Can a Light Detection and Ranging (LiDAR) and Multispectral Sensor Discriminate Canopy Structure Changes Due to Pruning in Olive Growing? A Field Experimentation

Carolina Perna, Andrea Pagliai, Daniele Sarri, Riccardo Lisci, Marco Vieri, Jiangtao Qi, Gang Wang · 2024

Read Can a Light Detection and Ranging (LiDAR) and Multispectral Sensor Discriminate Canopy Structure Changes Due to Pruning in Olive Growing? A Field Experimentation by Carolina Perna, Andrea Pagliai, Daniele Sarri, Riccardo Lisci, Marco Vieri, Jiangtao Qi, Gang Wang (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11679420.txt.

Description

Perna and co-authors tested, in a 2024 field study, whether tractor-mounted sensors can see olive canopies change after pruning. Ten trees in a Tuscan grove were scanned before and after cutting, with a multispectral sensor and a two-dimensional laser scanner riding the vehicle.

The light-based sensor barely noticed the pruning: leaf color signals stayed flat despite real losses of wood and leaf. The laser, by contrast, rebuilt each canopy's volume, height, and width from its point cloud, and those measures could be checked against hand measures and the weight of cut branches. Laser scanning thus gives growers an objective way to log pruning work and tree shape. Paired sensors, the study suggests, are not equal witnesses.

Catalog record

CREATORCarolina Perna, Andrea Pagliai, Daniele Sarri, Riccardo Lisci, Marco Vieri, Jiangtao Qi, Gang Wang
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE66 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11679420

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