH, EC, moisture, and temperature. Cloud-based AI analysis offers crop-specific fertilizer advice and timely alerts, reducing soil degradation while boosting yield, cost efficiency, and sustainable farming via a user-friendly web app.

AI-powered smart agricultural IoT monitoring system using Raspberry Pi sensors and Llama 3.2 LLM for offline crop management. Provides real-time environmental data analysis and natural language farming insights without internet dependency.

Hydro-Nexus combines subsurface drip irrigation and hydroponics in modular grow bags using a unique buffer medium, IoT sensors, and AI. It offers smart, efficient crop growth with real-time monitoring, precise irrigation, and reduced water and nutrient use—ideal for sustainable farming.

SaffronSense AI is an IoT-based smart farming system for saffron cultivation using ESP32, sensors, cloud database, and machine learning. It monitors environmental conditions in real time and provides intelligent insights via mobile and web apps to improve yield and efficiency.

AROGA is an AI + IoT-based drone system that detects crop diseases using a deep learning model trained on a public Kaggle dataset and automatically sprays pesticides only on infected areas, reducing chemical use by up to 60% and promoting smart, sustainable farming.

Agrovihan-FarmOS is an AI-powered smart farming platform that helps farmers make data-driven decisions using soil intelligence, climate analytics, crop recommendation models, IoT monitoring, and market price forecasting. The system supports farmers from learning and crop planning to cultivation, disease protection, and market access.

Smart farming using AI and IoT

Ph.D Research Project: Intelligent Smart Farming Management using IoT and AI

Smart farming dashboard using AI & IoT simulation for crop monitoring and sustainability.

A web showcase for a smart farming research project using IoT and AI.

Description: IoT + AI based smart farming system using Raspberry Pi, Node.js and React

"A smart farming system using AI and IoT to optimize water usage and improve agricultural sustainability."

A smart agriculture system that uses AI and IoT to monitor crops and optimize farming decisions.

Smart farming uses technology like IoT and AI to optimize farming by monitoring soil, weather, and plant health, improving efficiency and sustainability.

Smart Agriculture System using AI, IoT & Web3 — enabling decentralized farming insights, sensor-based automation, and Farmer DAO governance.

AI + IoT enabled smart pesticide spraying system using ESP32-CAM, ML, React, Flask, and IoT sensors. Designed for sustainable farming, cost savings, and precision agriculture.

AI Powered Smart Crop & Multi-Farming Advisory System using AI, IoT, Weather Intelligence and Market Analytics to help farmers make better decisions.

Smart Aeroponics System using ESP32, IoT sensors, automated nutrient control, ultrasonic misting, and AI/ML-based monitoring for sustainable soilless farming.

AI-powered smart farming system that monitors crop conditions, detects diseases, and provides real-time recommendations using simulated IoT data and weather insights.

Smart Aquaculture System using IoT & AI: Monitors real-time pond conditions and provides AI-based suggestions via a mobile app for efficient and sustainable fish farming.

Smart Farming Network (SFN) is a platform that connects farmers and investors globally. It uses IoT, AI, and blockchain to optimize farming, improve transparency, and create profitable agricultural opportunities.