Implementation of Oxygen Measurement in Leaf Using Image Processing
Smita D Chakalabbi
, Pavitra M Badiger
Oxygen Measurement in Leaves, Image Processing, Plant Health Monitoring, Chlorophyll Estimation
The project “Implementation of Oxygen Measurement in Leaf Using Image Processing” aims to develop a non-destructive
and cost-effective system for estimating oxygen production in plant leaves using digital image processing and machine learning
techniques. Oxygen production in plants is closely related to photosynthesis and chlorophyll content, which can be indirectly
analysed through leaf colour, texture, and area. In this project, leaf images are captured or obtained from a dataset and processed
using image preprocessing techniques such as resizing, colour conversion, and noise reduction.
"Implementation of Oxygen Measurement in Leaf Using Image Processing", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a908-a912, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606114.pdf
Volume 4
Issue 6,
June-2026
Pages : a908-a912
Paper Reg. ID: JETNR_235030
Published Paper Id: JETNR2606114
Downloads: 00090
Research Area: Science and Technology
Country: Dharwad, Karnataka, India
DOI: https://doi.org/10.56975/jetnr.v4i6.235030
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
