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Relevant bibliographies by topics / Lawn mower

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Academic literature on the topic 'Lawn mower'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Lawn mower"

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Heffernan, Michael. "Lawn Mower." Iowa Review 22, no. 2 (April 1992): 135. http://dx.doi.org/10.17077/0021-065x.4161.

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Grossi, Nicola, Marco Fontanelli, Elisa Garramone, Andrea Peruzzi, Michele Raffaelli, Michel Pirchio, Luisa Martelloni, et al. "Autonomous Mower Saves Energy and Improves Quality of Tall Fescue Lawn." HortTechnology 26, no. 6 (December 2016): 825–30. http://dx.doi.org/10.21273/horttech03483-16.

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Battery-powered autonomous mowers are designed to reduce the need of labor for lawn mowing compared with traditional endothermic engine mowers and at the same time to abate local emissions and noise. The aim of this research was to compare autonomous mower with traditional rotary mower on a tall fescue (Festuca arundinacea) lawn under different nitrogen (N) rates. A two-way factor experimental design with three replications was adopted. In the study, four N rates (0, 50, 100, and 150 kg·ha−1) and two mowing systems (autonomous mower vs. gasoline-powered walk-behind rotary mower equipped for mulching) were used. As expected, N fertilization increased turf quality. At the end of the trial, the autonomous mower increased turf density (3.2 shoots/cm2) compared with the rotary mower (2.1 shoots/cm2) and decreased average leaf width (2.1 mm) compared with the rotary mower (2.7 mm). Increased density and decreased leaf width with autonomous mowing yielded higher quality turf (7.3) compared with the rotary mower (6.4) and a lower weed incidence (6% and 9% cover for autonomous mower and rotary mower, respectively). Disease incidence and mowing quality were unaffected by the mowing system. The autonomous mower working time was set to 10 hours per day (≈7.8 hours for mowing and 2.2 hours for recharging) for a surface of 1296 m2. The traditional rotary mower working time for the same surface was 1.02 hours per week. The estimated primary energy consumption for autonomous mower was about 4.80 kWh/week compared with 12.60 kWh/week for gasoline-powered rotary mowing. Based on turf quality aspects and energy consumption, the use of autonomous mowers could be a promising alternative to traditional mowers.

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Bhateja, Neha, Nishu Sethi, Shefali Jain, and Yash Mishra. "Lawn Mower – An Automated Machine." International Journal of Innovative Research in Computer Science & Technology 8, no. 6 (November 2020): 407–10. http://dx.doi.org/10.21276/ijircst.2020.8.6.7.

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Dudley, Sid C., Lola Woodard Dudley, and Lonnie D. Phelps. "Consumer Reactions to Walk-Behind Power Lawn Mower Safety Features." Journal of Public Policy & Marketing 6, no. 1 (January 1987): 181–91. http://dx.doi.org/10.1177/074391568700600113.

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Because of growing concern about walk-behind power lawn mower-related injuries, the Consumer Products Safety Commission, lawn mower manufacturers, and consumer advocates have developed improved safety standards for mowers. This project reviewed the process of developing safety standards and studied the effectiveness of the standards, including consumer attitudes toward these product modifications. The resulting conclusions and implications have implications for the safety improvement process for a wide range of consumer products.

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Heasly, Christopher C., Randy M. Perse, Thomas B. Malone, and Stephen A. Fleger. "Riding Mower Control Placement Guideline Development." Proceedings of the Human Factors Society Annual Meeting 33, no. 6 (October 1989): 474–78. http://dx.doi.org/10.1518/107118189786759651.

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Accident investigations and subsequent hazard analysis studies of power mower accidents conducted by the Consumer Product Safety Commission (CPSC), indicated that the current version of the American National Standard for Turf Care Equipment - Power Lawn Mowers, Lawn and Garden Tractors, and Lawn Tractors - Safety Specifications (ANSI/OPEI B71.1-1986) might benefit from review and/or revision. The analyses indicated control activation, placement and/or operation may have contributed to a number of the accidents reviewed. Accordingly, special emphasis was to be focused on review of Part III: Ride-On Mowers, Lawn Tractors, and Lawn and Garden Tractors, paragraph 13., Controls. This paper describes the approach utilized in development of the inputs to update ANSI/OPEI B71.1-1986. Additionally, the paper describes a brief overview of the voluntary standard review/acceptance process.

