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@article{190075,
        author = {Mayuri Mahesh Sutar and Dr.Chandrakant Divate and Nikhita.R.Bhokare and Riya Santosh Mohite and Gayatri Arun Chavan and Husna Munwwar Naikwadi and Renuka Kumar Satnaik and Rutuja Chandrakant Jadhav},
        title = {Tree Classification and Detection Using Open Computer Vision},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {433-435},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190075},
        abstract = {Tree detection and classification play an important role in environmental monitoring, forest management, urban planning, and biodiversity conservation. With the advancement of computer vision techniques, automated tree analysis has become more accurate and efficient. This paper presents a method for tree classification and detection using Open Computer Vision (OpenCV). The proposed approach uses image processing techniques such as preprocessing, feature extraction, and classification to identify and classify different types of trees from images. The system aims to reduce manual effort, improve accuracy, and provide a cost-effective solution for large-scale tree monitoring.},
        keywords = {},
        month = {January},
        }