A Semi-Supervised Method for Smart Irrigation Using Real Data In the Mekong Delta-Reference-Cited by-同舟云学术

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A Semi-Supervised Method for Smart Irrigation Using Real Data In the Mekong Delta

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Computing and Analytics (ACOMPA)
language:
Short-container-title:

Author:

La Hoang-Loc¹,Quang Binh Pham¹,Tho Nguyen Tran²,Anh Trung Dang²,Thoai Nam¹

Affiliation:

1. Ho Chi Minh City University of Technology (HCMUT),Faculty of Computer Science and Engineering,High Performance Computing Laboratory,Ho Chi Minh City,Vietnam

2. Vietnam National University Ho Chi Minh City,TIST Lab, Advanced Institute of Interdisciplinary Science and Technology,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005571/10005572/10005588.pdf?arnumber=10005588

Reference21 articles.

1. Evaluation of Closed-Loop Site-Specific Irrigation with Wireless Sensor Network

2. A Systems Engineering Approach to Viticulture On-Farm Irrigation

3. Neural Network-Based Irrigation Control for Precision Agriculture

4. Closed-loop drip irrigation control using a hybrid wireless sensor and actuator network

5. MLflow - A platform for the machine learning lifecycle,0

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