UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404B19


Registration ID:
538093

Page Number

l139-l142

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Title

IoT Smart Plant Monitoring System

Abstract

The proliferation of Internet of Things (IoT) technology has opened up innovative avenues for enhancing agricultural practices. In this paper, we propose an IoT-enabled smart plant monitoring system utilizing camera technology to provide real-time monitoring and analysis of plant health parameters. The system comprises a network of IoT devices including cameras strategically positioned within an agricultural environment. These cameras capture high-resolution images of plants at regular intervals. Image processing algorithms are employed to analyze these images and extract relevant information such as plant growth rate, leaf coloration, pest infestation, and disease symptoms. Furthermore, the system integrates with cloud-based platforms for data storage and analysis, allowing farmers to access plant health metrics remotely via web or mobile interfaces. Machine learning techniques are leveraged to continuously improve the accuracy of plant health assessments over time, enabling proactive decision-making and precise resource allocation. The proposed IoT smart plant monitoring system offers several advantages over traditional methods, including reduced labor costs, early detection of plant stressors, and optimized resource utilization. Additionally, it facilitates data-driven insights that empower farmers to make informed decisions to improve crop yield and quality. The system is designed to be user-friendly, allowing individuals to monitor their plants remotely through a web or mobile interface. Utilizing Internet of Things (IoT) principles, the Smart Plant Monitoring System establishes a network of cameras and sensors that communicate seamlessly with a central processing unit. The captured visual data is analyzed to detect anomalies, diseases, or stress factors in plants, while environmental parameters contribute to a comprehensive understanding of the growing conditions. In conclusion, the Smart Plant Monitoring System using a camera contributes to the advancement of smart agriculture and sustainable plant care practices.

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"IoT Smart Plant Monitoring System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l139-l142, April-2024, Available :http://www.jetir.org/papers/JETIR2404B19.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IoT Smart Plant Monitoring System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl139-l142, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B19.pdf

Publication Details

Published Paper ID: JETIR2404B19
Registration ID: 538093
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: l139-l142
Country: hyderabad, Telengana , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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