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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,76 @@
+# Libraries
+import streamlit as st
+import tensorflow as tf
+import numpy as np
+import pandas as pd
+from PIL import Image, UnidentifiedImageError
+
+# Load Function (requires combined_disease_data.csv)
+def load_disease_data():
+    df = pd.read_csv("plant_disease_data.csv")
+    disease_db = {}     # empty dictionary
+    for i, row in df.iterrows():
+        if row['Disease'] != 'N/A':
+            disease_db[row['Disease']] = {
+                "symptoms": row['Symptoms'],
+                "treatment": row['Treatment']
+            }
+    return disease_db, df['Class Name'].unique().tolist()
+disease_db, class_name = load_disease_data()
+
+# Model Function
+def model_prediction(test_image):
+    model = tf.keras.models.load_model('model.keras')
+    image = tf.keras.preprocessing.image.load_img(test_image, target_size=(128, 128))
+    input_arr = tf.keras.preprocessing.image.img_to_array(image)
+    input_arr = np.array([input_arr])  # Convert to batch
+    prediction = model.predict(input_arr)   # Predict on array
+    return np.argmax(prediction), prediction # Both index and prediction array
+
+st.title("Plant Disease Scanner")
+
+# Camera Input, Drag & Drop Uploader
+img_file_buffer = st.camera_input("Take a photo of the leaf")
+if img_file_buffer:
+    test_image = img_file_buffer
+else:
+    test_image = st.file_uploader("Upload a plant leaf photo: ", type=['jpg','jpeg','png'],
+                                key="uploader", accept_multiple_files=False,
+                                help="Take or upload a clear photo of a plant leaf")
+
+# Image Error Handling
+if test_image is not None:
+    try: Image.open(test_image); st.image(test_image, use_column_width=True)
+    except UnidentifiedImageError:
+        st.error("⚠️ Invalid image"); test_image = None  # Clear the invalid upload
+    except Exception as e:
+        st.error(f"⚠️ Error reading image: {str(e)}"); test_image = None
+
+# Predict Button with loading spinner, confidence meter, result (green), error (red)
+if st.button("Predict Disease"):
+    if test_image is None:
+        st.warning("⚠️ Please upload an image first!")
+    else:
+        with st.spinner("Analyzing the image..."):
+            try:
+                result_index, predictions = model_prediction(test_image)
+                confidence = np.max(predictions) * 100
+                st.success(f"🌱 {class_name[result_index]}")
+                st.progress(int(confidence))
+                st.caption(f"Confidence: {confidence:.1f}%")                
+                if result_index is not None:
+                    with st.expander(f"ℹ️ About {class_name[result_index]}"):
+                        disease_info = disease_db.get(class_name[result_index], 
+                            {"symptoms": "Information not available",
+                            "treatment": "Consult an agricultural expert"})
+                        st.subheader("Symptoms")
+                        st.write(disease_info["symptoms"])
+                        st.subheader("Treatment")
+                        st.write(disease_info["treatment"])
+
+            except TypeError:
+                st.error("⚠️ Invalid file format - please upload an image")
+            except UnidentifiedImageError:
+                st.error("⚠️ Corrupt image - please try another file")
+            except Exception as e:
+                st.error(f"⚠️ Prediction failed: {str(e)}")

model.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47aeb1894b0b47a4dc2f0d6553979737ffa86b648eeb758a131763dd077a93ee
+size 94230432

