Abstract:Autonomous mowers are becoming increasingly common in public and private greenspaces. Autonomous mowers can provide several advantages since these machines help to save time and energy and prevent operators from possible injuries. Current autonomous mowers operate by following random trajectories within areas defined by a shallow-buried boundary wire that has the purpose to generate an electro-magnetic field. Once the electro-magnetic field is perceived by the autonomous mower, the machine will stop and change… Show more
“…The random operating pattern of the autonomous mower turned into frequent overlapping, leading to an overall higher working time to mow a given area compared to a systematic operating pattern. The autonomous mowers' efficiency was close to 37% for a surface with no obstacles [34], while in an area with many obstacles, such as the vineyard, the working efficiency of the machine results were even lower [25]. Despite a higher working time, during both years, the primary energy consumption of the innovative management system was lower compared to the primary energy consumption of the conventional management system.…”
Section: Resultsmentioning
confidence: 89%
“…Autonomous mowers are battery-powered machines designed to autonomously perform lawn mowing that offer high energy efficiency [20], with no local pollution from exhaust gasses and noise emissions, preventing operators from coming into contact with allergens [21,22]. Although not yet designed for agriculture purposes, autonomous mowers may improve vineyard floor management sustainability as a consequence of their reduced ground pressure [23], their high frequency of cut [24] and their ability to move between vine plants [25]. Continuous mowing has the potential to prevent weeds from excessive vertical development [26] and to encourage bermudagrass lateral growth [27].…”
Section: Introductionmentioning
confidence: 99%
“…Continuous mowing has the potential to prevent weeds from excessive vertical development [26] and to encourage bermudagrass lateral growth [27]. The possibility to work both between the rows and under-trellis [25] allows to mow the entire cultivated area, reducing the need for chemical weed control.…”
The establishment of permanent cover crops is becoming a common practice in vineyard floor management. Turfgrass science may provide species and techniques with a high potential for improving the sustainability of vineyard floor management. Based on this assumption, an experiment was carried out during 2018 and 2019 at the Donna Olimpia Vineyard, Bolgheri, Italy. The trial aimed at comparing an innovative floor management system based on a turf-type cultivar of bermudagrass mown with an autonomous mower with a conventional floor management system. Ground cover percentage, energy consumption, CO2 emissions, grapevine water status, leaf nitrogen content, fruit yield and must composition have been assessed in order to perform the comparison. The innovative vineyard floor management produced an almost complete ground cover (98%) at the end of the second growing season, with the resident species reduced to a small percentage (4%). Resident species growing under-trellis were efficiently controlled without herbicide applications. A lower primary energy consumption and a reduction in CO2 emissions were observed for the innovative management system compared to the conventional management system. Grapevine water status, leaf chlorophyll content, soil–plant analyses development (SPAD), fruit yields and must composition were similar between the different soil management systems. Based on results obtained in this trial, turf-type bermudagrass and innovative mowing machines may contribute to enhance the sustainability of vineyard floor management.