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Blomberg, Leslie, and Dave Trezza. "The evolution of quiet lawn mowers and their impact on community noise and hearing conservation." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4896–902. http://dx.doi.org/10.3397/in-2021-2877.

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Noise measurements of more than 600 lawn mowers were made at 25 feet and at the operator's ear between 2004 and 2021. These data are presented and compared with the measurement of more than 60 mowers in 1973 by the US EPA. With the exception of electric lawn mowers, very little progress has been made quieting lawn mowers. Electric lawn mowers are significantly quieter than gas mowers. Recently, with improvements in battery technology, the performance of electric mowers has improved significantly. There are currently electric push, self-propelled, and ride-on mowers with comparable performance to gas powered mowers. Finally, the impacts of lawn mower noise on community noise and hearing conservation are discussed.

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Rosa, M. Khairul Amri, Reza Satria Rinaldi, and Ridho Illahi. "Rancang Bangun Prototype Mesin Pemotong Rumput Kendali Jarak Jauh Menggunakan Aplikasi Android." JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 9, no. 1 (May 30, 2019): 1–8. http://dx.doi.org/10.33369/jamplifier.v9i1.15394.

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ABSTRACTThis research develops a prototype of a remotely controlled lawn mower using Android smartphone with Bluetooth connection to avoid the risk of accidents. The lawn mower is controlled by an Android application developed with Mit App Inventor using HC-05 Bluetooth module connection. This prototype uses a DC motor as a driving motor to rotate the blade with an LM393 speed sensor using Arduino Uno microcontroller. The developed system is equipped with an option of grass height that can be adjusted. The test of HC-05 Bluetooth module resulted the maximum acceptable connection distance in the open space is 80 m and the maximum connection distance with a barrier is 10.45 m. DC motor speed tests are carried out on the lawn mowers at no load and loaded conditions. The results showed a slight decrease in motor speed at the grass height of 6 cm and 4 cm, but at 2 cm height the rotation dropped significantly.Keywords: lawn mower, remote control, Arduino Uno, Bluetooth, Android

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Naim, Bakhed. "Remote Control Lawn Mower." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1355–57. http://dx.doi.org/10.22214/ijraset.2019.3245.

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Bielski, Robert J. "Pediatric Lawn-Mower Injuries." Journal of Bone and Joint Surgery 100, no. 20 (October 2018): e134. http://dx.doi.org/10.2106/jbjs.18.00841.

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Still, Joseph, Hermann Orlet, Edward Law, and Charles Gertler. "Lawn Mower-Related Burns." Journal of Burn Care & Rehabilitation 21, no. 5 (September 2000): 403–5. http://dx.doi.org/10.1097/00004630-200021050-00002.

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Dissertations / Theses on the topic "Lawn mower"

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Rickel, Jayson Anthony. "Engineering Senior Design Project: Robotic Lawn Mower." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/321922.

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May, George Douglas. "Competitiveness in the South African lawn mower industry." University of South Africa, 2009. http://hdl.handle.net/10500/167.

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Dysenius, Hannah. "Non-Linear Automatic Control of Autonomous Lawn Mower." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129116.

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This master thesis contains modeling and nonlinear automatic control of an autonomous lawn mower. The vehicle shall be able to follow a magnetic field loop buried in the lawn on an arbitrary distance, including straddling. A unicycle model of the lawn mower has been derived based on previous work. The model holds for the assumption of non slip environment. Two diff erent control strategies have been implemented and evaluated in this thesis. One is based on feedback linearization and with the feedback gain estimated using an LQ-controller. The other strategy is based on linearization at an equilibrium point and also with the use of an LQ-controller. The only state that can be measured is the distance to the magnetic loop. In order to estimate the other states, an observer has been implemented using the linearized in an equilibrium point model and a Kalman filter. The navigation of the autonomous lawn mower is performed using a magnetic loop buried in the lawn. The non-linearity of the magnetic field causes diffi culties when estimating the distance to the loop. One magnetic field strength corresponds to two distances to the magnetic loop. The nature of the magnetic field and the measurement noise causes the precision of the controller to be limited. The conclusion of this master thesis is that it is possible to navigate and follow the magnetic loop at a distance greater than 0.3 [m], but with overshoots during sharp turns. If the reference distance is smaller than that, the behavior of the robot will be oscillating when following the loop. The limitations of the controller performance is due to the lack of information which can be extracted from the measurements of the magnetic field.