plant_disease_data.csv

@@ -0,0 +1,39 @@
+Class Name,Disease,Symptoms,Treatment
+Apple___Apple_scab,Apple___Apple_scab,"Olive-green to black spots on leaves, may cause leaf drop","Apply fungicides like myclobutanil, prune affected branches"
+Apple___Black_rot,Apple___Black_rot,"Brown spots with concentric rings, shriveled fruits","Remove infected plant material, apply captan fungicide"
+Apple___Cedar_apple_rust,Apple___Cedar_apple_rust,"Yellow-orange spots on leaves, gelatinous growths","Remove nearby junipers, apply fungicides in early spring"
+Apple___healthy,Apple___healthy,No visible disease symptoms,Maintain proper watering and fertilization
+Blueberry___healthy,Blueberry___healthy,No visible disease symptoms,Ensure acidic soil conditions and proper pruning
+Cherry_(including_sour)___Powdery_mildew,Cherry_(including_sour)___Powdery_mildew,White powdery spots on leaves and shoots,Apply sulfur or potassium bicarbonate fungicides
+Cherry_(including_sour)___healthy,Cherry_(including_sour)___healthy,No visible disease symptoms,Maintain good air circulation around trees
+Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot,Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot,Rectangular tan lesions with dark borders on leaves,"Rotate crops, use resistant varieties"
+Corn_(maize)___Common_rust_,Corn_(maize)___Common_rust_,"Small, round to elongate golden brown pustules",Apply fungicides at first sign of disease
+Corn_(maize)___Northern_Leaf_Blight,Corn_(maize)___Northern_Leaf_Blight,"Long, elliptical gray-green lesions","Use resistant hybrids, practice crop rotation"
+Corn_(maize)___healthy,Corn_(maize)___healthy,No visible disease symptoms,Maintain proper plant spacing
+Grape___Black_rot,Grape___Black_rot,Brown leaf spots with black fruiting bodies,"Apply fungicides before flowering, remove infected berries"
+Grape___Esca_(Black_Measles),Grape___Esca_(Black_Measles),"Tiger-stripe patterns on leaves, wood decay","Prune affected wood, apply wound protectants"
+Grape___Leaf_blight_(Isariopsis_Leaf_Spot),Grape___Leaf_blight_(Isariopsis_Leaf_Spot),Angular brown spots with yellow halos,Apply copper-based fungicides
+Grape___healthy,Grape___healthy,No visible disease symptoms,Maintain proper trellising and pruning
+Orange___Haunglongbing_(Citrus_greening),Orange___Haunglongbing_(Citrus_greening),"Yellow shoots, lopsided bitter fruit","Remove infected trees, control psyllid vectors"
+Peach___Bacterial_spot,Peach___Bacterial_spot,"Dark, angular leaf spots, fruit cracking",Apply copper sprays during dormancy
+Peach___healthy,Peach___healthy,No visible disease symptoms,Prune to improve air circulation
+"Pepper,_bell___Bacterial_spot","Pepper,_bell___Bacterial_spot",Small water-soaked spots that turn brown,"Use disease-free seed, apply copper sprays"
+"Pepper,_bell___healthy","Pepper,_bell___healthy",No visible disease symptoms,Avoid overhead watering
+Potato___Early_blight,Potato___Early_blight,Small brown spots with target-like rings,"Rotate crops, apply chlorothalonil fungicides"
+Potato___Late_blight,Potato___Late_blight,Greasy-looking dark lesions that spread quickly,"Destroy infected plants, use copper fungicides"
+Potato___healthy,Potato___healthy,No visible disease symptoms,Hill soil around plants
+Raspberry___healthy,Raspberry___healthy,No visible disease symptoms,Remove old canes after fruiting
+Soybean___healthy,Soybean___healthy,No visible disease symptoms,Rotate with non-legume crops
+Squash___Powdery_mildew,Squash___Powdery_mildew,White powdery coating on leaves,Apply sulfur or horticultural oil
+Strawberry___Leaf_scorch,Strawberry___Leaf_scorch,Purple spots with white centers on leaves,"Remove infected leaves, improve air flow"
+Strawberry___healthy,Strawberry___healthy,No visible disease symptoms,Renew beds every 2-3 years
+Tomato___Bacterial_spot,Tomato___Bacterial_spot,Small water-soaked spots with yellow halos,"Use pathogen-free seed, apply copper sprays"
+Tomato___Early_blight,Tomato___Early_blight,Dark spots with concentric rings on lower leaves,"Remove affected leaves, apply copper-based fungicides"
+Tomato___Late_blight,Tomato___Late_blight,Water-soaked lesions that turn brown and spread rapidly,"Destroy infected plants, use chlorothalonil fungicides"
+Tomato___Leaf_Mold,Tomato___Leaf_Mold,Yellow spots with olive-green undersides,"Reduce humidity, apply fungicides"
+Tomato___Septoria_leaf_spot,Tomato___Septoria_leaf_spot,Small circular spots with dark borders,"Remove lower leaves, apply copper fungicides"
+Tomato___Spider_mites Two-spotted_spider_mite,Tomato___Spider_mites Two-spotted_spider_mite,"Fine webbing, stippled yellow leaves","Apply miticides, increase humidity"
+Tomato___Target_Spot,Tomato___Target_Spot,Brown spots with concentric rings and yellow halos,Apply chlorothalonil fungicides
+Tomato___Tomato_Yellow_Leaf_Curl_Virus,Tomato___Tomato_Yellow_Leaf_Curl_Virus,Upward curling leaves with yellow margins,"Control whiteflies, remove infected plants"
+Tomato___Tomato_mosaic_virus,Tomato___Tomato_mosaic_virus,Mottled light and dark green patterns,"Destroy infected plants, disinfect tools"
+Tomato___healthy,Tomato___healthy,No visible disease symptoms,Rotate crops annually

