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  • Classification Models/Tomato Leaf Diseases Classification

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# **Tomato Leaf Diseases Classification** 🍅
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### 🎯 Goal
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The aim of this project is to make a classification model, which will classify the tomatoes based on its diseases , so that farmers can find cure to thier diseases.
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### 🧵 Dataset : [LINK](https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf)
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### 🧾 Description
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Tomato disease classification involves identifying and diagnosing various diseases affecting tomato plants by analyzing the visual symptoms on leaves, stems, and fruits. Common diseases include early blight, late blight, and leaf spot, which can cause significant crop loss if not detected and managed promptly.
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### 📚 Libraries Needed
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- os
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- tensorflow
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- matplotlib.pyplot
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- matplotlib.image
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- tensorflow.keras.models
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- tensorflow.keras.optimizers
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- tensorflow.keras.callbacks
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- tensorflow.keras.regularizers
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- tensorflow.keras.preprocessing.image
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- tensorflow.keras.layers
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- tensorflow.keras.applications
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## EDA Result 👉 [ Tomato Leaf Classification.ipynb](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Tomato%20Leaf%20Diseases%20Classification/Tomato_Leaf_Diseases_Classification.ipynb)

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