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Sensors 2016, 16(9), 1435; doi:10.3390/s16091435

Testing the Suitability of a Terrestrial 2D LiDAR Scanner for Canopy Characterization of Greenhouse Tomato Crops

1
Department of Agrifood Engineering and Biotechnology, Polytechnic University of Catalonia, Esteve Terradas, 8, Castelldefels 08860, Spain
2
Department of Rural Engineering, Area of Rural Mechanization and Technology, University of Cordoba, Córdoba 14005, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Received: 9 July 2016 / Revised: 30 August 2016 / Accepted: 1 September 2016 / Published: 6 September 2016
(This article belongs to the Special Issue Sensors for Agriculture)
View Full-Text   |   Download PDF [2740 KB, uploaded 6 September 2016]   |  

Abstract

Canopy characterization is essential for pesticide dosage adjustment according to vegetation volume and density. It is especially important for fresh exportable vegetables like greenhouse tomatoes. These plants are thin and tall and are planted in pairs, which makes their characterization with electronic methods difficult. Therefore, the accuracy of the terrestrial 2D LiDAR sensor is evaluated for determining canopy parameters related to volume and density and established useful correlations between manual and electronic parameters for leaf area estimation. Experiments were performed in three commercial tomato greenhouses with a paired plantation system. In the electronic characterization, a LiDAR sensor scanned the plant pairs from both sides. The canopy height, canopy width, canopy volume, and leaf area were obtained. From these, other important parameters were calculated, like the tree row volume, leaf wall area, leaf area index, and leaf area density. Manual measurements were found to overestimate the parameters compared with the LiDAR sensor. The canopy volume estimated with the scanner was found to be reliable for estimating the canopy height, volume, and density. Moreover, the LiDAR scanner could assess the high variability in canopy density along rows and hence is an important tool for generating canopy maps. View Full-Text
Keywords: greenhouse; tomato crop; LiDAR sensor; canopy characterization; Leaf Area Index (LAI) greenhouse; tomato crop; LiDAR sensor; canopy characterization; Leaf Area Index (LAI)
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MDPI and ACS Style

Llop, J.; Gil, E.; Llorens, J.; Miranda-Fuentes, A.; Gallart, M. Testing the Suitability of a Terrestrial 2D LiDAR Scanner for Canopy Characterization of Greenhouse Tomato Crops. Sensors 2016, 16, 1435.

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