Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

Rueda Ayala, Victor P. and Peña, Jose M. and Höglind, Mats and Bengoechea Guevara, Jose Maria and Andujar, Dionisio (2019). Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley. "Sensors" ; p. 535. ISSN 1424-8220. https://doi.org/10.3390/s19030535.

Description

Title: Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
Author/s:
  • Rueda Ayala, Victor P.
  • Peña, Jose M.
  • Höglind, Mats
  • Bengoechea Guevara, Jose Maria
  • Andujar, Dionisio
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2019
ISSN: 1424-8220
Subjects:
Freetext Keywords: 3D crop modeling; remote sensing; on-ground sensing; depth images; parameter acquisition
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed to evaluate aerial and on-ground methods to characterize grass ley fields, estimating plant height, biomass and volume, using digital grass models. Two fields were sampled, one timothy-dominant and the other ryegrass-dominant. Both sensing systems allowed estimation of biomass, volume and plant height, which were compared with ground truth, also taking into consideration basic economical aspects. To obtain ground-truth data for validation, 10 plots of 1 m2 were manually and destructively sampled on each field. The studied systems differed in data resolution, thus in estimation capability. There was a reasonably good agreement between the UAV-based, the RGB-D-based estimates and the manual height measurements on both fields. RGB-D-based estimation correlated well with ground truth of plant height ( R2>0.80 ) for both fields, and with dry biomass ( R2=0.88 ), only for the timothy field. RGB-D-based estimation of plant volume for ryegrass showed a high agreement ( R2=0.87 ). The UAV-based system showed a weaker estimation capability for plant height and dry biomass ( R2<0.6 ). UAV-systems are more affordable, easier to operate and can cover a larger surface. On-ground techniques with RGB-D cameras can produce highly detailed models, but with more variable results than UAV-based models. On-ground RGB-D data can be effectively analysed with open source software, which is a cost reduction advantage, compared with aerial image analysis. Since the resolution for agricultural operations does not need fine identification the end-details of the grass plants, the use of aerial platforms could result a better option in grasslands.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainAGL2017-83325-C4-1-RUnspecifiedUnspecifiedNuevas herramientas tecnológicas, agronómicas e informáticas para la gestión de malas hierbas
Government of SpainAGL2017-83325-C4-3-RUnspecifiedUnspecifiedDiseño, desarrollo y evaluación de sistemas autónomos para la inspección terrestre efectiva y la actuación precisa en cultivos extensivos y leñosos
Government of SpainRYC-2016-20355UnspecifiedUnspecifiedUnspecified

More information

Item ID: 67147
DC Identifier: https://oa.upm.es/67147/
OAI Identifier: oai:oa.upm.es:67147
DOI: 10.3390/s19030535
Official URL: https://www.mdpi.com/1424-8220/19/3/535
Deposited by: Memoria Investigacion
Deposited on: 26 Aug 2022 05:49
Last Modified: 26 Aug 2022 05:49
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