Rice Crop Disease Prediction Using IBM Visual Recognition Service

Learn how to process image data and classify crop disease using IBM visual Recognition service

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  • ( 72 )
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    8 Hrs
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    Basic
Project Description
Agriculture is the most important sector in today’s life. Rice is the major food crop in India and across the globe. It is the primary staple food in many countries. It is affected by wide variety of diseases. Diseases on plants placed a major constraint on the production and a major threat to food security. Hence, early and accurate identification of plant diseases is essential to ensure high quantity and best quality.  In this project, we’re going to build a visual recognition model in order to identify different Rice crop disease(Blast,Flase smunt etc)
 
Services Used:

  • IBM Watson Visual Recognition
  • Node-Red 
  • Cloud Object Storage Service
  • Watson Studio Service

Technical Architecture:


Project Activities

Skills you will develop

  • IBM Cloud
  • IBM Watson Visual Recognition
  • Node- RED
  • IBM Watson Assistant

Mentor

pradeepthi duggaraju
pradeepthi duggaraju

AI Developer

Mentor Rating star-fill4.8 / 5 (6)

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Reviews
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SYED RAZA

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.

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Harshitha Josyula

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.

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Anuraag Moharana

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.