PlantationNet: Deep Learning for Satellite Image Classification

Trained a deep learning U-NET model using Python to classify various plantations within satellite images, demonstrating proficiency in machine learning techniques. Conducted comparative analysis of different datasets utilizing statistical methods and Python, revealing that 16-bit data resulted in a higher accuracy rate compared to 8-bit data.