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Automatic analyzis of droplet impact by high speed imaging

Abstract : The impact of agricultural activities on the water quality is the consequence of the loss of fertilisers (chemical fertilisers, livestock effluent, also referred to as farm fertiliser, food-processing effluent and sludge) and crop treatment products (phytosanitary products). This pollution may prevent certain uses of water, notably its use for human and animal food (groundwater and surface water), and leads to a deterioration in aquatic environments. In the domain of vineyard precision spraying research, one of the most important objectives is to minimize the volume of phytosanitary products. It is also to be more environmentally respectful with more effective vine leaf treatments. Thus the main goal is to be sure that the spray reaches the target to reduce losses that occur. Mechanisms of losses by drift are now well known, in contrary of runoffs on the leaves. To enable a better decision making by the wine-grower in order to optimize the spraying management, it is essential to provide a set of information on basic parameters such as diameter and speed of the droplet. These last ones are used in the calculation of the Weber number. The Weber number is a dimensionless number used in fluid mechanics that is often useful in analysing fluid flows where there is an interface between two different fluids, especially for multiphase flows with strongly curved surfaces. It can be thought of as a measure of the relative importance of fluid's inertia compared to its surface tension. To go further in the analysis of the droplet's behaviour after the impact with the leaf, the contribution of motion information obtained thanks to high speed imaging technology is a relevant solution. In the past, the different behaviours such as adhesion, bounce or splash were manually determined by the observer. Our tracking method based on "active contours" technic allows us to automatically detect the behaviour and to collect informations about the droplet in order to compute its Weber number.
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Submitted on : Wednesday, June 3, 2020 - 11:36:21 AM
Last modification on : Tuesday, December 6, 2022 - 4:22:56 AM
Long-term archiving on: : Thursday, December 3, 2020 - 4:12:09 AM


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  • HAL Id : hal-02747223, version 1
  • PRODINRA : 272873


Thomas Decourselle, Frédéric Cointault, Ludovic Journaux, Fan Yang. Automatic analyzis of droplet impact by high speed imaging. 1. RHEA International Conference on Robotics and associated High-technologies and Equipment for agriculture, Sep 2012, Pisa, Italy. ⟨hal-02747223⟩



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