An Edge-computing flow meter reading recognition algorithm optimized for agricultural IoT network-Reference-Cited by-同舟云学术

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An Edge-computing flow meter reading recognition algorithm optimized for agricultural IoT network

Published:2023-10 Issue: Volume:5 Page:100236
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Liu Le,Qiao Xin^ORCID,Liang Wei-zhen,Oboamah Joseph,Wang Jun,Rudnick Daran R.,Yang Haishun,Katimbo Abia,Shi Yeyin

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference23 articles.

1. Nebraska Groundwater Quality Monitoring Report, Nebraska Department of Environmental Quality, 2018. https://nebraskalegislature.gov/FloorDocs/106/PDF/Agencies/Environment_and_Energy__Nebraska_Department_of_/702_20201130-150859.pdf. Accessed on March 9th, 2022.

2. Lora Alliance, 2015. https://lora-alliance.org/resource_hub/what-is-lorawan/.

3. Understanding the limits of LoRaWAN;Adelantado;IEEE Commun. Mag.,2017

4. Digital electric meter reading recognition based on horizontal and vertical binary pattern;Anis,2017

5. A mobile recognition system for analog energy meter scanning;Cerman,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities;Electronics;2024-05-11

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