Title: IoT-based intelligent infrastructure decision support system with correlation filter and wrapper framework for smart farming

Authors: M. Suresh; S. Manju Priya

Addresses: Department of Computer Science, Nehru Arts and Science College, Nehru College Rd., Thirumalayampalayam, Tamil Nadu 641105, India ' School of Computer Science and Applications, REVA University, Bangalore, India

Abstract: Agriculture is the backbone of the Indian economy in a world where the market is battleground, and technology is constantly changing. More than 75% of the population relies on this ancient craft. Each farmer must produce high-quality harvests despite water shortages and plant illnesses. They must delicately balance soil nutrients, sustaining fertility like a nation's lifeline. From these trials emerged the modern Indian farmer's hero: an IoT-based decision support system, a smart agricultural beacon. This miracle anticipates agricultural yield and guards their livelihood like a sentinel. It monitors soil fertility, stops soil degradation, and considers excessive irrigation a crime against nature. Wireless sensor devices elegantly communicate data to a central server to arrange this technology symphony. In the digital world, a machine learning system does predictive irrigation. The weather, soil, rainfall, seed damage, drought, and alchemical pesticides and fertilisers are considered. Many pioneers in this growing industry have failed, resulting in incorrect estimates and low crop yields. CBF-SF, an artisanal hybrid correlation-based filter (CBF) and sequential forward wrapper architecture is the solution. This clever technique turns parched areas into bountiful goldmines by predicting crop yields with precision, making farmers contemporary alchemists.

Keywords: correlation filter; sequential forward; prediction; IoT-based intelligent infrastructure; decision support system; correlation filter; precision agriculture; crop yield prediction; soil monitoring; wireless sensor devices; data analytics; agricultural technology.

DOI: 10.1504/IJCIS.2025.146877

International Journal of Critical Infrastructures, 2025 Vol.21 No.3, pp.267 - 292

Received: 10 Sep 2023
Accepted: 27 Dec 2023
Published online: 24 Jun 2025 *

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