Integrated Smart Farming System with IoT Monitoring and AI Assistance

Abstract: Agriculture is one of the most important sectors for food production and economic growth, but farmers often face difficulties in monitoring soil conditions, managing irrigation, identifying crop-related issues, and accessing market resources efficiently. Traditional farming methods require continuous physical presence in the field, which consumes time and labor. To overcome these challenges, this research proposes an AI-Based Smart Agriculture Monitoring and Irrigation System that integrates both hardware and software technologies for efficient farm management. The system uses ESP32, DHT sensor, and Soil Moisture Sensor to continuously monitor environmental and soil conditions such as temperature, humidity, and moisture level. The collected data is transmitted to a Flutter-based mobile application where farmers can monitor real-time readings remotely. When the soil moisture level falls below a predefined threshold, the system alerts the user and also allows one-click water supply control through the application.

In addition, the proposed system includes an AI-powered farming chatbot that assists farmers in solving agriculture- related problems through text chat, voice input, and image upload features for crop analysis and guidance. The application also provides a marketplace platform where farmers can buy or sell crops, fertilizers, seeds, and medicines directly. A dedicated profile section stores farmer information, while the video and news module provides updates regarding modern farming techniques, innovations, and agricultural news. Experimental analysis shows that the system improves irrigation efficiency, reduces unnecessary field visits, supports smart decision-making, and enhances accessibility to agricultural resources. The proposed system is cost-effective, scalable, user-friendly, and suitable for modern smart farming applications.

Keywords: Smart Agriculture System, ESP32, Soil Moisture Sensor, DHT Sensor, Flutter Application, Smart Irrigation, AI Chatbot, Agriculture Monitoring, IoT in Farming, Remote Water Control, Precision Farming, Agricultural Marketplace, Crop Monitoring, Voice Assistance, Image-Based Farming Support, Digital Farming Platform, Real-Time Monitoring, Sustainable Agriculture.