Agriculture is one field which has a high impact on life and economic status of human beings. Improper management leads to loss in agricultural products. Diseases are detrimental the plant’s health turn affects its growth. To ensure minimal cultivated crop, it crucial supervise Convolutional Neural Network class Deep learning used majorly for image classification, other mainstream tasks such as...

Cotton is one of the most important cash and fiber crops in India. Agricultural machine learning plays a very role this agricultural industry. In paper, use an object detection algorithm namely Mask RCNN along with transfer experimented to find out if it fit detect cotton leaf diseases practical situations. The model training accuracy found as 94 % whereas total loss value continuously decreasi...

When plants and crops are suffering from pests it affects the agricultural production of country. Usually, farmers or experts observe with eye for detection identification disease. But this method is often time processing, expensive inaccurate. Automatic using image processing techniques provide fast accurate results. This paper cares a replacement approach to development disease recognition mo...

The early detection of Alzheimer's disease, a neurodegenerative ailment that affects both cognitive and social functioning, can be accomplished using deep learning technology. Deep is more accurate efficient than human diagnosis in detecting functional connectivity changes the brain networks people with MCI. Early Mild Cognitive Impairment (MCI) reduce disease's development. However, achieving ...