GSSOC'23:Potato Disease detection

[Shubhamkumar-op]

Project Request

This project involves using deep learning techniques to develop an algorithm to identify the plant is infected by the disease or not

Field	Description
About	Potato Disease Prediction Using Tensorflow
Github	Shubhamkumar-op
Email	singhshubhamkumar778@gmail.com
Label	Project Request

https://github.com/Shubhamkumar-op

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Define You I am [ * ] GSSOC Participant

Plant Disease detection using CNN

Description

• I will use image classification using CNN using which a farmer can take a picture it will tell you if the plant has a disease or not
• In this I will use CNN model to classify image and detect disease

• The CNN model will be designed and trained using the collected dataset.
• Once the CNN model is trained, it will be tested using a separate set of images to evaluate its accuracy and performance.

Scope

• Implementing a CNN for potato disease detection aims to improve the accuracy, efficiency, and effectiveness of disease identification and management in potato farming, leading to higher crop productivity and reduced economic losses.
• After building the model woe can deploy a Mobile app so that it can be easily accessible to farmers

Timeline

Start time: Time of Assignment End time: July 15th.

[miraj0507]

kindly put the tick at the right place [*]

[Shubhamkumar-op]

done

[miraj0507]

[ * ]

[miraj0507]

Kindly fix the template issue and you are good to go

[Shubhamkumar-op]

done sir