Work

Leveraging AI in cloud computing to enhance nano grid operations and performance in agriculture

Year: 2024

Type: article

Abstract: The agricultural industry is critical to guaranteeing food security and sustainability , yet technological improvements have created new opportunities for enhancing farming operations. Nano-grids, or small-scale decentralized energy systems , are a viable response to agriculture's energy challenges.This study aims to investigate the integration of AI technologies into cloud computing frameworks to empower agricultural nano-grids. We propose Dragon Fruit Fly Optimization algorithms (D-FF) for energy management in Nano-grids operations with sustainable farming technology.The proposed approach's efficacy is evaluated using simulations and real-world situations in agricultural environments.The results show that the nano-grid supports agricultural activities as well as improves Accuracy (96 %), F1-Score (93 %), Precision (91 %), and Recall (92 %) with less energy wasted along with lower operating expenses.By developing smart agriculture techniques, more dependable and effective energy management in the agricultural sector is made possible by the results.

Source: Sustainable Computing Informatics and Systems

DOI: 10.1016/j.suscom.2024.101075

Authors: Kruti Sutariya, C. Menaka, Mohammad Shahid, Sneha Kashyap, Deeksha Choudhary, Sumitra Padmanabhan