Year: 2025
Type: article
Abstract: The increasing demand for food production, coupled with limited agricultural resources, necessitates the adoption of advanced technologies to ensure sustainable and efficient farming practices.This research explores the design and implementation of a Smart Agriculture System that integrates the Internet of Things (IoT) and Artificial Intelligence (AI) to modernize traditional agricultural methods.IoT-based sensors are deployed to continuously monitor key environmental and soil parameters such as temperature, humidity, soil moisture, and light intensity.The collected data is transmitted to a cloud-based platform where AI algorithms analyze it to enable intelligent decision-making, including automated irrigation, pest detection, and crop health prediction.The system aims to reduce human effort, optimize resource utilization, and improve overall crop productivity.Experimental results demonstrate the effectiveness of the proposed system in enhancing farm management and promoting sustainable agriculture.This research contributes to the growing field of precision farming by providing a scalable, data-driven approach to address real-world agricultural challenges.
Authors: Ruchi Kashyap, Divyansh Singh Mohammad Afeef, Nitin Bhadoriya, Neha Taori
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4410347170