René Gislum

Digitalization in herbage grass seed production and research: Opportunities and challenges

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearch

Standard

Digitalization in herbage grass seed production and research: Opportunities and challenges. / Gislum, René; Gyldengren, Jacob Glerup; Boelt, Birte.

Proceedings of the Tenth International Herbage Seed Group Conference. ed. / Nicole P Anderson. 2019. p. 14-17.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearch

Harvard

Gislum, R, Gyldengren, JG & Boelt, B 2019, Digitalization in herbage grass seed production and research: Opportunities and challenges. in NP Anderson (ed.), Proceedings of the Tenth International Herbage Seed Group Conference. pp. 14-17, 10th International Herbage Seed Group Conference, Corvallis, United States, 12/05/2019.

APA

Gislum, R., Gyldengren, J. G., & Boelt, B. (2019). Digitalization in herbage grass seed production and research: Opportunities and challenges. In N. P. Anderson (Ed.), Proceedings of the Tenth International Herbage Seed Group Conference (pp. 14-17)

CBE

Gislum R, Gyldengren JG, Boelt B. 2019. Digitalization in herbage grass seed production and research: Opportunities and challenges. Anderson NP, editor. In Proceedings of the Tenth International Herbage Seed Group Conference. pp. 14-17.

MLA

Gislum, René, Jacob Glerup Gyldengren, and Birte Boelt "Digitalization in herbage grass seed production and research: Opportunities and challenges". Anderson, Nicole P (ed.). Proceedings of the Tenth International Herbage Seed Group Conference. 2019, 14-17.

Vancouver

Gislum R, Gyldengren JG, Boelt B. Digitalization in herbage grass seed production and research: Opportunities and challenges. In Anderson NP, editor, Proceedings of the Tenth International Herbage Seed Group Conference. 2019. p. 14-17

Author

Gislum, René ; Gyldengren, Jacob Glerup ; Boelt, Birte. / Digitalization in herbage grass seed production and research: Opportunities and challenges. Proceedings of the Tenth International Herbage Seed Group Conference. editor / Nicole P Anderson. 2019. pp. 14-17

Bibtex

@inproceedings{fde21771cd0247f28ff0ebc3122258cd,
title = "Digitalization in herbage grass seed production and research: Opportunities and challenges",
abstract = "Digital herbage seed production and research offer new possibilities but also new challenges. Technological, software, and algorithm development proceeds extremely rapidly, while the development of decision support systems and related agronomic and biological interpretation lags. These challenges must not prevent us from exploring new technology and methods in herbage seed production and research. We must recognize, however, that increasing the utilization of applied and available nutrients through the use of sensors, local weather data, and predictions, in combination with application algorithms, may not necessarily increase farmer revenue or reduce negative environmental impacts. Advanced field phenotyping holds great potential and is receiving a great deal of attention, based on publication frequency, and breeders will gain new knowledge from these technologies and methods. The use of advanced phenotyping in combination with crop models is an interesting area that undoubtedly will increase our basic knowledge of plant development and performance, which is necessary in order to better understand the interactions between nutrient utilization, optimal application timing for plant growth regulation, weed control, and other field operations. The conclusion is that digital herbage seed production and research are still in the early development stage.",
keywords = "digital farming, image analysis, sensor systems, machine learning, phenotyping",
author = "Ren{\'e} Gislum and Gyldengren, {Jacob Glerup} and Birte Boelt",
year = "2019",
month = "5",
day = "12",
language = "English",
pages = "14--17",
editor = "Anderson, {Nicole P}",
booktitle = "Proceedings of the Tenth International Herbage Seed Group Conference",

}

RIS

TY - GEN

T1 - Digitalization in herbage grass seed production and research: Opportunities and challenges

AU - Gislum, René

AU - Gyldengren, Jacob Glerup

AU - Boelt, Birte

PY - 2019/5/12

Y1 - 2019/5/12

N2 - Digital herbage seed production and research offer new possibilities but also new challenges. Technological, software, and algorithm development proceeds extremely rapidly, while the development of decision support systems and related agronomic and biological interpretation lags. These challenges must not prevent us from exploring new technology and methods in herbage seed production and research. We must recognize, however, that increasing the utilization of applied and available nutrients through the use of sensors, local weather data, and predictions, in combination with application algorithms, may not necessarily increase farmer revenue or reduce negative environmental impacts. Advanced field phenotyping holds great potential and is receiving a great deal of attention, based on publication frequency, and breeders will gain new knowledge from these technologies and methods. The use of advanced phenotyping in combination with crop models is an interesting area that undoubtedly will increase our basic knowledge of plant development and performance, which is necessary in order to better understand the interactions between nutrient utilization, optimal application timing for plant growth regulation, weed control, and other field operations. The conclusion is that digital herbage seed production and research are still in the early development stage.

AB - Digital herbage seed production and research offer new possibilities but also new challenges. Technological, software, and algorithm development proceeds extremely rapidly, while the development of decision support systems and related agronomic and biological interpretation lags. These challenges must not prevent us from exploring new technology and methods in herbage seed production and research. We must recognize, however, that increasing the utilization of applied and available nutrients through the use of sensors, local weather data, and predictions, in combination with application algorithms, may not necessarily increase farmer revenue or reduce negative environmental impacts. Advanced field phenotyping holds great potential and is receiving a great deal of attention, based on publication frequency, and breeders will gain new knowledge from these technologies and methods. The use of advanced phenotyping in combination with crop models is an interesting area that undoubtedly will increase our basic knowledge of plant development and performance, which is necessary in order to better understand the interactions between nutrient utilization, optimal application timing for plant growth regulation, weed control, and other field operations. The conclusion is that digital herbage seed production and research are still in the early development stage.

KW - digital farming

KW - image analysis

KW - sensor systems

KW - machine learning

KW - phenotyping

M3 - Article in proceedings

SP - 14

EP - 17

BT - Proceedings of the Tenth International Herbage Seed Group Conference

A2 - Anderson, Nicole P

ER -