Modelling big data analysis approach with multi-agent system for crop-yield prediction

Jaya Sinha, Shri Kant and Megha Saini

International Journal of Information and Decision Sciences, 2023, vol. 15, issue 1, 27-45

Abstract: Big data environment in current scenario is dealing with challenges in handling inherent complexity residing in the massive heterogeneous, multivariate and continuously evolving real-time data along with offline statistics. The role of big data analytics to analyse such a highly diverse data also plays a significant role in estimating predictive performance of a system. This paper thus aims at proposing an intelligent agent-based architecture that coordinates with big data analytics framework to model a system with an objective to improve the predictive performance of system by handling such diverse data. The paper also includes implementing predictive algorithm to predict crop yield in the agricultural domain. Various machine learning analytical tools have been used for data analysis to produce comprehensive and more accurate prediction using the proposed architecture.

Keywords: multi-agent system; MAS; big data; data acquisition; data analysis; data storage; machine learning; intelligent agents. (search for similar items in EconPapers)
Date: 2023
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