Implementation of Smart Agricultural Monitoring System Using Raspberry Pi-Reference-Cited by-同舟云学术

Implementation of Smart Agricultural Monitoring System Using Raspberry Pi

Published:2021-11-27 Issue: Volume: Page:
ISSN:
Container-title:2021 Innovations in Power and Advanced Computing Technologies (i-PACT)
language:
Short-container-title:

Author:

Geethamani R.¹,Jaganathan S.²,S Murugappan³,S Navin kumaar³,S Pavankalayan³,R Jeevarathinam³

Affiliation:

1. Sri Krishna College of Engineering and Technology, EEE,Coimbatore,Tamilnadu,India

2. Dr.N.G.P Institute of Technology,Department of EEE,Coimbatore,Tamilnadu,India

3. EEE,Sri Krishna College of Engineering and Technology,Coimbatore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9696358/9696444/09696484.pdf?arnumber=9696484

Reference19 articles.

1. Plant Disease Detection and its Treatment using Image Processing;manisha;International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering,2016

2. Identification of Cotton Leaf Diseases Using Raspberry PI;dumare;International Journal on Recent and Innovation Trends in Computing and Communication,2017

3. Implementation of Image Segmentation Using Raspberry PI;sankari;International Conference on Energing Engineering Trends and Science,0

4. IoT Based Smart Greenhouse for Future using Node MCU

5. Garbage Management System

Cited by 4 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. NodeMCU-Blynk Integration: Cultivating Remote Control and Monitoring For Peace Lily (Spathiphyllum) Plant Growth and Health;2024 IEEE International Conference on Applied Electronics and Engineering (ICAEE);2024-07-27

2. Intruder Motion Detection with Notification System;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

3. IoT based Data Sensing System for AutoGrow, an Autonomous greenhouse System for Precision Agriculture;2023 IEEE Applied Sensing Conference (APSCON);2023-01-23

4. Towards automating irrigation: a fuzzy logic-based water irrigation system using IoT and deep learning;Modeling Earth Systems and Environment;2022-07-09