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Hughes, Bradley Evan. "A Navigation Subsystem for an Autonomous Robot Lawn Mower." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1312391797.

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Baichbal, Shashidhar. "MAPPING ALGORITHM FOR AUTONOMOUS NAVIGATION OF LAWN MOWER USING SICK LASER." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1334587886.

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Crum, Megan Leigh. "QUANTIFICATION OF EMISSIONS FROM LAWN AND GARDEN EQUIPMENT IN CENTRAL FLORIDA." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4290.

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The objective of this study was to evaluate the practical limits of EPA s NONROAD 2005 to accurately simulate Central Florida conditions, especially with regard to lawn and garden equipment. In particular we investigated a NONROAD emission inventory using default inputs and then created a locally specific emission inventory. These emission inventories were prepared for Orange, Osceola, and Seminole county and focused only on the VOC and NOx emissions caused by lawn and garden equipment. The model was manipulated to assess its ability to represent this specific category of nonroad equipment for a given airshed first by running a base case scenario using default data and then by developing a locally-specific scenario through administration of a survey. The primary purpose of the survey was to evaluate local values for equipment population, equipment characteristics, activity estimates, and other relevant information. To develop these local input estimates, data were collected concerning population and usage statistics in the Central Florida area and were combined with emission factors, load factors, allocation factors, and other needed values that have been previously established by the U.S. EPA. The results of the NONROAD model were compared with the resulting emission estimates calculated from locally derived inputs, and as a result of the analysis an accurate emission estimate was calculated. In addition, several possible air quality action steps were further assessed according to feasibility, cost, and predicted emission benefit. These potential management projects were further investigated by assessing the success of other similar projects in other cities in an effort to establish specific costs and emission benefits as they relate to the tri-county area.
M.S.Env.E.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Environmental Engr MSEnvE

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Sparr, Henrik. "Object detection for a robotic lawn mower with neural network trained on automatically collected data." Thesis, Uppsala universitet, Datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444627.

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Machine vision is hot research topic with findings being published at a high pace and more and more companies currently developing automated vehicles. Robotic lawn mowers are also increasing in popularity but most mowers still use relatively simple methods for cutting the lawn. No previous work has been published on machine learning networks that improved between cutting sessions by automatically collecting data and then used it for training. A data acquisition pipeline and neural network architecture that could help the mower in avoiding collision was therefor developed. Nine neural networks were tested of which a convolutional one reached the highest accuracy. The performance of the data acquisition routine and the networks show that it is possible to design a object detection model that improves between runs.

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Beno, Jonathan A. "CWRU Cutter: Design and Control of an Autonomous Lawn Mowing Robot." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270492619.

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Thesis (Master of Engineering)--Case Western Reserve University, 2010
Department of EMC - Mechanical Engineering Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center

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Selling, Jimmy. "Beröringsfria avståndssensorer för en autonomgräsklippare." Thesis, KTH, Mekatronik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-41510.

