🌱 Weed Detection using CNN

📌 Overview

This project uses a Convolutional Neural Network (CNN) to classify images as crop or weed.

🧠 Working Principle

The model learns patterns such as edges, shapes, and textures from images and uses them to classify inputs.

⚙️ Tech Stack

• Python
• TensorFlow
• OpenCV
• NumPy

🚀 How to Run

1. Run day4.py to train model
2. Run day5.py to test images

📊 Results

Training

Prediction

⚠️ Limitations

• Small dataset
• Similar-looking crops and weeds may confuse model

🚀 Future Work

• Add more data
• Use object detection (YOLO)
• Real-time camera detection