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Letteratura scientifica selezionata sul tema "Farm safety"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 21 febbraio 2023

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Articoli di riviste sul tema "Farm safety"

1

Kilroy, Rachael. "On-farm safety". Veterinary Record 172, n. 16 (20 aprile 2013): ii. http://dx.doi.org/10.1136/vr.f2552.

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2

Neufeld, Steven J., e Jennifer L. Cinnamon. "Farm Parents' Attitudes Towards Farm Safety Experts*". Rural Sociology 69, n. 4 (dicembre 2004): 532–51. http://dx.doi.org/10.1526/0036011042722769.

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3

Carrabba, James J., Sharon Scofield e John May. "On-Farm Safety Program". Journal of Agromedicine 13, n. 3 (29 ottobre 2008): 139–48. http://dx.doi.org/10.1080/10599240802371672.

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4

Fortun, Kim. "Anthropology in Farm Safety". Journal of Agromedicine 22, n. 1 (7 novembre 2016): 14–16. http://dx.doi.org/10.1080/1059924x.2016.1254697.

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5

Wheat, John R. "Approaching Actionable Farm Safety Programs". Journal of Agromedicine 10, n. 4 (dicembre 2005): 5–7. http://dx.doi.org/10.1300/j096v10n04_03.

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6

Gundersen, Craig, e Susan Offutt. "Farm Poverty and Safety Nets". American Journal of Agricultural Economics 87, n. 4 (novembre 2005): 885–99. http://dx.doi.org/10.1111/j.1467-8276.2005.00776.x.

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7

Hartigan, Chris. "Youth Targeted for Farm Safety". Rural Society 3, n. 4 (dicembre 1993): 19. http://dx.doi.org/10.1080/10371656.1993.11005107.

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8

Preece, Jenny. "ON THE FARM: CHILDREN'S SAFETY". Australian Journal of Rural Health 3, n. 4 (novembre 1995): 166–70. http://dx.doi.org/10.1111/j.1440-1584.1995.tb00173.x.

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9

Schafer, Stephen R., e Joe W. Kotrlik. "Factors affecting farm safety practices". Journal of Safety Research 17, n. 3 (settembre 1986): 123–27. http://dx.doi.org/10.1016/0022-4375(86)90027-7.

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10

Dewar, Diane M. "Farm Health and Safety Issues". AAOHN Journal 44, n. 8 (agosto 1996): 391–401. http://dx.doi.org/10.1177/216507999604400805.

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This study identifies gender specific farm health and safety issues. Based on a sample from the 1988 New York Farm Family Survey, descriptive statistics and exploratory factor analysis were used to establish unique gender based profiles in terms of labor force participation, and prioritization of farm health and safety issues, concerns, and information sources. Based on the factor analysis, women's main farm health and safety issues included physical problems and occupational hazard screening needs, provider integrity, and economic incentives. Men's main issues consisted of accident related counseling needs, skin related hazards, and the farm related convenience of the services. Men and women had statistically significant differences in the types of information sources and reasons for using farm health and safety services. These differences imply that farm health and safety providers must consider both gender related information gathering and farm health and safety prioritizations to more efficiently allocate intervention resources, more effectively promote safety, and reduce the incidence of occupationally related morbidity and mortality in agriculture.

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Più fonti

Tesi sul tema "Farm safety"

1

Murray, Guy. "Farm health and safety in Australia /". Title page and table of contents only, 1994. http://web4.library.adelaide.edu.au/theses/09HS/09hsm892.pdf.

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2

Portera, Laura L. "Increasing farm safety using behavioral skills training /". Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1559853181&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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3

Ibrahim, Mohammed J. "Farm safety and health needs among limited resource farmersin selected counties of North Carolina". Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/29689.

