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Differentiating pre- and post-grazing pasture heights using a 3D camera: a prospective approach
Andriamandroso, Andriamasinoro; Castro Muñoz, Eloy; Blaise, Yannick et al.
2017In Berckmans, Daniel; Keita, Alassane (Eds.) Precision Livestock Farming ‘17
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Keywords :
pasture heights; grazing; 3D camera
Abstract :
[en] Grasslands management involves the monitoring of both animal and plant components. Recent precision livestock farming developments have focused on high-rate monitoring of grazing animals to enhance livestock productivity and welfare. The evolution of grass resource during the grazing process is not being overlooked by graziers and researchers, but grass characteristics, such as height, dry matter content, productivity or density, are still measured using low frequency and sometimes destructive and time-consuming methods; such as quadrat, sward-sticks, rising plate meters. This study investigated the potential of using 3D cameras to assess sward physical characteristics. Main objectives were: (1) to define the correct way to capture images, particularly the camera position above the ground and, (2) to assess if differences in sward height were detectable. Couples of images differing in grass height were captured on the same spot with a 3D camera at different above-ground heights (30, 40, 50 cm) on a ryegrass-white clover pasture. Pregrazing height was 15cm and post-grazing sward was simulated by cutting at 2 cm. Histograms of intensity performed on greyscale images showed differences between pre- and post-grazing sward. As expected, overall darker pixels were observed for pre-grazing images (p<0.01) and whiter pixels for post-grazing images (p<0.01), indicating longer distances consistent with lower forage biomass. Images taken at a distance of 30 and 40 cm could identify these differences. Further developments require improving the calibration of the camera and developing image analysis method to estimate more plant characteristics such as density or dry matter content.
Research center :
Gembloux Agro-Bio Tech
Disciplines :
Agriculture & agronomy
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
Andriamandroso, Andriamasinoro ;  Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Castro Muñoz, Eloy  ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol. (Paysage)
Blaise, Yannick ;  Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Bindelle, Jérôme  ;  Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Lebeau, Frédéric  ;  Université de Liège > Ingénierie des biosystèmes (Biose) > Biosystems Dynamics and Exchanges
Language :
English
Title :
Differentiating pre- and post-grazing pasture heights using a 3D camera: a prospective approach
Publication date :
September 2017
Event name :
8th European Conference on Precision Livestock Farming.
Event place :
Nantes, France
Event date :
du 12 septembre au 14 septembre 2017
Audience :
International
Main work title :
Precision Livestock Farming ‘17
Author, co-author :
Berckmans, Daniel
Keita, Alassane
Pages :
238 - 246
Peer reviewed :
Peer reviewed
Funders :
ULiège - Université de Liège [BE]
ARES - Académie de Recherche et d'Enseignement Supérieur [BE]
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since 14 October 2017

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