Application of wireless technology to determine optimum maturity in strains of Malbec vineyards for Argentine wine sectors

Abeledo, Maria Claudia; Bruschetti, Fabio; Priano, Daniel Alberto; Calbosa, Dana; Crubellier, Rita; Iriso, Pedro; Abete, Esteban

doi:10.1109/cacidi.2016.7785984

Cited by 2 publications

(1 citation statement)

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“…Such data then need to be stored, processed, analyzed, and interpreted using software. Results of the data analysis can be used by manufacturers, entrepreneurs, and practitioners to facilitate their decision-making, reduce costs, and improve the quality of the product [4]. The real-time kinematic (RTK) tool is widely used in high-precision positioning and navigation applications, and can also be used in automated driving use cases [5].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Cutting Performance of a Robot Mower Using Custom Built Software

Martelloni

Fontanelli

Pieri³

et al. 2019

Agronomy

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Before the introduction of positioning technologies in agriculture practices such as global navigation satellite systems (GNSS), data collection and management were time-consuming and labor-intensive tasks. Today, due to the introduction of advanced technologies, precise information on the performance of agricultural machines, and smaller autonomous vehicles such as robot mowers, can be collected in a relatively short time. The aim of this work was to track the performance of a robot mower in various turfgrass areas of an equal number of square meters but with four different shapes by using real-time kinematic (RTK)-GNSS devices, and to easily extract data by a custom built software capable of calculating the distance travelled by the robot mower, the forward speed, the cutting area, and the number of intersections of the trajectories. These data were then analyzed in order to provide useful functioning information for manufacturers, entrepreneurs, and practitioners. The path planning of the robot mower was random and the turfgrass area for each of the four shapes was 135 m2 without obstacles. The distance travelled by the robot mower, the mean forward speed, and the intersections of the trajectories were affected by the interaction between the time of cutting and the shape of the turfgrass. For all the different shapes, the whole turfgrass area was completely cut after two hours of mowing. The cutting efficiency decreased by increasing the time, as a consequence of the increase in overlaps. After 75 minutes of cutting, the efficiency was about 35% in all the turfgrass areas shapes, thus indicating a high level of overlapping.

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Section: Introductionmentioning

confidence: 99%