Optimizing Agricultural Irrigation through Real-Time Data Prediction-Reference-Cited by-同舟云学术

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Optimizing Agricultural Irrigation through Real-Time Data Prediction

Published:2024-04-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Networking and Communications (ICNWC)
language:
Short-container-title:

Author:

M Thenmozhi¹,Subbiah Priyanga¹,J Justina Michael¹,Theobard Rango²

Affiliation:

1. Faculty of Engineering and Technology,SRM Institute of Science and Technology,Department of Networking and Communications,Kattankulathur, Chengalpattu,India,603203

2. University of Rwanda (UR),College of Science and Technology (CST) African Center of Excellence in IoT (ACEIoT) Rwanda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537254/10537235/10537511.pdf?arnumber=10537511

Reference10 articles.

1. Sustainable Irrigation Requirement Prediction Using Internet of Things and Transfer Learning

2. IoT and ML‐based automatic irrigation system for smart agriculture system

3. Analysing agricultural information through machine learning and artificial intelligence for SMART IRRIGATION

4. Analysing agricultural information through machine learning and artificial intelligence for SMART IRRIGATION

5. Intelligent Time-based Irrigation System using Predictive Algorithms and Internet of Things

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