Self-Tuning Model for Energy-Context Optimization in Perpetual Sensor Nodes Within IoT-Integrated Hydroponic Systems-Reference-Cited by-同舟云学术

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Self-Tuning Model for Energy-Context Optimization in Perpetual Sensor Nodes Within IoT-Integrated Hydroponic Systems

Published:2024-09 Issue:3 Volume:16 Page:267-270
ISSN:1943-0663
Container-title:IEEE Embedded Systems Letters
language:
Short-container-title:IEEE Embedded Syst. Lett.

Author:

Hernández-Benítez A.¹,Vázquez-Castillo J.²^ORCID,Estrada-López Johan J.³^ORCID,Becerra-Nunez G.²^ORCID,Cólin-García N.⁴^ORCID,Castillo-Atoche A.¹^ORCID

Affiliation:

1. Faculty of Engineering, Autonomous University of Yucatan, Mérida, Mexico

2. Engineering Department, Autonomous University of Quintana Roo, Chetumal, Mexico

3. Faculty of Mathematics, Autonomous University of Yucatan, Mérida, Mexico

4. Molecular and Cell Biology Lab, National School of Higher Studies, National Autonomous University of Mexico, Mexico City, Mexico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4563995/10654458/10496466.pdf?arnumber=10496466

Reference13 articles.

1. The green promise of vertical farms [Blueprints for a Miracle]

2. Hydroponic farming – A state of art for the future agriculture

3. Artificial Intelligence and Internet of Things for Sustainable Farming and Smart Agriculture

4. Machine learning based crop growth management in greenhouse environment using hydroponics farming techniques

5. The IoT Energy Challenge: A Software Perspective

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