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Overview:
Aim is to develop a predictive model for Plant disease using TensorFlow.
Objective:
The primary objective of this project is to create a machine-learning model that can accurately predi…
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Develop a convolutional neural network (CNN) model to accurately detect and classify diseases in plant leaves from images, helping farmers manage crop health more effectively.
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### Is your feature request related to a problem? Please describe.
NA
### Describe the solution you'd like.
This project develops a lightweight machine learning model using TinyML techniques to det…
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Add preprocessing steps into a function for better readability. Hyper parameter tuning and visualisation of model performance at the end. I am a GSSOC'24 Contributor, please assign the issue.
Thank y…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Plant disease prediction
:red_circle: **Aim** :Plant Disease Prediction with Image Classification
:…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
I will use the image dataset to train the CNN Model,
To predict the CrowdAI Plant Disease…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
i will make a crop disease classification model using the following dataset :
Dataset Ove…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Kashmiri Apple Plant Disease Detection
:red_circle: **Aim** : Create a DL model which will identify the…
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**Overview:**
We propose the development and integration of an R U-Net model for predicting plant diseases using a Kaggle dataset. The U-Net architecture, widely known for its effectiveness in biom…
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Create evaluate.py https://github.com/Recode-Hive/machine-learning-repos/pull/303
Create train.py https://github.com/Recode-Hive/machine-learning-repos/pull/295
Create plant-disease-detection https:…