The project aims to build a deep learning model that can identify the diseases shown on the leaves of the plant and suggest the precautions.
Agriculture is the most important sector in today’s life. Most of the plants are affected by a wide variety of bacterial and fungal diseases. Diseases on plants placed a major constraint on the production and major threat to food security. Hence, early and accurate identification of plant diseases is essential to ensure high quantity and best quality. In recent years, the number of diseases on plants and the degree of harm caused has increased due to the variation in pathogen varieties, changes in cultivation methods and inadequate plant protection techniques.
An automated system is introduced to identify different diseases on plants by checking the symptoms shown on the leaves of the plant. Deep learning techniques are used to identify the diseases and suggest the precautions that can be taken for those diseases.
Mentor Rating 4.8 / 5 (6)
American University of Sharja, Sharja,UAE
It was a fruitful experience. A clear road map was provided to follow throughout the project along with an in-depth introduction of the packages required. The guided labs were extremely helpful and easy to follow.
GITAM University,Hyderabad, India
The Guided Projects were not only based on solving real world problems but were also really informative, the smartinternz platform has each and every step in detail and even though if we were stuck at any point the Mentors would help us to resolve all our queries. overall it was a great experience.
College of Engineering and Technology, Bhubaneswar, Odisha, India
I took Part of Aritificial Intelligence Guided Project from Smartinternz, it was a wonderful experience and highly motivating, It's a very innovative and smart platform for internships. It provides smarter ways of guiding and interacting with participants and educating through guided labs and projects. It really helped me in giving a boost to my career.