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The literature illustrates that agriculture continues to be the leader in the nation for accidents. The attitudes and behaviors of farmers and farm workers towards farm equipment and its safe use are major concerns. Farm safety education and research are strongly needed to prevent or reduce farm injuries. The primary purpose of this study was to investigate health and safety problems among limited resource farmers in selected counties of North Carolina. The survey method with a mail questionnaire was used to collect the data. The sample for this study consisted of 297 limited resource farmers in North Carolina. Selected conclusions drawn from the findings were: 1. The risks associated with limited resource farmers and their workers, such as use of tractors, machinery, and farm chemicals are very high. 2. Farmers between the ages of 36-50 have higher expected injuries compared to other age groups. 3. Training associated with the use of farm tractors, machinery, and personal protective equipment (PPE) is very essential for limited resource farmers. 4. The research suggested that hazards exposed by using tractors without rollover protection structure (ROPS) could result in higher injuries among limited resource farmers and workers. Selected recommendations: 1. Federal and state governments should give incentives to farmers to encourage them to retrofit ROPS on their old tractors. 2. Mandatory training should be required for small scale or limited resource farmers on utilization of farm equipment operation and personal protective equipment (PPE) utilization. 3. New design of preventive guards and shields that can be easily removed or opened for maintenance and remounted or closed afterward are needed.
Ph. D.

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4

Whipp, Alexander R. "Youth Farm Safety: Identification of Common Tasks and Availability of Safety and HealthTeaching Resources". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu152414759731944.

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5

Oden, Derek S. "Harvest of hazards the farm safety movement, 1940-1975". [Ames, Iowa : Iowa State University], 2006.

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6

Zhao, Wei. "Defining farm-safety research priorities and adjusting farm insurance premiums by a risk analysis approach". Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38620.

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7

Franklin, Richard Charles. "Epidemiology of Farm Injuries in New South Wales". Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1930.

