First Experiences in Data Handling to Characterise Air Distribution from Airblast Sprayers
摘要
Air assistance plays a crucial role in the effective administration of plant protection products from orchard sprayers. A proper air flow ensures a thorough distribution, shuffling the target leaves and accompanying the droplets into the canopy. On the contrary, excessive or improperly aimed air flow can drive the droplets away from the canopy and blow the already deposited ones away. These phenomena are a direct cause of drift. Fan setting, speed and outlet duct configuration need therefore to be taken into rigorous account when preparing a sprayer for operation. The operator must be able to adapt the sprayer to their orchard and the phenological state. This functionality is also requested by standardised certification methodologies, such as ISO 16119. These protocols require testing the uniformity and symmetry of air distribution from the sprayer. A dedicated air distribution test bench, model WP5000 (Ernst Herbst Prüftechnik e.K., Hirschbach, DE), will be used to characterise the air distribution from a commercial orchard sprayer in different configurations. Drawing from previous experience in nozzle characterisation, a simple MATLAB (The MathWorks, Inc., Natick, USA) script has been developed to automatically visualise, compare and analyse the results from the test bench. The scans have a resolution of 10 × 10 cm and yield, for each point, average airspeed, direction and flow rate. Relevant data and statistics are extracted, chiefly usable and non-usable air flow rates up to the selected working height and the coefficient of variation (CV) in the flow rate profiles. At laboratory level, the ability to accurately adapt orchard sprayers to different tree shapes and arrangements will prove invaluable in testing their drift generation performance indoors, allowing to simulate the machine during the treatment of different productions. This type of indoor test can assess the drift potential and classify the drift reduction capability of the machine.