multifactor data analysis for effective crop cultivation system using big data analysis
N.Kamal,ANJALI R ,Charumathi J,TejaSri V M
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 22 April,2024 Pages:1900-1906
Abstract
In today's rapidly advancing technological landscape, the agriculture sector stands at the forefront of innovation, striving to address the complex challenges faced by farmers worldwide. This paper presents a multifactor analysis framework leveraging machine learning and big data methodologies to optimize crop selection based on key determinants including rainfall patterns, soil characteristics, and geographic location. By harnessing vast datasets and sophisticated algorithms, our approach aims to mitigate the impact of natural disasters and financial constraints on agricultural productivity. Through the integration of predictive models and real-time data analytics, we provide actionable insights to empower farmers in decision-making processes, ultimately enhancing crop yield and fostering economic sustainability in farming communities. This research underscores the pivotal role of technology in revolutionizing agricultural practices and ensuring food security for future generations.
Kewords
Machine Learning, Big Data, Data Analytics, Multifactor Analysis
Reference
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