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Article

Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition

1
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano (unibz), Piazza Università 1, 39100 Bozen-Bolzano, Italy
2
Competence Centre for Plant Health, Free University of Bozen-Bolzano, Piazza Università 1, 39100 Bozen-Bolzano, Italy
*
Authors to whom correspondence should be addressed.
AgriEngineering 2026, 8(1), 3; https://doi.org/10.3390/agriengineering8010003
Submission received: 4 October 2025 / Revised: 5 December 2025 / Accepted: 9 December 2025 / Published: 1 January 2026

Abstract

The use of agrochemicals remains indispensable for ensuring fruit production; however, their excessive or inefficient application poses significant environmental and health concerns. Rapid detection of spray deposition is crucial for assessing sprayer performance, improving precision application, and reducing drift and chemical waste. In this context, real-time monitoring technologies represent a promising tool to promote sustainable and efficient crop protection practices. This study refines previous experiences with an array of resistive sensors to quickly measure spray deposition. First, a multi-point calibration curve is introduced to improve the sensors’ accuracy. Furthermore, a multiplexed acquisition system (Sciospec ISX-5) is employed to enable time-resolved measurements of the whole sensor array. The method is validated by spectrophotometry and weight measurements. Wind tunnel trials with fluorescein (FLU) and fluorescein + potassium chloride (FLU + KCl) tracing solutions were conducted. The conductivity of the latter was higher than the former, without biasing the measurement. Both tracers showed good correlation between deposition and conductivity (R2 = 0.997 for FLU and 0.995 for FLU + KCl), and the maximum deviation from the spectrophotometric estimates was <10%. Time-resolved measurement showed the build-up of deposition over time, potentially indicating the dimensional composition of the sprayed cloud. The improved workflow provides array-wide, sequential deposition measurements, enabling faster on-site acquisition and efficient analysis. The results demonstrate strong potential for scaling the method to field applications, supporting its further development into real-time deposition mapping tools that could guide precision spraying, optimize agrochemical use, and reduce environmental drift.
Keywords: plant protection products; spray deposition; spray drift; agricultural sprayer; sensor; real-time measurement; conductivity plant protection products; spray deposition; spray drift; agricultural sprayer; sensor; real-time measurement; conductivity

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MDPI and ACS Style

Ali, A.; Becce, L.; Gronauer, A.; Mazzetto, F. Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition. AgriEngineering 2026, 8, 3. https://doi.org/10.3390/agriengineering8010003

AMA Style

Ali A, Becce L, Gronauer A, Mazzetto F. Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition. AgriEngineering. 2026; 8(1):3. https://doi.org/10.3390/agriengineering8010003

Chicago/Turabian Style

Ali, Ayesha, Lorenzo Becce, Andreas Gronauer, and Fabrizio Mazzetto. 2026. "Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition" AgriEngineering 8, no. 1: 3. https://doi.org/10.3390/agriengineering8010003

APA Style

Ali, A., Becce, L., Gronauer, A., & Mazzetto, F. (2026). Methodological Advancement in Resistive-Based, Real-Time Spray Deposition Assessment with Multiplexed Acquisition. AgriEngineering, 8(1), 3. https://doi.org/10.3390/agriengineering8010003

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