BIOMASS ESTIMATIONS OF PERENNIAL RYEGRASS USING UAV-BASED MULTISPECTRAL BANDS AND VEGETATION INDICES

Onderzoeksoutput: Bijdrage aan congresPosterpeer review

Uittreksel

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.
Oorspronkelijke taalEngels
PublicatiestatusGepubliceerd - jul-2021
Evenement13th EUROPEAN CONFERENCE
ON PRECISION AGRICULTURE
- online, Budapest, Hongarije
Duur: 19-jul-202122-jul-2021

Andere

Andere13th EUROPEAN CONFERENCE
ON PRECISION AGRICULTURE
LandHongarije
StadBudapest
Periode19/07/2122/07/21

Dit citeren