Plant Disease Detection Using Deep Learning

Agriculture is extremely important in human life. Almost 60% of the population engaged some kind agriculture, either directly or indirectly. There are no technologies traditional system to detect diseases various crops an agricultural environment, which why farmers not interested increasing their productivity day by day. Crop have impact on growth respective species, so early detection critical. Many Machine Learning (ML) models been used and classify crop diseases, but with recent advances a subset ML, Deep (DL), this area research appears lot promise terms improved accuracy. The proposed method uses convolutional neural network Neural Network identify recognise disease symptoms effectively accurately. Furthermore, multiple efficiency metrics assess these strategies. This article offers thorough description DL that visualise diseases. several gaps identified from greater transparency for detecting plants can be obtained, even before occur. methodology aims develop convolution network-based strategy plant leaf disease.