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@article{165440,
        author = {Dr.MADDALA LAKSHMI NARSIMHA CHARYULU},
        title = {Evaluating the use of an artificial neural network to figure out leaf area},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {2199-2204},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165440},
        abstract = {An essential factor in plant monitoring is leaf area. For an accurate measurement of leaf area, an automated approach is required. This paper outlines a process for The measuring of leaf area automatically from images is suggested. The Without referencing the thing, a leaf was photographed. From the picture, four features were retrieved and utilised as input for estimating leaf area, an artificial neural network. The Results from tests indicate that the suggested approach can with a mean absolute relative error of less than when measuring leaf area calculation time of 1% or less. },
        keywords = {image processing, autonomous leaf-area measuring, artificial neural network},
        month = {June},
        }