Soil Image Classification using Deep Learning

Soil Image Classification using Deep Learning

Chandika Mohan Babu, Athunuri Nikitha, Athunuri Mahendra Reddy , Amara Kowshick , Akula Phanidhar

Malla Reddy University
Hyderabad, Telangana

Abstract— Soil classification is an important process for agricultural and environmental management. Traditional methods for soil classification are time-consuming and labor-intensive. In this project, we propose an intelligent machine learning model for soil image classification that can automate and improve the accuracy of soil classification.

We collected a large dataset of soil images with various soil types, textures, and characteristics. We pre-processed the dataset by resizing, cropping, and normalizing the images to a standardized format. We then extracted meaningful features from the pre-processed images using deep learning techniques and traditional computer vision methods.

Keywords—Deep Learning, CNN