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Injuries to people living and working on farms in New South Wales continue to be a significant burden on the health system, Workers’ Compensation system, agricultural industries and farming families. Strategies to reduce the number and severity of injuries suffered by farmers and people working on farms rely on accurate information. Unfortunately there is no one dataset available to describe the circumstances surrounding farm injuries and the size of this burden in Australia. Hence, a number of different data sources are required to provide a picture of farm injuries. To date, there has been very little critical examination of what value each of these datasets provides to describing farm injuries. This Thesis aimed to: • Undertake surveillance of injuries occurring to people on farms or during agricultural production in NSW using data from an Emergency Department, NSW Hospital Separations information, NSW Workers’ Compensation Claims, and ABS Deaths data. • Critically examine the utility of Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths Data for the surveillance of farm injuries in NSW. • Critically examine data classification systems used in Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths data collections to describe the breadth of farm injuries in NSW. • Define the priority areas for farm injury prevention initiatives in NSW based on the information obtained from the examination of the data from Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths. • Evaluate the effectiveness of the NSW Rollover Protective Structure (ROPS) rebate scheme and examine the utility of the data currently available in NSW to measure the performance of the program. Four datasets, Tamworth Emergency Department, Hospital Separations, Workers’ Compensation and the Australian Bureau of Statistics (ABS) Deaths data were used to provide information on the surveillance of farm injuries, describe the breadth of classifications used to describe farm injuries, and define priorities for the prevention of farm injuries. There were 384 farm-related injuries which presented to the Emergency Department at the Tamworth Base Hospital between 1 September 1997 and 31 August 1998. Emergency Department data collected in this study used the Farm Injury Optimal Dataset (FIOD) for classification, which allowed for a comprehensive picture of the circumstances surrounding the injury event. The three most common external causes of injury were related to horses, motorcycles, and animals. Commonly people were working at the time of injury. Children represented 21% of the people injured. The average number of injuries per 100 farms per annum was 34.7. An examination of hospital discharge data for NSW was undertaken for the period 1 July 1992 to 30 June 2000 where the location of the injury was a farm. Classification of cases in this dataset conformed to the International Classification of Disease (ICD) versions 9 and 10. There were 14,490 people who were injured on a farm during the study period. The three most common external causes of injury were motorcycles, animals being ridden and agricultural machinery. Children represented 17% of all farm injury cases. The rate per 1,000 farms ranged from 19 to 42 per annum. An examination of Workers’ Compensation claims for agricultural industries in NSW between 1 July 1992 and 30 June 2001 was undertaken. The ‘Type of Occurrence’ classification system was used to code the claims. There were 24,332 claims of which the majority were males (82%). The incidence of injury / disease in agriculture per annum varied from 37 per 1,000 workers to 73 per 1,000 workers. The rate per 1,000 agricultural establishments varied from 54 to 76. The average cost of a claim was $10,880 and the average time lost per claims was 9.2 weeks. There were 81 deaths and 3,158 permanent disabilities. The three most common agents were sheep / goats (5%), ferrous and non-ferrous metals (5%), crates / cartons / boxes / etc (5%). Using ABS deaths data to examine the deaths of people working and living on farms was limited to males whose occupation was recorded as ‘farmer and farm manager’ and ‘agricultural labourer and related worker’. There were 952 deaths over the period 1 January 1991 and 31 December 2000. The information provided a consistent series of cases over time. Areas where prevention should be directed included motor vehicle accidents; falls; agricultural machinery; other machinery; firearms; poisoning; and drowning. Using any one of the datasets alone to examine people injured on farms not only underestimates the number of people injured, but also misses particular types of agents involved in farm injuries. Each of the datasets used in this Thesis provides a different perspective of farm injury in NSW. By examining the information together, there are a number of areas which are consistently represented in each dataset such as falls and agricultural machinery. While no one dataset provided all the information that would be useful for the prevention of injuries, the available information does provide direction for the development of prevention strategies. The overall weakness of the information provided is that it misses a number of risk factors that contribute to farm injuries such as fatigue and training. The lack of appropriate denominator information also makes it difficult to directly compare the datasets and estimate the size of the problem. There are a number of additional coding categories that could be included in each dataset that would provide a better understanding of the different groups at risk of sustaining an injury on a farm or during agricultural work. These coding categories include activity at time of injury, admission to hospital, and occupation. An example of the use of data to determine the effectiveness of a farm injury prevention program is the ‘NSW Rollover Protective Structure (ROPS) Rebate Scheme’ evaluation. Tractor rollover deaths have been identified as an issue for prevention by Farmsafe Australia; however, such deaths were not identified in any of the datasets used in this Thesis due to coding limitations in the ABS data. In this Thesis information about the evaluation of the ‘NSW ROPS Rebate Scheme’ is presented. The scheme was successful in fitting 10,449 ROPS to tractors and the following lessons were learnt: when providing a rebate, the administration (i.e. sending the cheque) needs to be done well; advertising is important and should be co-ordinated, increase the awareness of the risk(s) the intervention is aiming to prevent and effectiveness of subsequent solution (s); the program should ensure there is an increased awareness of the outcome the intervention is aiming to prevent; if regulation is part of the program, enforcement needs to undertaken; and should address any barriers to uptake. The information provided in this Thesis highlights the substantial burden that farm injury places on the agricultural and rural sector of NSW. While there is no one data source that can describe the circumstances and the burden of farm injuries, the currently available datasets do provide an insight into the circumstances of farm injuries and the burden these injuries place on health, Workers’ Compensation, agricultural industries and farming families.

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8

Franklin, Richard Charles. "Epidemiology of Farm Injuries in New South Wales". University of Sydney, 2007. http://hdl.handle.net/2123/1930.

