5篇
您的检索式：作者名="Frederic Lafont"
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| 1 | Forecasting pest risk level in roses greenhouse:Adaptive neuro-fuzzy inference system vs artificial neural networks显示文摘The purpose of this study is to establish a system for the prediction of the pests’risk level in a roses greenhouse by applying Artificial Neural Networks(ANNs)and an Adaptive Neuro-Fuzzy Inference System(ANFIS).Pests in roses greenhouses are known to be fatal to plants if not detected at a premature stage.Early detection could avoid huge agronomic and eco-nomic losses.Though,it could be a difficult task to achieve.The complexities arising from the interactions between variables influencing the development could be a barrier to fulfill the previously mentioned task.The output of the developed system represents the next day?s risk level of Western flower Thrips(WFT)(Frankliniella occidentalis)in a roses green-house.Four explanatory variables,such as internal temperature,internal humidity,today’s pest risk level and human intervention have been considered for this estimation.The main contributions of this study are three fold;providing a daily estimate WFT risk level,reduc-ing the use of pesticides and finally mitigating yield loss.The obtained results were com-pared to each other and to real data.The performance of the models has been evaluated by 3 statistical indicators.Numerical results showed conspicuous performance of both models,indicating their efficiency for pest monitoring.The novelty associated with the sys-tem is the creation of decision support tool for daily risk assessment of WFT.Relying on a small number of variables,this system is a monitoring tool which contributes to help farm-ers early reveal warning signs.In addition,this is a first attempt to employ ANNs and ANFIS for the prediction of WFT。 | Ahmad Tay Frederic Lafont Jean-Francois Balmat | 2021 | Information Processing in Agriculture2021，8，3： | 1 |
| 2 | Fuzzy identification of a greenhouse显示文摘 | Amine Trabelsi Frederic Lafont Mohamed Kamoun Gilles Enea | 2006 | Applied Soft Computing Journal2006，，3： | 1 |
| 3 | Maritime RISk Assessment(MARISA),a fuzzy approach to define an individual ship risk factor显示文摘 | Jean-Francois Balmat Frederic Lafont Robert Maifret | 2009 | Ocean Engineering2009，36，1516： | 1 |
| 4 | Identification of Nonlinear Multivariable Systems by Adaptive Fuzzy Takagi - Sugeno Model显示文摘 | Amine TRABELSI Frederic LAFONT Mohamed KAMOUN Gilles ENEA | 2004 | International Journal of Computational Cognition2004，2，3： | 1 |
| 5 | Maritime risk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor 显示文摘 | Jean-Francois Balmat Frederic Lafont Robert Maifret | 2009 | Ocean Engineering2009，36，1516： | 1 |
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