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Sensors 2015, 15(4), 8382-8405; doi:10.3390/s150408382

Georeferenced Scanning System to Estimate the Leaf Wall Area in Tree Crops

Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida. Av. Rovira Roure, 191, Lleida 25198, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 20 November 2014 / Accepted: 2 April 2015 / Published: 10 April 2015
(This article belongs to the Collection Sensors in Agriculture and Forestry)

Abstract

This paper presents the use of a terrestrial light detection and ranging (LiDAR) system to scan the vegetation of tree crops to estimate the so-called pixelated leaf wall area (PLWA). Scanning rows laterally and considering only the half-canopy vegetation to the line of the trunks, PLWA refers to the vertical projected area without gaps detected by LiDAR. As defined, PLWA may be different depending on the side from which the LiDAR is applied. The system is completed by a real-time kinematic global positioning system (RTK-GPS) sensor and an inertial measurement unit (IMU) sensor for positioning. At the end, a total leaf wall area (LWA) is computed and assigned to the X, Y position of each vertical scan. The final value of the area depends on the distance between two consecutive scans (or horizontal resolution), as well as the number of intercepted points within each scan, since PLWA is only computed when the laser beam detects vegetation. To verify system performance, tests were conducted related to the georeferencing task and synchronization problems between GPS time and central processing unit (CPU) time. Despite this, the overall accuracy of the system is generally acceptable. The Leaf Area Index (LAI) can then be estimated using PLWA as an explanatory variable in appropriate linear regression models. View Full-Text
Keywords: pixelated leaf wall area (PLWA); LiDAR; RTK-GPS georeferencing; inertial sensor; tree crops pixelated leaf wall area (PLWA); LiDAR; RTK-GPS georeferencing; inertial sensor; tree crops
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

del-Moral-Martínez, I.; Arnó, J.; Escolà, A.; Sanz, R.; Masip-Vilalta, J.; Company-Messa, J.; Rosell-Polo, J.R. Georeferenced Scanning System to Estimate the Leaf Wall Area in Tree Crops. Sensors 2015, 15, 8382-8405.

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