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Abstract (sommario):

Doctor of Philosophy (PhD)
Injuries to people living and working on farms in New South Wales continue to be a significant burden on the health system, Workers’ Compensation system, agricultural industries and farming families. Strategies to reduce the number and severity of injuries suffered by farmers and people working on farms rely on accurate information. Unfortunately there is no one dataset available to describe the circumstances surrounding farm injuries and the size of this burden in Australia. Hence, a number of different data sources are required to provide a picture of farm injuries. To date, there has been very little critical examination of what value each of these datasets provides to describing farm injuries. This Thesis aimed to: • Undertake surveillance of injuries occurring to people on farms or during agricultural production in NSW using data from an Emergency Department, NSW Hospital Separations information, NSW Workers’ Compensation Claims, and ABS Deaths data. • Critically examine the utility of Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths Data for the surveillance of farm injuries in NSW. • Critically examine data classification systems used in Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths data collections to describe the breadth of farm injuries in NSW. • Define the priority areas for farm injury prevention initiatives in NSW based on the information obtained from the examination of the data from Emergency Department, Hospital, Workers’ Compensation, and ABS Deaths. • Evaluate the effectiveness of the NSW Rollover Protective Structure (ROPS) rebate scheme and examine the utility of the data currently available in NSW to measure the performance of the program. Four datasets, Tamworth Emergency Department, Hospital Separations, Workers’ Compensation and the Australian Bureau of Statistics (ABS) Deaths data were used to provide information on the surveillance of farm injuries, describe the breadth of classifications used to describe farm injuries, and define priorities for the prevention of farm injuries. There were 384 farm-related injuries which presented to the Emergency Department at the Tamworth Base Hospital between 1 September 1997 and 31 August 1998. Emergency Department data collected in this study used the Farm Injury Optimal Dataset (FIOD) for classification, which allowed for a comprehensive picture of the circumstances surrounding the injury event. The three most common external causes of injury were related to horses, motorcycles, and animals. Commonly people were working at the time of injury. Children represented 21% of the people injured. The average number of injuries per 100 farms per annum was 34.7. An examination of hospital discharge data for NSW was undertaken for the period 1 July 1992 to 30 June 2000 where the location of the injury was a farm. Classification of cases in this dataset conformed to the International Classification of Disease (ICD) versions 9 and 10. There were 14,490 people who were injured on a farm during the study period. The three most common external causes of injury were motorcycles, animals being ridden and agricultural machinery. Children represented 17% of all farm injury cases. The rate per 1,000 farms ranged from 19 to 42 per annum. An examination of Workers’ Compensation claims for agricultural industries in NSW between 1 July 1992 and 30 June 2001 was undertaken. The ‘Type of Occurrence’ classification system was used to code the claims. There were 24,332 claims of which the majority were males (82%). The incidence of injury / disease in agriculture per annum varied from 37 per 1,000 workers to 73 per 1,000 workers. The rate per 1,000 agricultural establishments varied from 54 to 76. The average cost of a claim was $10,880 and the average time lost per claims was 9.2 weeks. There were 81 deaths and 3,158 permanent disabilities. The three most common agents were sheep / goats (5%), ferrous and non-ferrous metals (5%), crates / cartons / boxes / etc (5%). Using ABS deaths data to examine the deaths of people working and living on farms was limited to males whose occupation was recorded as ‘farmer and farm manager’ and ‘agricultural labourer and related worker’. There were 952 deaths over the period 1 January 1991 and 31 December 2000. The information provided a consistent series of cases over time. Areas where prevention should be directed included motor vehicle accidents; falls; agricultural machinery; other machinery; firearms; poisoning; and drowning. Using any one of the datasets alone to examine people injured on farms not only underestimates the number of people injured, but also misses particular types of agents involved in farm injuries. Each of the datasets used in this Thesis provides a different perspective of farm injury in NSW. By examining the information together, there are a number of areas which are consistently represented in each dataset such as falls and agricultural machinery. While no one dataset provided all the information that would be useful for the prevention of injuries, the available information does provide direction for the development of prevention strategies. The overall weakness of the information provided is that it misses a number of risk factors that contribute to farm injuries such as fatigue and training. The lack of appropriate denominator information also makes it difficult to directly compare the datasets and estimate the size of the problem. There are a number of additional coding categories that could be included in each dataset that would provide a better understanding of the different groups at risk of sustaining an injury on a farm or during agricultural work. These coding categories include activity at time of injury, admission to hospital, and occupation. An example of the use of data to determine the effectiveness of a farm injury prevention program is the ‘NSW Rollover Protective Structure (ROPS) Rebate Scheme’ evaluation. Tractor rollover deaths have been identified as an issue for prevention by Farmsafe Australia; however, such deaths were not identified in any of the datasets used in this Thesis due to coding limitations in the ABS data. In this Thesis information about the evaluation of the ‘NSW ROPS Rebate Scheme’ is presented. The scheme was successful in fitting 10,449 ROPS to tractors and the following lessons were learnt: when providing a rebate, the administration (i.e. sending the cheque) needs to be done well; advertising is important and should be co-ordinated, increase the awareness of the risk(s) the intervention is aiming to prevent and effectiveness of subsequent solution (s); the program should ensure there is an increased awareness of the outcome the intervention is aiming to prevent; if regulation is part of the program, enforcement needs to undertaken; and should address any barriers to uptake. The information provided in this Thesis highlights the substantial burden that farm injury places on the agricultural and rural sector of NSW. While there is no one data source that can describe the circumstances and the burden of farm injuries, the currently available datasets do provide an insight into the circumstances of farm injuries and the burden these injuries place on health, Workers’ Compensation, agricultural industries and farming families.

