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@article{197722,
        author = {PREM NIMKAR and Bhushan Kiswe and Sarthak Deulkar and Shreyash Ingle and Dr Akshay Utane},
        title = {SMART AERIAL PLANT CLASSIFICATION SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7236-7242},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197722},
        abstract = {The rapid advancement of machine learning (ML) and unmanned aerial vehicles, commonly known as drones, has opened new possibilities for plant monitoring. This paper presents a novel approach for the detection of plant names using ML-based drone technology. The system leverages high resolution aerial imagery captured by drones and employs advanced machine learning algorithms to identify and classify various plant names in real-time. To facilitate efficient and effective plant name monitoring, a camera equipped will be deployed to take aerial photographs. An edge computing paradigm of Machine Learning is employed to process this image in order to make decisions with the least amount of latency possible.
This Research presents a drone-based plant recognition system that helps identify specific plants from an aerial view using machine learning. A small drone is used to capture images of plants while flying over the area, and the images are transmitted to a server for further analysis. The system is trained using a dataset of selected plants so that it can recognize and display the plant name from the captured images. By combining aerial monitoring with intelligent image analysis, the system aims to make plant identification quicker and more convenient. This approach can help reduce the effort involved in manual inspection and support more efficient monitoring of plants in agricultural or green environments.},
        keywords = {Machine Learning (ML), Drone-Based Plant Recognition System, Dataset, Plant Name, Image Analysis.},
        month = {April},
        }