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MASK RCNN – Rice Disease Detection using Deep Learning

January 28, 2020

During the rice growth, the blast disease
that occur in the plant is the major problem faced by the farmer and causes
huge loss apart from other problems like pesticides and environmental factors
although several methods are available to detect disease in the crop like image
processing method and remote sensing method but the accuracy of such system
is poor. that’s why we develop masks RCNN and model to recognize the leaf blast in its first phase to avoid the damage of rice plants. depending on the data set
which we have trained the accuracy of the model is 80 to 90 percent let’s have
a look at the practical implementation of Python code on Jupyter notebook to buy these projects you can contact or
you can also share any project idea to get proper guidance thank you

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