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9

Dantsoho, Abubakar Mahmud. "Risk-based framework for safety management of onshore tank farm operations". Thesis, Liverpool John Moores University, 2015. http://researchonline.ljmu.ac.uk/4496/.

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Abstract (sommario):

The onshore tank farm operations has become more useful and handy, as a result of increased international sea-borne trade, particularly, the unprecedented higher volume of petroleum products and hazardous chemicals traffic globally. The onshore tank farm is a facility used for safe discharge, loading and storage of petroleum products and other hazardous chemicals at the ports. It has become an important element in the supply chain system because of the increased universal energy demand and the fact that large number of modern tanker vessel is busy and efficiently moving cargo to different destinations around the world. The tank farm serves as a back-up facility to the ports. However, it has high degree of system-wide challenges of potential major incidents/accidents, as evidenced in various tank farm recorded accidents, which occurred at different times with estimated losses valued in millions of US dollars. The accidents could be catastrophic, leading to deaths, extensive damages and adverse impact on environment. To eliminate or minimize the risk of major incident/accidents, as well as minimize the magnitude and severity, it is acutely urgent to uncover and assess all potential hazards, with a view to adopt the best preventive/mitigative policy direction in the management of this strategic facility. This thesis presents multiple safety/risk assessment approaches, uncertainties treatments and decision making techniques that are capable of finding optimal solutions that will ensure safety of tank farm operations. The standard tools of analysis employed in this tank farm operational risk assessment are Failure Mode Effect Analysis (FMEA), Faulty Tree Analysis (FTA), fuzzy logic, Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). Firstly, the FMEA-Fuzzy Rule Based (FRB) is applied in Hazard Identification (HAZID) and risk evaluation of tank farm operations. The methodology is utilized to discover five possible causes of catastrophic accidents in tank farm operations. The causes/hazards are described as the automatic shut-down oil safety valve failure, pipe corrosion protection system failure, automatic tank gauge system failure, leak detection device system failure, and secondary containment monitoring system failure. In the risk assessment conducted, the leak detection system failure was identified as the riskiest hazard using the Expected Utility Theory. Consequent upon the need for further investigation, another technique, Fuzzy Fault Tree (FFT), as novel model is used successfully to investigate and understand the causes of the leak detection system failure. The main aim of these two exercises is to assess risks and facilitate proper manage of these risks in tank farm operations, in order to forestall accidents that could cause damage to the facility, workers and the port environment. Nevertheless, the tank farm operations need to be optimized by ensuring the efficiency and safety of all systems and sub-systems through the adoption of best safety management decisions, which is achieved by employing AHP-TOPSIS model. This method is used to solve a complex multi-criteria decision-making problem such as selection of best Safety Control Design (SCD) among various SCDs identified. Finally, the results produced from the developed models and frameworks are summarized and other areas where they can effectively make impacts in HAZID, risk assessment and safety improvement are defined.

