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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Roopashree Hejjaji Ranganathasharma
GSSS Institute of Engineering and Technology for Women Mysuru, Affiliated to Visvesvaraya Technological University
Computer Science & IT Engineering

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Deep intelligence for sustainable farming: a swarm-empowered data analytics architecture Kiran Muniswamy Panduranga; Roopashree Hejjaji Ranganathasharma
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp901-908

Abstract

The inclusion of complex patterns of data in precision agriculture (PA) induces a greater degree of challenges from the perspective of carrying out conventional analytical operations. Although proliferated use of artificial intelligence (AI) has been noticed to yield some promising results to address such issues, yet they too have many shortcomings. Hence, the current manuscript introduces an innovative hybrid AI scheme towards enhancing the analytical operations necessary for decision-making in smart farming. The proposed scheme hybridizes a deep neural network (DNN) with a novel swarm intelligence (SI) model for optimizing the performance of its adopted deep learning (DL) model. Tested on a standard dataset of agriculture, the proposed model exhibited a 10% increase in accuracy and 40% faster response time when compared with conventional machine learning (ML) models, DL models, and SI models. The study contributes to a novel benchmark towards time-efficient, scalable, and intelligent analytics on PA.
Co-Authors Kiran Muniswamy Panduranga