A Bayesian Network to Prevent Mite Infestations in Rose Greenhouses

Mite infestation is a big threat for rose greenhouses. It is much easier to halt and destroy them if their future development can be predicted. Taking into account temperature, humidity, cropping practices, plant vigour and some other influent parameters, an expert is able to predict the future development of the mites. Unfortunately, not all greenhouses can call on an expert permanently to help them in their fight against mites. To help them we have developed a novel model to assess and anticipate mite invasions in greenhouses in the short term. The model, based on a Bayesian network, takes into account the environment and the parameters defining invasion status with their interactions Data have been collected using knowledge from horticultural experts. The model has been validated in real situations emanating from the field. We obtained a good correlation between forecasts and expert predictions for the 18 cases used in this study. Thus, using this model should help the growers to protect against mite outbreaks. It constitutes a framework for studies of other harmful pest invasions

Fuzzy Approach to Pest Risk Assessment in a Greenhouse

International audienc

Decision support system for Western Flower Thrips management in roses production

International audienc

Fuzzy Approach to Pest Risk Assessment in a Greenhouse

International audienc

OTELHO : Vers une horticulture connectée, suivi des macroorganismes pour réduire les pesticides

L’acceptabilité environnementale des cultures horticoles est questionnée aujourd’hui notamment au regard de l’usage des pesticides. Le projet OTELHO a développé un outil d’aide à la décision nommé S@M, utile au suivi des cultures et à la connaissance des épidémies, étape indispensable à la prise de décision d’intervention. Pour répondre aux enjeux environnementaux et de santé, les partenaires de ce projet DEPHY EXPE ont construit à la fois un réseau expérimental et une méthode de travail centrée sur la co-conception. Ils ont éprouvé l’outil S@M et caractérisé une combinaison de solutions techniques viables permettant de réduire significativement l’usage des pesticides en horticulture. Les travaux ont été conduits à la fois en station expérimentale et en exploitation sur trois systèmes, les plantes en pots, le gerbera fleurs coupées, le rosier fleurs coupées. A l’issue de six années de prototypage de l’OAD S@M divers modules sont aujourd’hui stabilisés et utilisés par les expérimentateurs et les conseillers en entreprise. Les essais sur les différents systèmes de culture ont permis de valider dans certaines conditions des combinaisons de leviers pour réduire l’usage des pesticides de plus de 50%.The environmental acceptability of horticultural crops is questioned today, particularly with regard to the use of pesticides. The OTELHO project has developed a S@M decision support tool, useful for crop monitoring and knowledge of epidemics, an essential step in decision making. To meet the environmental and health challenges, DEPHY EXPE project partners have built both an experimental network and a co-design-centered work method to test the S@M tool and characterize a combination of technical viable solutions to significantly reduce the use of pesticides in horticulture. The work was conducted both in experimental station and in farms on three systems, potted plants, gerbera cut flowers, rose cut flowers. After six years of prototyping the OAD S@M various decision support modules are now stabilized and used by the experimenters and business consultants. Trials on different cropping systems made it possible to validate combinations of levers under certain conditions to reduce the use of pesticides by more than 50%