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10

Pollock, Kirrily Suzanne. "The economic cost of farm-related fatalities and the perceptions and management of health and safety on Australiam farms". Thesis, The University of Sydney, 2010. http://hdl.handle.net/2123/7146.

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Farm-related fatalities are a significant problem in Australian agriculture. Over the period 2001–04, there were 404 fatalities that occurred as a direct consequence of visiting, residing or working on a farm. This research is comprised of two separate, but related components; the economic cost of farm-related fatalities and the farm health and safety study; a qualitative study into farmer perceptions and behaviour relating to farm safety. This study employed a human capital approach to establish the economic costs of farmrelated fatalities to the Australian economy. Fatalities were selected for analysis as they are the most reliable, accurate and comprehensive form of farm injury data available. A study was conducted on 335 farm enterprises to examine farmer perceptions and estimates of performance relating to the culture of safety and their systems and procedures to manage health and safety and major hazards on their farms. Finally, the changes farmers were making to health and safety on their farms, the motivating drivers for those changes, and what they perceived to be the risks and hazards on their farms were also assessed. Modelling of direct and indirect costs associated with farm-related fatalities estimated that the 404 traumatic deaths over the period 2001–04 cost the Australian economy $650.6 million, in 2008 dollars. This equates to 2.7 per cent of the 2008 farm gross domestic product (GDP) due to potentially preventable farm accidents and injuries. The top five agents causing death (tractors, ATVs, drownings, utilities and 2 wheel motorcycles) accounted for exactly half of the fatalities, and 46.7 per cent ($303.5 million) of the economic cost. Significant differences in gender, age and industry were revealed in attitudes and perceptions of farm safety and the management of health and safety and major hazards. Farm enterprises also provided a considerable level of detail on the changes and improvement they had made to farm safety, the reasons and motivations behind those changes, as well as details on what they perceived as the key risks and hazards on their farms. The outcomes of this research have questioned some of the preconceived ideas relating to farmers’ perceptions, attitudes and practices in relation to farm safety and have also identified potential new approaches and target populations for increasing adoption and implementation of farm safety recommendations. The challenge is for farm safety researchers, Farmsafe Australia, work safety authorities, industry and farmer groups and health practitioners to encourage further investment and resources into farm health and safety research, which will enable them to capitalise on these findings and re-evaluate farm safety strategies and initiatives to reduce the level of risk on Australian farms and therefore, the incidence of fatal and non-fatal injury and the cost of to the Australian economy.

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Più fonti

Libri sul tema "Farm safety"

1

Gaule, J. Farm safety. Dublin: Department of Agriculture and Fisheries, 1985.

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2

Henry, Michael. Farm safety handbook. [Dublin]: [Health and Safety Authority], 1994.

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3

Farm safety fun. Edmonton]: Alberta Agriculture, Food and Rural Development, 2004.

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4

Bellinger, Page Leroy. Farm & ranch safety management. 4^a ed. Moline, Ill: Deere & Co., 1994.

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5

Farm and ranch safety management. Albany: Delmar, 1995.

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6

Collender, Robert N. Farm Credit System safety and soundness. Washington, DC: U.S. Dept. of Agriculture, ERS, 1996.

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7

Collender, Robert N. Farm Credit System safety and soundness. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, 1996.