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SammanfattningExamensarbetet har syftat till att undersöka möjligheten att utrusta Husqvarnas autonomagräsklippare med avståndssensorer. Dessa ska hindra gräsklipparen från att kollidera med hinder i sinomgivning. Gräsklipparen arbetar i en miljö där väder, temperatur, ljusförhållanden och underlagvarierar kraftigt. Detta innebär att kravet på sensorerna är högt.Av de sensorer som undersökts har det visat sig att ultraljud och ”structured light” är de system sombäst skulle kunna uppfylla all dessa krav till ett rimligt pris.I examensarbetet undersöks därför ultraljudssensorer från företaget Maxbotix närmare ochimplementeras i en prototyp. Fyra stycken sensorer placeras på gräsklipparens kaross. Dessakommunicera med en mikrokontroller som i sin tur förmedlar mätdata till en dator. På datorn körsen sökalgoritm som tolkar och sammanfogar sensorernas mätdata.Efter ett antal tester visar det sig att de sensorer som valts inte uppfyller de krav som ställts. Dockbör den metod och algoritm som används kunna uppfylla kraven om en annan typ av sensor används.
AbstractThis master thesis is aiming to investigate the possibility of adding distance sensors to Husqvarna’sautonomic lawnmower. The goal is to prevent the lawnmower from colliding with obstacles in itssurroundings. The environment where the lawnmower is working is very dynamic in sense ofweather, temperature, ambient lightning and terrain. This gives high requirements on the sensors.Of all the sensors that were examined, ultrasonic and structured lightning came out as the ones bestfit to fill these requirements to a reasonable cost.In this thesis ultrasonic sensors from Maxbotix were implemented on a prototype. Four sensors wereplaced on the lawnmower body and connected to a microcontroller. The microcontroller then passesalong the sensor data to a computer that is running a search algorithm. The algorithm is used tointerpret the data and merge the different measurements.After certain amount of testing it was shown that the chosen sensor did not meet all therequirements. However the method and the chosen algorithm should suffice with another type ofsensor.

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Kopec, David, and Kai Umeda. "Mowing Turfgrasses in the Desert." College of Agriculture, University of Arizona (Tucson, AZ), 2015. http://hdl.handle.net/10150/579500.

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Books on the topic "Lawn mower"

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ill, Dorman Brandon, ed. Lawn mower magic. New York: Random House, 2012.

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O'Nan, Gerald D. Lawn mower on the loose. Wheaton, Ill: Tyndale House, 1988.

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Yumlu, S. V. Lawn mower use and emissions in Canada. Ottawa: Environment Canada, 1994.

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Charles, Eric. The farm shop: The best lawn mower in the village. London: Grafton, 1986.

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Petrone, Susan, and Mary F. Babington. Private companies in the lawn & garden equipment industry. Cleveland, Ohio: Freedonia Group, 1998.

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Commission, Monopolies and Mergers. RANSOMES plc and Westwood Engineering Ltd and Laser Lawnmowers Ltd: A report on the merger situation. London: HMSO, 1990.

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Stute, Lela LaBree. Summer Pugs. usa: Lulu, 2010.

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The grass is greener: Our love affair with the lawn. London: HarperCollins, 2000.

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Agency, Illinois Environmental Protection. El programa lawnmover buy-back: Mantenga la ce sped verde y el aire limpia! Springfield, Ill: Illinois Environmental Protection Agency, 2004.

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Agency, Illinois Environmental Protection. Lawnmower Buy-Back Program: Keep your lawn green and the air clean. Springfield, Ill: Illinois Environmental Protection Agency, 2004.

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Book chapters on the topic "Lawn mower"

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Jiang, Fachao, Entuo Liu, and Molin Wang. "Design on a New Energy Lawn Mower: Fuel Cell Lawn Mower." In Intelligence Computation and Evolutionary Computation, 249–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31656-2_37.

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Guo, Xu, Jinpen Huang, Lepeng Song, and Feng Xiong. "Differential Steering Control System of Lawn Mower Robot." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 354–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77417-2_26.

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Foldager, Frederik F., Peter Gorm Larsen, and Ole Green. "Development of a Driverless Lawn Mower Using Co-simulation." In Software Engineering and Formal Methods, 330–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74781-1_23.

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Skogley, C. R. "Influence of Fertilizer Rate, Mower Type, and Thatch Control on Colonial Bentgrass Lawn Turf." In Proceedings of The Third International Turfgrass Research Conference, 337–42. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2135/1974.proc3rdintlturfgrass.c39.

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Einecke, Nils, Jörg Deigmöller, Keiji Muro, and Mathias Franzius. "Boundary Wire Mapping on Autonomous Lawn Mowers." In Field and Service Robotics, 351–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67361-5_23.

