Deep Learning based Pathogen Infestation Detection In Plants

India boasts forest and tree cover comprising 24.56% of its total geographical area and an arable land area of 159.7 million hectares. This inevitably calls for the need for fauna management. Tropical and subtropical climates are ideal for the growth and development of pathogens and pests. Although India is a proud home to a huge variety of crops, plants, trees, it also finds virus diseases and their vectors in abundance. Continual usage of antifungal agents, insecticides, and pesticides is increasing the immunogenicity of pathogens. The rapid fluctuations in climate change are also playing a role in increasing disease rates exponentially. Misdiagnosis of disease impacting crops could lead to misuse of chemicals and emergence of resistant pathogen strains, an outbreak of new plant diseases, economic loss, environmental impacts, and increased input costs. Manual inspection and diagnosis are expensive and time inefficient. The application is a deep-learning powered computer vision-aided application that is rendered in a cross platform mobile application that takes charge by examining the disease rate of leaves and provides trend pattern with insightful analysis and accuracy checkpoints towards nurturing better lives for plants.