def explain_prediction(label):
    return f"The model detected features consistent with {label}, based on trained visual patterns."

def get_treatment_and_fertilizer(label):
    treatments = {
        "Powdery Mildew": ("Apply sulfur-based fungicide", "Add compost-rich organic fertilizer"),
        "Leaf Rust": ("Use copper spray", "Potassium-rich fertilizer"),
    }
    return treatments.get(label, ("General pruning and monitoring", "Balanced NPK fertilizer"))

def check_alert(label):
    return label in ["Leaf Rust", "Anthracnose", "Blight"]