IoT-Aided Intelligent Irrigation System Using Edge Computing-Reference-Cited by-同舟云学术

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IoT-Aided Intelligent Irrigation System Using Edge Computing

Published:2023-11-01 Issue: Volume:25 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
language:
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Author:

Ayoade Idowu Adetona¹,Nwakanma Cosmas Ifeanyi²,Alimi Sheriff³,Akinde Olusola Kunle⁴,Adebisi Oluwadare¹,Oladeji Dolapo Michael¹,Ajayi Dolapo Boluwatife¹,Kayode Michael Ife¹

Affiliation:

1. First Technical University,Department of Mechatronics Engineering,Ibadan,Nigeria

2. Kumoh National Institute of Technology,ICT Convergence Research Center,Gumi,South Korea

3. Babcock University Ilishan,Department of Computer Science and Artificial Intelligence,Remo,Nigeria

4. First Technical University,Department of Electrical and Electronics Engineering,Ibadan,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379199/10379205/10429854.pdf?arnumber=10429854

Reference35 articles.

1. Agricultural livelihood systems typology for coping with diversity in smallholder farming system research: A demonstrative case in South-western Burkina Faso

2. Delivering the latest global water resource simulation results to the public

3. A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China

4. Development of an Autonomous Vehicle for Smart Irrigation

5. The role of recall periods when predicting food insecurity: A machine learning application in Nigeria

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