Identification of Mango Leaf Disease Using Deep Learning
Nimisha Manoharan, Vinod J Thomas, D. Anto Sahaya Dhas
Abstract
The proposed implementation is done in Google Colab Environment. Agriculture has become something quite just a way of feeding ever-increasing populations. It's necessary to believe agriculture wherever there's a further 70th population of an Asiain country. Meaning it feeds an honest sort of people. Less crop quality thanks to disease is taken into account to be the foremost necessary. By the identification of disease we can avoid loss of production. Disease detection is that the step of inputting a picture preprocessing, segmenting, feature extracting and classify the mages. The images of the leaves are given to identify plant diseases. It's also useful to classify illnesses of plants for farmers. In the field of agriculture, watching the well-being and illness of crops is very imperative for the roaring production of crops within the cultivation sector. This wants glorious time interval and employment package. The image handling technique are often used at the location of leaf disease. Within the field of agriculture, watching the well-being and illness of crops is very imperative for the roaring production of crops within the cultivation sector.