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Bjerre, Liv, Michelle Pace, and Somdeep Sen. "Accessing the Danish Labour Market: On the Coexistence of Legal Barriers and Enabling Factors." In IMISCOE Research Series, 135–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67284-3_7.

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AbstractHistorically, Denmark was a “first-mover” as a signatory to liberal international humanitarian laws and conventions, especially with regard to refugees. Yet, in recent years Denmark has cherished the role of a different kind of “first mover” – namely as hardliner when it comes to immigration policies. This is evident in the existent political discourse and restrictive immigration policies personified not least in the number of times Denmark has altered (and tightened) immigration regulations. Yet, we demonstrate that, while “barriers” exist in terms of entering Denmark, the Danish labour market structure is such that it ends up facilitating refugees’ integration and legally protecting their labour rights. To be sure, this protection is a way of guaranteeing the rights of Danish workers who would adversely be affected by the proliferation of an unregulated labour market where refugees are compelled to work under worse legal and economic conditions. However, the Danish case ends up being one where, counterintuitively, legal barriers (to entering the labour market) coexist alongside enabling factors (legal guarantees) of refugees’ rights.

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van Loon, Sophie. "The Power of Google: First Mover Advantage or Abuse of a Dominant Position?" In Information Technology and Law Series, 9–36. The Hague, The Netherlands: T. M. C. Asser Press, 2012. http://dx.doi.org/10.1007/978-90-6704-846-0_2.

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Shiraishi, Yoichi, Haohao Zhang, and Kazuhiro Motegi. "AI-Based Approach for Lawn Length Estimation in Robotic Lawn Mowers." In Robotics Software Design and Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97530.

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This chapter describes a part of autonomous driving of work vehicles. This type of autonomous driving consists of work sensing and mobility control. Particularly, this chapter focuses on autonomous work sensing and mobility control of a commercial electric robotic lawn mower, and proposes an AI-based approach for work vehicles such as a robotic lawn mower. These two functions, work sensing and mobililty control, have a close correlation. In terms of efficiency, the traveling speed of a lawn mower, for example, should be reduced when the workload is high, and vice versa. At the same time, it is important to conserve the battery that is used for both work execution and mobility. Based on these requirements, this chapter is focused on developing an estimation system for estimating lawn grass lengths or ground conditions in a robotic lawn mower. To this end, two AI algorithms, namely, random forest (RF) and shallow neural network (SNN), are developed and evaluated on observation data obtained by a fusion of ten types of sensor data. The RF algorithm evaluated on data from the fusion of sensors achieved 92.3% correct estimation ratio in several experiments on real-world lawn grass areas, while the SNN achieved 95.0%. Furthermore, the accuracy of the SNN is 94.0% in experiments where sensor data are continuously obtained while the robotic lawn mower is operating. Presently, the proposed estimation system is being developed by integrating two motor control systems into a robotic lawn mower, one for lawn grass cutting and the other for the robot’s mobility.

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"Failure of Brittle Lawn Mower Blades." In ASM Failure Analysis Case Histories: Household Products and Consumer Goods. ASM International, 2019. http://dx.doi.org/10.31399/asm.fach.homegoods.c0090959.

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Kurilova-Palisaitiene, Jelena, Johan Vogt Duberg, Gustav Johansson, and Erik Sundin. "How an OEM Can Become Circular with Remanufacturing: The Case of Robotic Lawn Mowers." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200164.

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The consumption of resources is at an alarmingly high level, and there is a high need for resource-efficient alternatives to manufacturing. Remanufacturing is one way to reduce the use of both materials and energy, while still providing products with a like-new condition. This paper aims to define critical areas to assess when applying remanufacturing to original equipment manufacturers (OEMs). The research was conducted by interweaving remanufacturing’s role in a circular economy (CE) with a single case study at a robotic lawn mower OEM. The case study was split into three parts that separately investigated customer demand, product design and economic sustainability, respectively, all in the area of remanufacturing. This paper addressed the research gap in OEM strategy towards a CE with remanufacturing, defining five critical areas to assess when applying remanufacturing to OEMs: customer, product, sustainability (economic, environmental and social), business model, and production system. The findings of the paper could be useful for many OEMs willing to shift to a CE with remanufacturing.

