Performance assessment of low-cost LiDAR-based sensors and RGB-D cameras in fruit orchards

E. Gregorio-López; T. Pallejà-Cabré; M. Felip-Pomés; R. Sanz-Cortiella; B. Lanza; M. Tresanchez-Ribes; A. Escolà; J.M. Plata-Moreno; J.A. Martínez-Casasnovas; J. Gené-Mola

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Performance assessment of low-cost LiDAR-based sensors and RGB-D cameras in fruit orchards

In: Precision agriculture '25

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E. Gregorio-López

E. Gregorio-López null

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T. Pallejà-Cabré

T. Pallejà-Cabré null

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M. Felip-Pomés

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R. Sanz-Cortiella

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B. Lanza

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M. Tresanchez-Ribes

M. Tresanchez-Ribes null

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A. Escolà

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J.M. Plata-Moreno

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J.A. Martínez-Casasnovas

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J. Gené-Mola

J. Gené-Mola null
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Type:: Chapter

Pages:: 509–516

DOI:: https://doi.org/10.1163/9789004725232_066

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Dar Hadith al Hassania

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Knowing the geometric and structural characteristics of fruit orchards is essential for properly managing agricultural operations. Light detection and ranging (LiDAR) sensors allow for accurate 3D orchard reconstructions, although their high cost limits their adoption by farmers. In this work, the performance of several RGB-D cameras and emerging low-cost solid-state LiDAR sensors has been evaluated under real orchard conditions. Accuracies of 10–12 mm for the LiDAR sensors and 7 mm for the time-of-flight RGB-D camera have been achieved. These results open new opportunities for the development of low-cost orchard monitoring systems.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Performance assessment of low-cost LiDAR-based sensors and RGB-D cameras in fruit orchards

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Precision agriculture '25

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