Description: PINT (Program for Identifying Nursery Trees) is a software tool developed by the University of South Australia designed to automatically detect and locate individual trees—specifically newly planted seedlings—using high-resolution drone imagery.
Key Aspects of PINT:
Purpose: It aims to reduce the need for manual, ground-based surveys by using drone (UAV) imagery to detect seedling stocking rates, providing a cost-effective, high-accuracy assessment of forest plantations.
Performance: The software has shown high True Positive Rates (TPR) and low False Positive Rates (FPR), performing well for radiata and Caribbean pine.
Development and Transition: Originally developed within a research framework, PINT is currently transitioning into operational use with forestry companies, including tailored modifications to improve user interface and functionality.
Key Partners: The project involves collaborations with partners including HQ Plantations, HV Plantations, Timberlands Pacific, and Wespine Industries.
Future Scope: Current efforts aim to modify PINT to detect seedlings within eucalypt plantations and improve its overall output functionality for commercial forestry operations.
Category: Planting & Silviculture Automation
| Company | Country | Type | Website | Available in Australia? | Year | Status | Remarks | TRL | Employees | Colour | Inventors | Patent Model. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| University of South Australia | Link |