Year: 2025
Type: article
Abstract: : This project focuses on developing an intelligent farming system powered by Artificial Intelligence (AI) and Machine Learning (ML), without relying on physical sensors. Instead, it leverages existing agricultural data sources—including weather patterns, crop varieties, soil characteristics, and fertilizer application—to forecast crop yields, suggest the most appropriate crops, and enhance decision-making in agriculture. The primary objective is to boost farm productivity, minimize resource wastage, and promote a more data-driven approach to farming.
Authors: Angelin Rosy M, Chandru Aadithya V
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4410992240