Implementation of Oxygen Measurement in Leaf Using Image Processing

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.