Transforming Agriculture through AI: A Technical Perspective on Next-Generation Farming
Year: 2025
Type: article
Abstract: This comprehensive technical article explores the transformative impact of Artificial Intelligence in modern agriculture, examining the integration of advanced technologies across multiple domains including aerial surveillance, IoT infrastructure, soil analytics, and weather forecasting. The article investigates how AI-driven systems have revolutionized traditional farming practices through sophisticated computer vision, machine learning algorithms, and sensor networks. The article demonstrates significant advancements in crop monitoring, resource optimization, and risk management through the implementation of multi-layered architectural frameworks. The article encompasses various technological components including drone-based surveillance, soil monitoring systems, weather prediction models, and integrated decision support systems, highlighting their collective contribution to enhancing agricultural productivity and sustainability.
Author: Sandeep Reddy Pakeer
Institution: Georgia Institute of Technology
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408694408