Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2024

Autores

da Silva, DQ (Autor) Outra; Louro, F (Autor) Outra; Filipe Neves Santos (Autor) FEUP; Filipe, V (Autor) Outra; Armando Jorge Sousa (Autor) FEUP; Mario Cunha (Autor) FCUP; Carvalho, JL (Autor) Outra

Ata de Conferência Internacional

Título: ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Páginas: 297-310

6th Iberian Robotics Conference (Robot)

Coimbra, PORTUGAL, NOV 22-24, 2023

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-010-A78

DOI: 10.1007/978-3-031-59167-9_25

Abstract (EN): Forest soil ripping is a practice that involves revolving the soil in a forest area to prepare it for planting or sowing operations. Advanced sensing systems may help in this kind of forestry operation to assure ideal ripping depth and intensity, as these are important aspects that have potential to minimise the environmental impact of forest soil ripping. In this work, a cost-effective contactless system - capable of detecting and mapping soil ripping depth in real-time - was developed and tested in laboratory and in a realistic forest scenario. The proposed system integrates two single-point LiDARs and a GNSS sensor. To evaluate the system, ground-truth data was manually collected on the field during the operation of the machine with a ripping implement. The proposed solution was tested in real conditions, and the results showed that the ripping depth was estimated with minimal error. The accuracy and mapping ripping depth ability of the low-cost sensor justify their use to support improved soil preparation with machines or robots toward sustainable forest industry.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14