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Open AccessArticle

Development and Validation of a LiDAR Scanner for 3D Evaluation of Soil Vegetal Coverage

by Matías Micheletto 1,†,‡, Luciano Zubiaga 2,†, Rodrigo Santos 1,*,†,‡, Juan Galantini 3,†, Miguel Cantamutto 2,† and Javier Orozco 1,†,‡
1
Department of Electrical and Computers Engineering, Universidad Nacional del Sur, CONICET, Bahía Blanca 8000, Argentina
2
Estación Experimental Agropecuaria INTA-H. Ascasubi—CONICET, Hilario Ascasubi 8142, Argentina
3
Comisión Investigaciones Científicas (PBA), CERZOS (UNS-CONICET), Agronomy Department, Universidad Nacional del Sur, Bahía Blanca 8000, Argentina
*
Author to whom correspondence should be addressed.
All authors contributed equally to this work.
Current address: DIEC-ICIC, UNS-CONICET, Alem 1253, Bahía Blanca 8000, Argentina.
Electronics 2020, 9(1), 109; https://doi.org/10.3390/electronics9010109
Received: 18 December 2019 / Revised: 27 December 2019 / Accepted: 30 December 2019 / Published: 7 January 2020
(This article belongs to the Special Issue Applications of Embedded Systems)
Water and wind erosion are serious problems due to the loss of soil productivity. The coverage of soil, by means of cover crops or crops residues, is an effective tool to prevent wind and water erosion. The soil coverage could curb wind on the surface, avoid water runoff and reduce direct soil evaporation. Residue spatial distribution is the main factor to successful soil protection. The current work presents details of a prototype, design and validation as a measuring instrument to sense the height of vegetal crop residues based on a short-ranged laser distance sensor (LiDAR) and a computer numerical control (CNC) mechanism. The results obtained in this work showed a high level of confidence to estimate the height and composition of soil vegetal coverage. View Full-Text
Keywords: embedded systems; ToF sensor; CNC; soil vegetal cover; sustainable agriculture embedded systems; ToF sensor; CNC; soil vegetal cover; sustainable agriculture
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MDPI and ACS Style

Micheletto, M.; Zubiaga, L.; Santos, R.; Galantini, J.; Cantamutto, M.; Orozco, J. Development and Validation of a LiDAR Scanner for 3D Evaluation of Soil Vegetal Coverage. Electronics 2020, 9, 109.

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