Enhancing Spray Drift Deposition Analysis: Towards Real-Time Estimation through Resistive Measurements and Optical Tracers

被引:0
作者
Ali, Ayesha [1 ]
Altana, Antonio [2 ]
Becce, Lorenzo [3 ]
Lugli, Paolo [4 ]
Petti, Luisa [4 ]
Mazzetto, Fabrizio [2 ]
机构
[1] Free Univ Bozen Bolzano Unibz, Fac Agr, Environm, Food Sci, Bolzano, Italy
[2] Free Univ Bozen Bolzano Unibz, Competence Ctr Mt Innovat Ecosyst, Bolzano, Italy
[3] Free Univ Bozen Bolzano Unibz, Competence Ctr Plant Hlth, Bolzano, Italy
[4] Free Univ Bozen Bolzano Unibz, Fac Engn, Bolzano, Italy
来源
PROCEEDINGS OF 2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, METROAGRIFOR | 2023年
关键词
Plant protection; spray drift; spray deposition; printed electrodes; resistive measurement;
D O I
10.1109/MetroAgriFor58484.2023.10424388
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The assessment of the deposited plant protection products (PPPs) is important for resource management as well as the prevention of off-target area contamination. Nevertheless, it poses significant challenges, not only in the field but also under controlled conditions. As a matter of fact, the standard methodologies to objectively compare the functional performance of sprayers require large amounts of time, and the results are not always repeatable. One of the major obstacles is the timely estimation of the deposited material, as real time assessment is ideally required. In this work, we propose an innovative approach based on resistive measurements to address this challenge effectively. Our method utilizes screen printed electrodes integrated onto the material collector for accurate and real-time measurement of the deposited material. By leveraging resistive measurement techniques, we achieve a precise estimation of the deposited plant protection products. Our experimental results demonstrate an overall estimation error of less than 5%, highlighting the reliability and accuracy of our approach. This real-time assessment capability offers substantial benefits for either laboratory testing of machines, in-field resource management and environmental monitoring, with the potential to enable prompt decision-making and mitigation strategies.
引用
收藏
页码:652 / 656
页数:5
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