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8

Alberta. Alberta Farm Equipment Manufacturers' Safety Program. Alberta Farm Equipment Manufacturers' Safety Program. Alberta]: The Program, 1989.

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9

Police, Illinois State. FARM: Fewer Accidents with Reflective Material. Springfield, Ill.]: Illinois State Police, 2000.

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10

Alvarez, Michael. Farm labor contractor safety and health guide. [Sacramento, Calif.]: Dept. of Industrial Relations, Cal/OSHA Consultation, Education and Training Unit, 1998.

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Capitoli di libri sul tema "Farm safety"

1

Burgus, Shari. "Family Farm Seminars". In Agricultural Health and Safety: Recent Advances, 335–41. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003248958-46.

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2

Lockinger, Lori, Tim Hillier, Louise Hagel, Yue Chen, Helen McDuffie e James Dosman. "Farm Response: An Accident Preparedness Course for Farm Families". In Agricultural Health and Safety: Recent Advances, 387–90. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003248958-54.

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3

Roncada, Paola, Alessio Soggiu, Cristian Piras e Luigi Bonizzi. "Microbial proteomics in food safety and animal welfare". In Farm animal proteomics 2013, 38–39. Wageningen: Wageningen Academic Publishers, 2013. http://dx.doi.org/10.3920/978-90-8686-776-9_12.

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4

Lovera, Patty. "Textbox: The Farm Bill". In International Farm Animal, Wildlife and Food Safety Law, 395–402. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-18002-1_12.

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5

Soggiu, Alessio, Emoke Bendixen, Milena Brasca, Stefano Morandi, Cristian Piras, Luigi Bonizzi e Paola Roncada. "Milk and cheese microbiome for safety and quality of dairy products". In Farm animal proteomics 2013, 262–65. Wageningen: Wageningen Academic Publishers, 2013. http://dx.doi.org/10.3920/978-90-8686-776-9_66.

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6

Bollard, Lewis. "Live Export of Farm Animals". In International Farm Animal, Wildlife and Food Safety Law, 243–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-18002-1_8.

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7

Couvillion, Leslie. "Zoonotic Diseases and Food Safety". In International Farm Animal, Wildlife and Food Safety Law, 631–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-18002-1_22.

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8

Reis, Theresa J., e Pamela D. Elkind. "Influences on Farm Safety Practice in Eastern Washington". In Agricultural Health and Safety: Recent Advances, 193–205. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003248958-29.

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9

Abend, Ellen L., e Eric M. Hallman. "Strategies for Effective On-Farm Hazard Surveillance Visits". In Agricultural Health and Safety: Recent Advances, 47–53. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003248958-9.

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10

Toland, Gerald D., William E. Nganje e Raphael Onyeaghala. "Analyzing economic consequences of farm safety net programs in the 2014 Farm Bill". In US Agricultural and Food Policies, 110–51. Abingdon, Oxon ; New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315459530-4.

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Atti di convegni sul tema "Farm safety"

1

James J Carrabba Jr, Sharon M Scofield e John J May. "On-Farm Safety Program". In 2007 Minneapolis, Minnesota, June 17-20, 2007. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23284.

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2

Brumby, Susan, Jacquie Cotton e Amity Latham. "255 Measuring farm safety culture: farm safety checklists don’t pass the test". In 14th World Conference on Injury Prevention and Safety Promotion (Safety 2022) abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/injuryprev-2022-safety2022.117.

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3

Plastina, Alejandro. "New Farm Bill, new safety net". In Proceedings of the 24th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2014. http://dx.doi.org/10.31274/icm-180809-138.

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4

Browning, S., H. Truszczynska, R. McKnight e D. Reed. "321. Hazard Surveillance of Farm Tractor Safety Features". In AIHce 1997 - Taking Responsibility...Building Tomorrow's Profession Papers. AIHA, 1999. http://dx.doi.org/10.3320/1.2765459.

