Dynamic scheduling of robotic mildew treatmentby UV-c in horticulture
Communication sans acte
Thanks to new technologies, it is possible to make an automatic robotic treatment of plants for the mildew in greenhouses. The optimization of the scheduling of this robotic treatment presents a real challenge due to the continues evolution of disease level. The conventional optimization methods can not provide an accurate scheduling able to eliminate the disease from the greenhouse. This paper proposes a solution to provide a dynamic scheduling problem of evolutionary tasks in horticulture. We first developed a genetic algorithm (GA) for a static model. Then we improved it for the dynamic case where a dynamic genetic algorithm (DGA) based on the prediction of the task amount is developed. To test the performance of our algorithms, especially for the dynamic case, we integrated our algorithms in a simulator.
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Article dans une revue avec comité de lectureMAZAR, Merouane; SAHNOUN, M’hammed; BETTAYEB, Belgacem; KLEMENT, Nathalie; LOUIS, Anne (Springer, 2020)Robotization is increasingly used in the agriculture since the last few decades. It is progressively replacing the human workforce that is deserting the agricultural sector, partly because of the harshness of its activities ...
Multi-agent Simulation to Predict Global Behavior of Population Based on Elementary Local Markovian model Communication avec acteNew technologies based robotics and data analysis are starting to be used for the treatment of disease in horticulture field. Such autonomous systems evolving in dynamic environment need automatic operation and control ...
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