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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM35779
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the realm of precision agriculture and plant sciences, efficient monitoring of plant health and growth is pivotal. This paper presents the design and implementation of an advanced plant scanner that leverages modern technologies such as multispectral imaging, machine learning, and Internet of Things (IoT) connectivity to provide real-time analysis and monitoring of plant conditions. The plant scanner integrates high-resolution cameras and sensors capable of capturing a wide range of wavelengths, from visible to near-infrared, to detect subtle changes in plant physiology that are indicative of stress, disease, or nutrient deficiencies.
KEYWORDS
Publication Date
6/19/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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