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René Gislum

Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds

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Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds. / Skovsen, Søren; Dyrmann, Mads; Eriksen, Jørgen; Gislum, René; Karstoft, Henrik; Nyholm Jørgensen, Rasmus.

2018. Abstract from International Conference on Precision Agriculture, Montréal, Canada.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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Bibtex

@conference{555bcd7cffa34f0092c0e3b627f0cbcd,
title = "Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds",
author = "S{\o}ren Skovsen and Mads Dyrmann and J{\o}rgen Eriksen and Ren{\'e} Gislum and Henrik Karstoft and {Nyholm J{\o}rgensen}, Rasmus",
year = "2018",
month = "6",
language = "English",
note = "null ; Conference date: 24-06-2018 Through 27-06-2018",
url = "https://www.ispag.org/icpa",

}

RIS

TY - ABST

T1 - Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds

AU - Skovsen, Søren

AU - Dyrmann, Mads

AU - Eriksen, Jørgen

AU - Gislum, René

AU - Karstoft, Henrik

AU - Nyholm Jørgensen, Rasmus

PY - 2018/6

Y1 - 2018/6

M3 - Conference abstract for conference

ER -