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Employing Weather-Based Disease and Machine Learning Techniques for Optimal Control of Septoria Leaf Blotch and Stripe Rust in Wheat
El Jarroudi, Moussa; Lahlali, Rachid; El Jarroudi, Haifa et al.
2020In Advanced Intelligent Systems for Sustainable Development
Peer reviewed
 

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Abstract :
[en] Septoria tritici blotch (STB) is among the most important crop diseases causing continuous threats to wheat production worldwide. STB epidemics are the outcome of interactions between susceptible host cultivars, favorable environmental conditions, and sufficient quantities of pathogen inoculum. Thus, to determine whether fungicide sprays should be applied to prevent the risk of epidemics that might otherwise lead to yield loss, weatherbased systems as stand-alone or combined with other disease or agronomic variables have been implemented in decision-support systems (DSS). Given the economic importance of wheat in Morocco and increasing concerns caused by fungal plant pathogens in wheat-growing regions, DSS integrating a disease risk model would help to limit potentially harmful side effects of fungicide applications while ensuring economic benefits. Here we describe the use of an artificial intelligence algorithm, i.e. the artificial neural network, within a weatherbased modelling approach to predict the progress of STB in wheat in Luxembourg. The reproducibility of area-specific modelling approaches is often a hurdle for their application in operational disease warning system at a regional scale. Hence, we explore the potential of coupling artificial intelligence algorithms with weather-based model for predicting in-season progress of a major economically important fungal disease – wheat stripe rust – in selected wheatproducing regions in Morocco.
Disciplines :
Computer science
Author, co-author :
El Jarroudi, Moussa  ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Lahlali, Rachid
El Jarroudi, Haifa
Tychon, Bernard ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Belleflamme, Alexandre
Junk, Jürgen
Denis, Antoine  ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)
El Jarroudi, Mustapha
Kouadio, Louis
Language :
English
Title :
Employing Weather-Based Disease and Machine Learning Techniques for Optimal Control of Septoria Leaf Blotch and Stripe Rust in Wheat
Publication date :
06 February 2020
Main work title :
Advanced Intelligent Systems for Sustainable Development
Publisher :
Springer Nature, Switzerland
Pages :
157-165
Peer reviewed :
Peer reviewed
Available on ORBi :
since 03 February 2020

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