This research demonstrates the basic elements of a prototype automated orchard sprayer which delivers pesticide spray selectively with respect to the characteristics of the targets. The density of an apple tree canopy was detected by PROWAVE 400EP250 ultrasound sensors controlled by a Cypress PSOC CY8C29466 microcontroller. The ultrasound signal was processed with an embedded computer built around a LPC1343 microcontroller and fed in real time to electro-magnetic valves which open/close spraying nozzles in relation to the canopy structure. The analysis focuses on the detection of appropriate thresholds on 15 cm ultrasound bands, which correspond to maximal response to tree density, and this was selected for accurate spraying guidance. Evaluation of the system was performed in an apple orchard by detecting deposits of tartrazine dye (TD) on apple leaves. The employment of programmable microcontrollers and electro-magnetic valves decreased the amount of spray delivered by up to 48.15%. In contrast, the reduction of TD was only up to 37.7% at some positions within the tree crown and 65.1% in the gaps between trees. For all these reasons, this concept of precise orchard spraying can contribute to a reduction of costs and environmental pollution, while obtaining similar or even better leaf deposits.

From 2004 to 2008, the maturity of grapevine (Vitis vinifera L.) was researched on the basis of sugar content and total titratable acidity at six locations with an undulating topography in three varieties: 'Chardonnay', 'Riesling' and 'Sauvignon'. All sampling points were geo-referenced simultaneously with differential global positioning system (DGPS) for creating sugar maps. The significant influence of the varying altitude above sea level (from 389 to 462 m) on the concentration of total sugar and the total titratable acidity of grapes were estimated during the ripeness of vine berry from July to September. The results of a five-year study proved that significant improvement of the grapes quality is possible by creating site-specific maps, which enable separate begging of harvest according to the different sea level. Key words: Vineyard, sugar map, GIS, DGPS.