plant_disease_data.py

@@ -0,0 +1,210 @@
+# Disease Classes
+
+class_name = ['Apple___Apple_scab',
+ 'Apple___Black_rot',
+ 'Apple___Cedar_apple_rust',
+ 'Apple___healthy',
+ 'Blueberry___healthy',
+ 'Cherry_(including_sour)___Powdery_mildew',
+ 'Cherry_(including_sour)___healthy',
+ 'Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot',
+ 'Corn_(maize)___Common_rust_',
+ 'Corn_(maize)___Northern_Leaf_Blight',
+ 'Corn_(maize)___healthy',
+ 'Grape___Black_rot',
+ 'Grape___Esca_(Black_Measles)',
+ 'Grape___Leaf_blight_(Isariopsis_Leaf_Spot)',
+ 'Grape___healthy',
+ 'Orange___Haunglongbing_(Citrus_greening)',
+ 'Peach___Bacterial_spot',
+ 'Peach___healthy',
+ 'Pepper,_bell___Bacterial_spot',
+ 'Pepper,_bell___healthy',
+ 'Potato___Early_blight',
+ 'Potato___Late_blight',
+ 'Potato___healthy',
+ 'Raspberry___healthy',
+ 'Soybean___healthy',
+ 'Squash___Powdery_mildew',
+ 'Strawberry___Leaf_scorch',
+ 'Strawberry___healthy',
+ 'Tomato___Bacterial_spot',
+ 'Tomato___Early_blight',
+ 'Tomato___Late_blight',
+ 'Tomato___Leaf_Mold',
+ 'Tomato___Septoria_leaf_spot',
+ 'Tomato___Spider_mites Two-spotted_spider_mite',
+ 'Tomato___Target_Spot',
+ 'Tomato___Tomato_Yellow_Leaf_Curl_Virus',
+ 'Tomato___Tomato_mosaic_virus',
+ 'Tomato___healthy']
+
+# Disease Symptoms and Treatment
+
+disease_db = {
+"Apple___Apple_scab": {
+"symptoms": "Olive-green to black spots on leaves, may cause leaf drop",
+"treatment": "Apply fungicides like myclobutanil, prune affected branches"
+},
+"Apple___Black_rot": {
+"symptoms": "Brown spots with concentric rings, shriveled fruits",
+"treatment": "Remove infected plant material, apply captan fungicide"
+},
+"Apple___Cedar_apple_rust": {
+"symptoms": "Yellow-orange spots on leaves, gelatinous growths",
+"treatment": "Remove nearby junipers, apply fungicides in early spring"
+},
+"Apple___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Maintain proper watering and fertilization"
+},
+"Blueberry___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Ensure acidic soil conditions and proper pruning"
+},
+"Cherry_(including_sour)___Powdery_mildew": {
+"symptoms": "White powdery spots on leaves and shoots",
+"treatment": "Apply sulfur or potassium bicarbonate fungicides"
+},
+"Cherry_(including_sour)___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Maintain good air circulation around trees"
+},
+"Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot": {
+"symptoms": "Rectangular tan lesions with dark borders on leaves",
+"treatment": "Rotate crops, use resistant varieties"
+},
+"Corn_(maize)___Common_rust_": {
+"symptoms": "Small, round to elongate golden brown pustules",
+"treatment": "Apply fungicides at first sign of disease"
+},
+"Corn_(maize)___Northern_Leaf_Blight": {
+"symptoms": "Long, elliptical gray-green lesions",
+"treatment": "Use resistant hybrids, practice crop rotation"
+},
+"Corn_(maize)___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Maintain proper plant spacing"
+},
+"Grape___Black_rot": {
+"symptoms": "Brown leaf spots with black fruiting bodies",
+"treatment": "Apply fungicides before flowering, remove infected berries"
+},
+"Grape___Esca_(Black_Measles)": {
+"symptoms": "Tiger-stripe patterns on leaves, wood decay",
+"treatment": "Prune affected wood, apply wound protectants"
+},
+"Grape___Leaf_blight_(Isariopsis_Leaf_Spot)": {
+"symptoms": "Angular brown spots with yellow halos",
+"treatment": "Apply copper-based fungicides"
+},
+"Grape___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Maintain proper trellising and pruning"
+},
+"Orange___Haunglongbing_(Citrus_greening)": {
+"symptoms": "Yellow shoots, lopsided bitter fruit",
