Irrigation Management: A Pilot Study for Automatic Water Level Measurement and Report System Development Using Machine Learning Associated with Modified Images-Reference-Cited by-同舟云学术

Irrigation Management: A Pilot Study for Automatic Water Level Measurement and Report System Development Using Machine Learning Associated with Modified Images

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Author:

Daengsi Therdpong¹,Cheevanichapan Kanokpon²,Soteyome Urin³,Thimthong Tharis²

Affiliation:

1. RMUTP,Sustainable Industrial Management Engineering,Bangkok,Thailand

2. The Brainstem Co.,Ltd.,Artificial Intelligence Solution,Bangkok,Thailand

3. Regional Irrigation Office 3,Royal Irrigation Department,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051846/10052791/10052826.pdf?arnumber=10052826

Reference17 articles.

1. An intelligent water level monitoring method based on SSD algorithm

2. A Computer Vision System for Staff Gauge in River Flood Monitoring

3. Automatic water level monitoring system based on computer vision technology for supporting the irrigation modernization

4. Field performance of the GaugeCam image-based water level measurement system

5. Water Level Estimation Based on Image of Staff Gauge in Smart City

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