ORBi: Dumont Benjamin - Assessing the potential of an algorithm based on mean climatic data to predict wheat yield.

Reference : Assessing the potential of an algorithm based on mean climatic data to predict wheat yie...


	Document type :	Scientific congresses and symposiums : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science Life sciences : Agriculture & agronomy
	To cite this reference:	http://hdl.handle.net/2268/129590

Title :	Assessing the potential of an algorithm based on mean climatic data to predict wheat yield.
Language :	English
Author, co-author :	Dumont, Benjamin [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
	Leemans, Vincent [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
	Ferrandis Vallterra, Salvador [Université de Liège - ULg > > Gembloux Agro-Bio Tech >]
	Vancutsem, Françoise [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
	Seutin, Benoit [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
	Bodson, Bernard [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
	Destain, Jean-Pierre [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
	Destain, Marie-France [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
Publication date :	Jul-2012
Audience :	International
Event name :	11th ICPA, International Conference on Precision Agriculture
Event date :	15-18 Juillet 2012
Event organizer :	ISPA, International Society of Precision Agriculture
Event place (city) :	Indianapolis
Event country :	USA
Keywords :	[en] Crop model ; Real-time ; Stress Impact ; Yield prediction
Abstract :	[en] Real-time non-invasive determination of crop biomass and yield prediction are maybe among the major challenges in agriculture. But unknown future weather remains the key point of accurate yield forecast. This paper presents the results of a preliminary study that aims to supply the unknown future by daily mean climatic data. The results show that under the Belgian weather, this approach is relevant. Furthermore, the developed methodology appears to be a powerful diagnosis tool of the remaining yield potential under ongoing weather.
Funders :	DGO-3 ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS (Déplacement)
Name of the research project :	Suivi en temps réel de l’environnement d’une parcelle agricole par un réseau de micro-capteurs en vue d’optimiser l’apport en engrais azotés
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/129590

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	Abstract_ICPA_DumontB_AuthorVersion.doc		Author preprint	71 kB	View/Open

All documents in ORBi are protected by a user license.

Dspace v1.5