1,720,976 research outputs found
Mathematical modelling and experimental assessment of agrochemical drift using a wind tunnel
Full text linkWith the aim to gain a better understanding of the phenomenon of drift occurring during spray application of agrochemicals to agricultural crops, a laboratory testing was carried out using a wind tunnel under controlled environmental conditions (wind, temperature and relative humidity RH). Spray drift was measured with wind velocity of 1, 3 and 5 m/s and RH of 30, 50 and 70%. Under medium to high wind velocities the effect of RH was negligible. These results suggested to work out a simplified mathematical modelling by assuming the absence of droplets evaporation by means of closed solutions of the equations of the droplets motion. The main result of the mathematical model is the removal of the droplets smaller than about 80 μm from the spray produced by the nozzles
Assessment of the contribute of spray thickeners to the agro-chemical drift reduction using a mathematical model and a wind tunnel
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Integrating High-Resolution Imaging and Water-Sensitive Paper for Enhanced Agricultural Spray Droplet Characterization
No full textWater-sensitive papers (WSP) have emerged as a low-cost, field-deployable spray characterization method, posing significant challenges for field deployment. To address the limitations of existing WSP analysis approaches, this work presents a comprehensive methodology for the characterization of agricultural spray droplets using WSP and image processing techniques. This methodology is validated through testing that encompasses a range of scenarios, including varying droplet densities, simulating overlap, and utilizing different resolution cameras for image capture. The results indicate that camera resolution consistently plays a critical role in minimizing measurement errors across different droplet stain types, particularly for single and double stains. Higher resolution cameras (2560x1440) significantly improve the accuracy of coverage and diameter measurements, reducing both MAE and RMSE and yielding higher R2 values, suggesting a better fit. This analysis provides valuable insights for optimizing the setup in environmental and agricultural assessments involving WSP
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