# Automated forest land division using deep learning and drone imagery

## TL;DR

This paper introduces an automated method using drones and deep learning to count trees for efficient forest land division.

## Contribution

The novel contribution is an automated tree enumeration system using drone imagery and computer vision for forest land division.

## Key findings

- The system accurately detects tree crowns in drone images.
- It supports informed decision-making in forest land division projects.

## Abstract

This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. Our approach leverages drone imagery and advanced computer vision algorithms. The solution demonstrates the potential to accurately detect tree crowns, facilitating informed decision-making in forest land division projects, promoting sustainability and efficient resource management.