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Programmable ultrasonic sensing system for targeted spraying in orchards
Denis Stajnko1, Peter Berk, Mario Lešnik
1Faculty of Agriculture and Life Sciences, University of Maribor, 2000 Maribor, Slovenia. denis.stajnko@uni-mb.si
Sensors (Basel, Switzerland)
|December 4, 2012
Summary
This study presents an automated orchard sprayer using ultrasound sensors and microcontrollers to precisely target apple tree canopies. The system reduced pesticide spray by up to 48.15%, cutting costs and environmental impact.
Area of Science:
- Agricultural Engineering
- Robotics
- Precision Agriculture
Background:
- Traditional orchard spraying methods result in significant pesticide overuse and environmental contamination.
- Selective spraying technology is crucial for optimizing resource use and minimizing ecological impact in agriculture.
Purpose of the Study:
- To develop and evaluate a prototype automated orchard sprayer for precise pesticide application based on tree canopy density.
- To assess the system's effectiveness in reducing spray volume while maintaining adequate leaf deposit.
Main Methods:
- Utilized PROWAVE 400EP250 ultrasound sensors and Cypress PSOC CY8C29466/LPC1343 microcontrollers to detect apple tree canopy density.
- Implemented real-time processing of ultrasound signals to control electro-magnetic valves for selective nozzle operation.
- Evaluated spray deposition using tartrazine dye (TD) in an apple orchard setting.
Main Results:
- The automated sprayer reduced overall spray volume by up to 48.15%.
- Tartrazine dye reduction was observed at 37.7% within the tree crown and 65.1% in inter-tree spaces.
- The system demonstrated accurate spraying guidance based on detected tree density thresholds.
Conclusions:
- The developed precise orchard spraying system effectively reduces pesticide usage and environmental pollution.
- This technology offers a viable solution for cost reduction and improved agricultural sustainability.
- Achieved comparable or superior leaf deposit with significantly reduced spray volume.