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5

Riley, Timothy. "Scaled Wind Farm Technology (SWiFT) Facility Safety Programs." In Proposed for presentation at the NM ASSP 45th Annual PDC held April 12-14, 2021 in Virtual, Virtual. US DOE, 2021. http://dx.doi.org/10.2172/1863855.

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6

Parker, Sarah, Andrijana Rajic e C. Dewey. "Food safety on the farm- a survey of Saskatchewan swine producers for their food safety knowledge and farm management practices". In Eighth International Symposium on the Epidemiology and Control of Foodborne Pathogens in Pork. Iowa State University, Digital Press, 2009. http://dx.doi.org/10.31274/safepork-180809-849.

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7

Hayman, Jane. "176 Causes of admitted farm injuries among those aged 60+ years, Victoria". In 14th World Conference on Injury Prevention and Safety Promotion (Safety 2022) abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/injuryprev-2022-safety2022.81.

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8

Adams, Jessie, Susan Brumby, Alison Kennedy e Jacquie Cotton. "342 Asking the right questions—understanding child farm-related injury and death". In 14th World Conference on Injury Prevention and Safety Promotion (Safety 2022) abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/injuryprev-2022-safety2022.155.

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Gopianath, S. "Navigational & Safety Assessment of Wind Farm Support Vessels". In Design & Operation of Wind Farm Support Vessels 2015. RINA, 2015. http://dx.doi.org/10.3940/rina.wfv.2015.11.

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10

Kim, K., D. Choi, H. Chae, H. Kim, K. Kim e K. Lee. "1264 Community-based farm safety intervention in south korea". In 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.56.

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Rapporti di organizzazioni sul tema "Farm safety"

1

Mondak, Chris. Dairy Farm Safety Project. Ames (Iowa): Iowa State University, gennaio 2010. http://dx.doi.org/10.31274/ans_air-180814-835.

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2

Houlbrook, Nicholas. Tank Farm Safety Programmable System Software Management Plan. Office of Scientific and Technical Information (OSTI), settembre 2018. http://dx.doi.org/10.2172/1475170.

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3

Mickle, G. D. Tank farm health and safety plan. Revision 2. Office of Scientific and Technical Information (OSTI), marzo 1995. http://dx.doi.org/10.2172/53695.

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4

Brinkerhoff, L. C. Technical safety appraisal of the Hanford Tank Farm Facility. Office of Scientific and Technical Information (OSTI), maggio 1989. http://dx.doi.org/10.2172/6238220.

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5

Boyer, Renee. Enhancing The Safety of Locally Grown Produce: On the Farm. Blacksburg, VA: Virginia Cooperative Extension, agosto 2019. http://dx.doi.org/10.21061/fst-36np_fst-333np.

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6

Chamberlin, Holly Colleen, Jonathan White e Timothy Stirrup. Scaled Wind Farm Technology (SWiFT) Facility (Safety Assessment, Rev. 0). Office of Scientific and Technical Information (OSTI), luglio 2017. http://dx.doi.org/10.2172/1527316.

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7

JANICEK, G. P. Sub system & component level safety classification evaluation & identification for tank farm safety systems. Office of Scientific and Technical Information (OSTI), ottobre 2001. http://dx.doi.org/10.2172/807460.

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8

Boyer, Renee. Enhancing The Safety of Locally Grown Produce: Farm Self-Help Form. Blacksburg, VA: Virginia Cooperative Extension, agosto 2019. http://dx.doi.org/10.21061/fst-35np_fst-332np.

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9

Boos, K. A. System Safety Program Plan for Project W-314, tank farm restoration and safe operations. Office of Scientific and Technical Information (OSTI), gennaio 1996. http://dx.doi.org/10.2172/472893.

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Blanchard, A. Safety Evaluation of Receipt of ORNL U-233 at SRS Tank Farm. Office of Scientific and Technical Information (OSTI), ottobre 2000. http://dx.doi.org/10.2172/765600.

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