• Different stages of disease detection in squash plant based on machine learning

    11 days ago - By Journal of Biosciences

    Abstract
    To increase agriculture production, accurate and fast detection of plant disease is required. Expert advice is needed to detect disease in plants, nutrition deficiencies or any other abnormalities caused by extreme weather conditions. But this process is very tedious, costly, and takes more time. In this paper, hyperspectral imaging and machine learning were used to detect different stages of the powderly mildew disease in squash plants. An unmanned aerial vehicle was used to collect the data from the field and Locality Preserving Discriminative Broad Learning was used to...
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