Weeds are unwanted plants that grow in fields alongside crops. They compete with crops for sunlight, water, and nutrients, which reduces the overall crop yield and increases farming costs. Traditionally, farmers remove weeds either manually by pulling them out or by using chemical herbicides. Manual removal is very hard and time-consuming, while chemical herbicides can harm the soil, water, and environment. They also make weeds stronger over time, creating herbicide-resistant weeds that are even harder to control.

To solve this problem, we have developed a Laser-Based Weed Removal System Using Object Detection. This system uses modern technology to detect weeds automatically and remove them without harming the crops. Instead of using chemicals, we use a laser to destroy the weeds precisely. This method is cleaner, faster, and better for the environment.

Our system works by first capturing real-time images of the field using a camera. Then, using object detection algorithms, the system identifies which plants are weeds and where they are located. Once the weeds are found, the control unit moves the laser accurately to the weed's location. A concentrated laser beam is fired at the weed to destroy it without touching or damaging the surrounding crops.

The process involves multiple steps: image capturing, weed identification, control signal generation, and precise laser targeting. We focused on making the system highly accurate to avoid damaging crops and to ensure only weeds are removed. By doing this, farmers can save money, protect the environment, and increase their crop yields without using harmful chemicals.

Our project brings together knowledge from multiple fields such as computer science, mechanical engineering, electronics, and communication. Students from these departments worked together to design, build, and test the system. We have also carefully planned the project to make it cost-effective and scalable for future improvements.