ORBi: Dumont Benjamin - A first step towards a real-time predictive yield support system.

Reference : A first step towards a real-time predictive yield support system.


	Document type :	Scientific congresses and symposiums : Unpublished conference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/2268/129591

Title :	A first step towards a real-time predictive yield support system.
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 :	2012
Event name :	CIGR-AgEng 2012 International Conference on Agricultural Engineering
Event date :	8-11 Juillet 2012
Event organizer :	CIGR & AgEng
Event place (city) :	Valencia
Event country :	Spain
Keywords :	[en] Crop model ; Real-Time ; 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
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/2268/129591

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