+"treatment": "Remove infected trees, control psyllid vectors"
+},
+"Peach___Bacterial_spot": {
+"symptoms": "Dark, angular leaf spots, fruit cracking",
+"treatment": "Apply copper sprays during dormancy"
+},
+"Peach___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Prune to improve air circulation"
+},
+"Pepper,_bell___Bacterial_spot": {
+"symptoms": "Small water-soaked spots that turn brown",
+"treatment": "Use disease-free seed, apply copper sprays"
+},
+"Pepper,_bell___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Avoid overhead watering"
+},
+"Potato___Early_blight": {
+"symptoms": "Small brown spots with target-like rings",
+"treatment": "Rotate crops, apply chlorothalonil fungicides"
+},
+"Potato___Late_blight": {
+"symptoms": "Greasy-looking dark lesions that spread quickly",
+"treatment": "Destroy infected plants, use copper fungicides"
+},
+"Potato___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Hill soil around plants"
+},
+"Raspberry___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Remove old canes after fruiting"
+},
+"Soybean___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Rotate with non-legume crops"
+},
+"Squash___Powdery_mildew": {
+"symptoms": "White powdery coating on leaves",
+"treatment": "Apply sulfur or horticultural oil"
+},
+"Strawberry___Leaf_scorch": {
+"symptoms": "Purple spots with white centers on leaves",
+"treatment": "Remove infected leaves, improve air flow"
+},
+"Strawberry___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Renew beds every 2-3 years"
+},
+"Tomato___Bacterial_spot": {
+"symptoms": "Small water-soaked spots with yellow halos",
+"treatment": "Use pathogen-free seed, apply copper sprays"
+},
+"Tomato___Early_blight": {
+"symptoms": "Dark spots with concentric rings on lower leaves",
+"treatment": "Remove affected leaves, apply copper-based fungicides"
+},
+"Tomato___Late_blight": {
+"symptoms": "Water-soaked lesions that turn brown and spread rapidly",
+"treatment": "Destroy infected plants, use chlorothalonil fungicides"
+},
+"Tomato___Leaf_Mold": {
+"symptoms": "Yellow spots with olive-green undersides",
+"treatment": "Reduce humidity, apply fungicides"
+},
+"Tomato___Septoria_leaf_spot": {
+"symptoms": "Small circular spots with dark borders",
+"treatment": "Remove lower leaves, apply copper fungicides"
+},
+"Tomato___Spider_mites Two-spotted_spider_mite": {
+"symptoms": "Fine webbing, stippled yellow leaves",
+"treatment": "Apply miticides, increase humidity"
+},
+"Tomato___Target_Spot": {
+"symptoms": "Brown spots with concentric rings and yellow halos",
+"treatment": "Apply chlorothalonil fungicides"
+},
+"Tomato___Tomato_Yellow_Leaf_Curl_Virus": {
+"symptoms": "Upward curling leaves with yellow margins",
+"treatment": "Control whiteflies, remove infected plants"
+},
+"Tomato___Tomato_mosaic_virus": {
+"symptoms": "Mottled light and dark green patterns",
+"treatment": "Destroy infected plants, disinfect tools"
+},
+"Tomato___healthy": {
+"symptoms": "No visible disease symptoms",
+"treatment": "Rotate crops annually"
+}
+}
+
+# class_name index is same as disease_db index
+
+import csv
+with open('plant_disease_data.csv', 'w', newline='') as f:
+    writer = csv.writer(f)
+    writer.writerow(["Class Name", "Disease", "Symptoms", "Treatment"])
+    
+    for disease in class_name:
+        info = disease_db[disease]
+        writer.writerow([disease, disease, info["symptoms"], info["treatment"]])
+        
+# the result is a CSV with all diseases

requirements.txt

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+tensorflow==2.10.0
+scikit-learn==1.3.0
+numpy==1.24.3
+matplotlib==3.7.2
+pandas==2.1.0
+seaborn==0.13.0
+streamlit