“…The random operating pattern of the autonomous mower turned into frequent overlapping, leading to an overall higher working time to mow a given area compared to a systematic operating pattern. The autonomous mowers' efficiency was close to 37% for a surface with no obstacles [34], while in an area with many obstacles, such as the vineyard, the working efficiency of the machine results were even lower [25]. Despite a higher working time, during both years, the primary energy consumption of the innovative management system was lower compared to the primary energy consumption of the conventional management system.…”
Section: Resultsmentioning
confidence: 89%
“…Autonomous mowers are battery-powered machines designed to autonomously perform lawn mowing that offer high energy efficiency [20], with no local pollution from exhaust gasses and noise emissions, preventing operators from coming into contact with allergens [21,22]. Although not yet designed for agriculture purposes, autonomous mowers may improve vineyard floor management sustainability as a consequence of their reduced ground pressure [23], their high frequency of cut [24] and their ability to move between vine plants [25]. Continuous mowing has the potential to prevent weeds from excessive vertical development [26] and to encourage bermudagrass lateral growth [27].…”
Section: Introductionmentioning
confidence: 99%
“…Continuous mowing has the potential to prevent weeds from excessive vertical development [26] and to encourage bermudagrass lateral growth [27]. The possibility to work both between the rows and under-trellis [25] allows to mow the entire cultivated area, reducing the need for chemical weed control.…”
The establishment of permanent cover crops is becoming a common practice in vineyard floor management. Turfgrass science may provide species and techniques with a high potential for improving the sustainability of vineyard floor management. Based on this assumption, an experiment was carried out during 2018 and 2019 at the Donna Olimpia Vineyard, Bolgheri, Italy. The trial aimed at comparing an innovative floor management system based on a turf-type cultivar of bermudagrass mown with an autonomous mower with a conventional floor management system. Ground cover percentage, energy consumption, CO2 emissions, grapevine water status, leaf nitrogen content, fruit yield and must composition have been assessed in order to perform the comparison. The innovative vineyard floor management produced an almost complete ground cover (98%) at the end of the second growing season, with the resident species reduced to a small percentage (4%). Resident species growing under-trellis were efficiently controlled without herbicide applications. A lower primary energy consumption and a reduction in CO2 emissions were observed for the innovative management system compared to the conventional management system. Grapevine water status, leaf chlorophyll content, soil–plant analyses development (SPAD), fruit yields and must composition were similar between the different soil management systems. Based on results obtained in this trial, turf-type bermudagrass and innovative mowing machines may contribute to enhance the sustainability of vineyard floor management.
“…The custom-built software calculates the area mowed by the autonomous mower over a given period of time, based on the distance traveled and the cutting width. The mowed area data were recorded every 15 min and are reported as a percentage of the total area [37].…”
Section: Assessmentmentioning
confidence: 99%
“…In this trial, significant reductions of power consumption and CO 2 emissions were observed compared to the ordinary technique. Despite designed for lawns mowing, autonomous mowers have shown promising results for agricultural purposes [28,37] due to their reduced size and high frequency of cut [38]. This last characteristic has the potential to exert a continuous mechanical control of both CC and weeds, preventing them from reaching an undesirable vertical growth [38].…”
Enhancing vineyards sustainability and reducing herbicides usage is a crucial theme, thus alternative weed management methods are starting to be studied. Cover crops have been shown to provide for several environmental services such as performing an efficient weed control and promoting biodiversity, thus improving the sustainability of the overall management system. However, the use of cover crops is usually confined to the interrow area in order to avoid competition with vines. Under-trellis weed management in vineyards is an important challenge, conventionally fulfilled by cultivation or repeated herbicides applications. Autonomous mowers are small autonomous machines that have shown a great efficiency when employed in agricultural contexts. Due to their reduced size, they can easily prevent the excessive vertical growth of weeds both in the interrows and under trellis without the use of chemical applications. The aim of this trial was to evaluate if the combination of cover crop species and autonomous mowers management could improve vineyard sustainability. Vineyard floor cover that was managed with an autonomous mower had a shorter canopy height and a lower weed dry biomass compared to the conventionally managed vineyard floor cover. Vineyard floor management providing cover crops and autonomous mowing had a significantly lower weed cover percentage compared to conventional floor management, especially under-trellis. The results of this trial suggest that the combination of cover crops and autonomous mowers may be a sustainable and reliable technique to include in vineyards floor management.
This paper presents a novel solution of coverage path planning for robotic mowing applications. The planning algorithm is based on the Boustrophedon motions and the rapid Voronoi diagram. The coordinate conversion and the sweeping vector is defined by minimum bounding box and the Voronoi travel paths are designed to reduce the computational cost and execution time compared to conventional heuristic methods. The tracked path is controlled via dynamic feedback in standard lawn mowing robots under robot operating system (ROS). Within ROS, the information exchanging among different tasks of both extensive simulation cases and experimental field tests can be conducted easily. When meeting unknown obstacles, the proposed algorithm can re-plan its paths dynamically. The performance of the proposed algorithm is compared to several conventional coverage algorithms in terms of time efficiency, coverage, repetition, and robustness with respect to both concave and convex shapes. The field tests are conducted to demonstrate that the applicability of the sensor fusion and robustness of the proposed algorithm for the complete coverage tasks by robotic mowers.
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