Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices

Joanna Pranga; Irene Borra Serrano; Tom De Swaef; Jonas Aper; An Ghesquiere; Isabel Roldán-Ruiz; Ivan Janssens; Greet Ruysschaert; Peter Lootens

Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices

Joanna Pranga, Irene Borra Serrano, Tom De Swaef, Jonas Aper, An Ghesquiere, Isabel Roldán-Ruiz, Ivan Janssens, Greet Ruysschaert, Peter Lootens

Plant Sciences

Research output: Contribution to conference › Poster › peer-review

Abstract

Optimisation of agricultural monitoring and subsequent decision making is essential for precision agriculture. This is of particular importance for accurate biomass estimations that can help in grassland management, for example, in defining the optimal mowing time. Recent research (Borra-Serrano et al., 2019; Aper et al., 2019) advanced on the UAV-based non-destructive herbage yield predictions in perennial ryegrass (Lolium perenne L.). This study follows up on
those procedures and seeks to evaluate and compare the biomass predictor potential of spectral bands and vegetation indices (VIs) derived from a ten-band multispectral (MS) camera.

Original language	English
Publication status	Published - Jul-2021
Event	13th EUROPEAN CONFERENCE ON PRECISION AGRICULTURE - online, Budapest, Hungary Duration: 19-Jul-2021 → 22-Jul-2021

Other

Other	13th EUROPEAN CONFERENCE ON PRECISION AGRICULTURE
Country/Territory	Hungary
City	Budapest
Period	19/07/21 → 22/07/21

Access to Document

https://www.ecpa2021.hu/sponsors/ECPA2021_Poster_book_web.pdf

GRASSLANDSCAPE: Bridging landscape genomics and quantitative genetics for a regional adaptation of European grasslands to climate change
Roldán-Ruiz, I. (Project Manager), Ruttink, T. (ProjectSupervisor), Muylle, H. (ProjectSupervisor), Van Glabeke, S. (Researcher), De Swaef, T. (ProjectSupervisor), Lootens, P. (ProjectSupervisor), Verwimp, C. (Former PhD Student) & Borra Serrano, I. (Former PhD Student)
1/01/15 → 31/12/18
Project: Research

Cite this

Pranga, J., Borra Serrano, I., De Swaef, T., Aper, J., Ghesquiere, A., Roldán-Ruiz, I., Janssens, I., Ruysschaert, G., & Lootens, P. (2021). Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices. Poster session presented at 13th EUROPEAN CONFERENCE
ON PRECISION AGRICULTURE, Budapest, Hungary. https://www.ecpa2021.hu/sponsors/ECPA2021_Poster_book_web.pdf

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title = "Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices",

abstract = "Optimisation of agricultural monitoring and subsequent decision making is essential for precision agriculture. This is of particular importance for accurate biomass estimations that can help in grassland management, for example, in defining the optimal mowing time. Recent research (Borra-Serrano et al., 2019; Aper et al., 2019) advanced on the UAV-based non-destructive herbage yield predictions in perennial ryegrass (Lolium perenne L.). This study follows up onthose procedures and seeks to evaluate and compare the biomass predictor potential of spectral bands and vegetation indices (VIs) derived from a ten-band multispectral (MS) camera. ",

author = "Joanna Pranga and {Borra Serrano}, Irene and {De Swaef}, Tom and Jonas Aper and An Ghesquiere and Isabel Rold{\'a}n-Ruiz and Ivan Janssens and Greet Ruysschaert and Peter Lootens",

year = "2021",

month = jul,

language = "English",

note = "13th EUROPEAN CONFERENCE<br/>ON PRECISION AGRICULTURE ; Conference date: 19-07-2021 Through 22-07-2021",

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Pranga, J, Borra Serrano, I, De Swaef, T, Aper, J, Ghesquiere, A , Roldán-Ruiz, I, Janssens, I, Ruysschaert, G & Lootens, P 2021, 'Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices', 13th EUROPEAN CONFERENCE
ON PRECISION AGRICULTURE, Budapest, Hungary, 19/07/21 - 22/07/21. <https://www.ecpa2021.hu/sponsors/ECPA2021_Poster_book_web.pdf>

TY - CONF

T1 - Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices

AU - Pranga, Joanna

AU - Borra Serrano, Irene

AU - De Swaef, Tom

AU - Aper, Jonas

AU - Ghesquiere, An

AU - Roldán-Ruiz, Isabel

AU - Janssens, Ivan

AU - Ruysschaert, Greet

AU - Lootens, Peter

PY - 2021/7

Y1 - 2021/7

N2 - Optimisation of agricultural monitoring and subsequent decision making is essential for precision agriculture. This is of particular importance for accurate biomass estimations that can help in grassland management, for example, in defining the optimal mowing time. Recent research (Borra-Serrano et al., 2019; Aper et al., 2019) advanced on the UAV-based non-destructive herbage yield predictions in perennial ryegrass (Lolium perenne L.). This study follows up onthose procedures and seeks to evaluate and compare the biomass predictor potential of spectral bands and vegetation indices (VIs) derived from a ten-band multispectral (MS) camera.

AB - Optimisation of agricultural monitoring and subsequent decision making is essential for precision agriculture. This is of particular importance for accurate biomass estimations that can help in grassland management, for example, in defining the optimal mowing time. Recent research (Borra-Serrano et al., 2019; Aper et al., 2019) advanced on the UAV-based non-destructive herbage yield predictions in perennial ryegrass (Lolium perenne L.). This study follows up onthose procedures and seeks to evaluate and compare the biomass predictor potential of spectral bands and vegetation indices (VIs) derived from a ten-band multispectral (MS) camera.

M3 - Poster

T2 - 13th EUROPEAN CONFERENCE<br/>ON PRECISION AGRICULTURE

Y2 - 19 July 2021 through 22 July 2021

ER -

Biomass estimations of perennial ryegrass using UAB-Based multispectral bands and vegetation indices

Abstract

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Projects

GRASSLANDSCAPE: Bridging landscape genomics and quantitative genetics for a regional adaptation of European grasslands to climate change

Cite this