Examining the Impact of Machine Learning on Streamlining Data Analysis in Real-Time-Reference-Cited by-同舟云学术

Examining the Impact of Machine Learning on Streamlining Data Analysis in Real-Time

Published:2023-12-19 Issue: Volume: Page:1725-1730
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
language:
Short-container-title:

Author:

Barve Purushottam S.¹,Mittal Sonam²,Shamout Mohamed Dawood³,Gutiérrez Ulloa Cristian Raymound⁴,Yataco Bernaola Merly Liliana⁵,Ramos Torrealva Zully Maribel⁶

Affiliation:

1. Yeshwantrao Chavan College of Engineering,Department of Mechanical Engineering,Nagpur,Maharashtra,India

2. B K Birla Institute of Engineering and Technology,Dept. of Information Technology,Pilani

3. College of Business Administration, University of Sharjah,Department of Management,Sharjah,United Arab Emirates

4. Docente Universitario La Libertad Universidad Nacional de Trujillo,Trujillo

5. Docente Universitaria Principal, Ica University: Universidad Nacional San Luis Gonzaga, Ica

6. Docente Universitaria Auxiliar, Ica, Universidad Nacional San Luis Gonzaga, Ica

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10452124.pdf?arnumber=10452124

Reference15 articles.

1. Internet of things (IoT) for smart agriculture: Assembling and assessment of a low-cost IoT system for polytunnels

2. Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture

3. Smart platform based on IoT and WSN for monitoring and control of a greenhouse in the context of precision agriculture

4. A Low-Cost Edge and Cloud Computing Based Smart Agriculture Platform for Lifecycle Andrographis Paniculata Planting

5. IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture