Crop and Weed Segmentation using UNET and Segment Anything Model

I'm looking for someone to use UNET to perform crop and weed segmentation on vegetation with an emphasis on crops. The overall purpose of this project is to improve weed control by using a deep learning model to accurately segment out the crops from the weeds. As part of this project, I'm expecting that the freelancer will provide a detailed report with useful insights from the segmentation process. Timely and accurate results are essential. If you think you have the skills and experience to successfully complete this project, I'd love to hear from you.