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Conference papers on the topic "Lawn mower"

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Wang, Kai-Sheng, and Chen-Kang Huang. "Intelligent Robotic Lawn Mower Design." In 2018 International Conference on System Science and Engineering (ICSSE). IEEE, 2018. http://dx.doi.org/10.1109/icsse.2018.8520053.

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Siregar, Baihaqi, Boi Manggala Hutagaol, and Opim Salim Sitompul. "Smartphone-Controllable Lawn Mower Robot." In 2020 International Conference on ICT for Smart Society (ICISS). IEEE, 2020. http://dx.doi.org/10.1109/iciss50791.2020.9307574.

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Plascencia, Alfredo, Vítězslav Beran, Jaroslav Rozman, and Aguilar Armando. "Working Progress towards Lawn Mower Automation." In 17th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008924300990108.

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Guo-Shing Huang, Hsiung-Cheng Lin, Keng-Chih Lin, and Shih-Hung Kao. "Intelligent auto-saving energy robotic lawn mower." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5641783.

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Huang, Y. Y., Z. L. Cao, S. J. Oh, E. U. Kattan, and E. L. Hall. "Automatic Operation For A Robot Lawn Mower." In Cambridge Symposium_Intelligent Robotics Systems, edited by Nelson Marquina and William J. Wolfe. SPIE, 1987. http://dx.doi.org/10.1117/12.937815.

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Sundaram, C. Shanmuga, M. Saravana Kumar, B. Surenderan, S. Ramalingam, and R. Ramkumar. "Plan and Development of Intelligent Solar Lawn Mower." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2021. http://dx.doi.org/10.1109/icscan53069.2021.9526483.

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Brickman, Dennis B. "Commercial Walk-Behind Lawn Mower Failure Analysis Case Study." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/rsafp-8859.

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Abstract A failure modes and effects testing program was conducted to analyze the cause of a mid-size commercial walk-behind lawn mower accident in which the operator’s foot came in contact with the rotating blade. Systematic analysis showed that the accident was caused by improper mower service and operator misuse of the mower. Testing results reveal that an alternative design proposal does not preclude this random event. Accident prevention countermeasures are explored.

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Ferrone, Christopher W., Julie A. Przybyla, and Matthew T. Orseske. "Riding Mower Injury Prevention (An Alternative Design for No-Mow-In-Reverse)." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10521.

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Overwhelmingly, research indicates that there are thousands of injuries each year related to the use of lawn mowers. Riding mowers have specific injury scenarios such as when a child is run over by the riding lawn mower when it is in reverse with the cutting blades engaged. In conjunction with ANSI B71.1 implemented in 1986, various designs have been employed to attempt to reduce or eliminate this injury pattern. An alternative design has been built which incorporates both mechanical means and human factors methods to accomplish this goal. This paper will outline the existing commercially available designsA as well as the authors’ alternative design by comparing each design feature and its corresponding safety philosophy.

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9

Wasif, Muhammad. "Design and implementation of autonomous Lawn-Mower Robot controller." In 2011 7th International Conference on Emerging Technologies (ICET). IEEE, 2011. http://dx.doi.org/10.1109/icet.2011.6048466.

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Paala, Noli Mark A., Nikko Marc M. Garcia, Rojimar A. Supetran, and Ma Erica Lyn B. Fontamillas. "Android Controlled Lawn Mower Using Bluetooth and WIFI Connection." In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019. http://dx.doi.org/10.1109/ccoms.2019.8821762.

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Reports on the topic "Lawn mower"

1

Edtmayer, Hermann, Alexander Trattner, Stephan Schmidt, Roland Kirchberger, Jakob Trentini, and Johann Weiglhofer. Real World Operation of a Standard Lawn Mower Engine from a Scientific Perspective. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9124.

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2

Seasonal lawn mower operator crushed and dies after lawn mower rolls over on a 30 degree slope. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, August 2016. http://dx.doi.org/10.26616/nioshsface15ky041.

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