An Intelligent and Cost-Effective IoT-Based Irrigation System Using Machine Learning-Reference-Cited by-同舟云学术

An Intelligent and Cost-Effective IoT-Based Irrigation System Using Machine Learning

Published:2024-03-15 Issue: Volume:30 Page:380-385
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
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Author:

Kadiyala Sreedevi¹,Potluri Chandra Srinivas²,Birke Ali Hussen³,Mehra Aashish⁴,Rajput Sneha⁵,Padmavathi Katakam⁶

Affiliation:

1. Guru Nanak Institutions Technical Campus,Department of Computer Science and Engineering,Hyderabad,India

2. Werabe University,Department of Information Technology Werabe,Ethiopia

3. Werabe University,Department of Information Systems Werabe,Ethiopia

4. School of Retail Management, Symbiosis University of Applied Sciences,Indore,India

5. Prestige Institute of Management and Research,Gwalior,India

6. Stanley College of Engineering and Technology for Women,Department of Electronics and Communication,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489218.pdf?arnumber=10489218

Reference21 articles.

1. The economic value of a climate service for water irrigation;Delpiazzo;A case study for Castiglione District, Emilia-Romagna, Italy. Climate Services,2023

2. Internet of Things Application: E-health data acquisition system and Smart agriculture

3. Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management

4. IoT based smart irrigation system and nutrient detection with disease analysis

5. An Integrated Approach for Analysis of Electronic Health Records Using Blockchain and Deep Learning