Reference : A first step towards a real-time predictive yield support system.
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/129591
A first step towards a real-time predictive yield support system.
English
Dumont, Benjamin mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
Leemans, Vincent mailto [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 mailto [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
Destain, Jean-Pierre mailto [Université de Liège - ULg > Sciences agronomiques > Phytotechnie des régions tempérées >]
Destain, Marie-France mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
2012
Agriculture & Engineering for a Healthier Life
Yes
ISBN-13 978-84-615-9928-8
CIGR-AgEng 2012 International Conference on Agricultural Engineering
8-11 Juillet 2012
CIGR & AgEng
Valencia
Spain
[en] Crop model ; Real-Time ; Yield Prediction
[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.
DGO-3
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
Researchers
http://hdl.handle.net/2268/129591

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