Year: 2025
Type: article
Abstract: This project is an advanced, AI-driven decision-making system designed to revolutionize farming practices. By integrating real-time environmental data—such as soil moisture level, temperature, humidity, and soil nutrients—collected through IoT-enabled sensors, the system employs machine learning algorithms to recommend the most suitable crops for a specific region. This ensures optimal yield, efficient resource utilization, and sustainable agricultural practices. Key features of this project includes predictive analytics for climate impact forecasting. The system empowers farmers with actionable insights, reducing dependency on traditional trial-and-error methods. Through its user-friendly mobile and web applications, farmers can access customized recommendations, monitor real-time conditions, and improve decision-making for resource efficiency and eco-friendly farming. By combining artificial intelligence, precision agriculture, and sustainability principles, this project enhances productivity while minimizing resource wastage. The AI powered IOT based smart agriculture system bridges the gap between traditional farming and modern technology, paving the way for an innovative and sustainable agricultural ecosystem. Keywords: Artificial Intelligence, Precision Agriculture, IoT Sensors, Crop Recommendation, Sustainable Farming, Predictive Analytics, Climate Impact Forecasting .
DOI: 10.55041/ijsrem41447
Author: Manokaran J
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4407248561