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Overview
This service evaluates the efficiency of sprayer booms equipped with sensors that use artificial vision to detect weeds and enable site-specific phytosanitary applications. Through field tests and drone-assisted monitoring, the service examines how accurately the sprayer boom applies treatments, identifying false positives (detecting weeds where none exist) and false negatives (failing to detect actual weeds). The service is essential for improving precision agriculture practices in arable and horticultural crops, as well as in tree crops and viticulture.
More about the service
By ensuring accurate weed detection and application efficiency, this service helps agricultural professionals optimise phytosanitary use, reducing costs and environmental impact. It supports clients in refining their equipment’s precision by contrasting their results, analysing errors, and improving the equipment's performance, contributing to sustainable crop management practices.
Conducted on-site in Spain, the service involves the use of sensors, drone monitoring, and performance evaluation hardware. Deliverables include detailed performance reports, data analyses, and certification documentation. Clients should provide access to sprayer equipment and specify application parameters.
Customisation includes options for specific weed detection metrics, site conditions, and sensor configurations. Additional support can be provided for market research insights on sprayer technologies.
Service provider
University of Cordoba (UCO)
Location
Spain
Type of Sector
Arable farming
Greenhouse
Horticulture
Tree Crops
Viticulture
Type of service
Certification
Collection of test data
Data analysis
Desk assessment
Market research
People training
Test design
Test execution
Accepted type of products
Physical system
