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@article{178450,
        author = {Chintu Raj Gupta and Gaurav Pathak and Abhishek Mishra and Mr. Sunil Kumar Yadav and Dr. S.K Singh},
        title = {Plant Species Detection Using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4275-4279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178450},
        abstract = {Plants are central to maintaining life on Earth, providing vital resources such as food, medicine, and shelter, as well as maintaining biodiversity and ecological balance. Traditional approaches to plant species identification tend to be manual, time-consuming, and reliant on specialized knowledge, hence less accessible to the general public. This paper introduces the design of an intelligent mobile app that employs deep learning algorithms to facilitate effective and precise plant species recognition and their growth stages. The system is optimized with a user-friendly interface to provide simplicity of use across various groups of users. Moreover, the app involves a novel reward system using blockchain and crypto technologies to encourage users to adopt sustainable behavior. Both educational and conservation goals, this novel framework integrates artificial intelligence with environmental imperatives, with the goal of augmenting environmental knowledge and enhancing sustainable behavior by breaking past the constraints of conventional identification mechanisms.},
        keywords = {Plant diseases Deep learning Precision agriculture Generalization Review Survey},
        month = {May},
        }