Abstract
In India, agriculture takes a significant part in the Indian economy. This is the necessary and main income for many humans. So, we need to increase fruit production. Fruit diseases detrimentally affect the fruits. Majorly effect of fruit diseases is caused by fungi and bacteria. Early detection of fruit disease is used to predict fruit disease and saves investments for farmers. Finding the best fruit disease detection technique is used to prevent fruit disease in the early stages [1]. Some researchers take note to find the fruit disease recognition system to save the investments for farmers. The objective of this paper is to compare a deep learning classification technique for fruit disease detection. This study noticed that a convolutional neural network (CNN) gives greater accuracy and predicts many fruit diseases.
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