Relevant bibliographies by topics / Farm machinery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Farm machinery'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 May 2022

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Journal articles on the topic "Farm machinery"

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Paman, Ujang, Khairizal Khairizal, and Hajry Arief Wahyudy. "KEBUTUHAN MESIN PERTANIAN DAN TENAGA UNTUK MEKANISASI USAHATANI PADI SKALA KECIL DI KABUPATEN KAMPAR, PROVINSI RIAU." DINAMIKA PERTANIAN 33, no. 2 (September 24, 2019): 129–36. http://dx.doi.org/10.25299/dp.2017.vol33(2).3825.

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Farm machinery is one of the important power sources to carry out farm operations today. The availability of farm power in adequate number is prerequisites for providing enough power in perform rice farming operation. This paper attempts to evaluate the farm machinery and power requirement for performing operations of small-scale rice farming in Kampar Regency, Riau Province. Data were obtained from field survey in 15 districts from 21 districts of Kampar Regency. Village surveys were chose for each selected district which are rice production center and farm machines have been used in working rice farm operations. Samples were purposively selected and consisted of 30 farmers, 5 extension staffs and 20 machine operators. They were interviewed to collect field data on September 2015 by using questionnaires. The results show that the number of farm machinery was not sufficient to fulfill requirement and provide enough power for farm operations. From farm machinery available, it provided power about 0.61 hp.ha-1, while minimum power required for efficient rice farming is about 0.8 hp.ha-1. The results suggest that the number and type of farm machinery must be increased with financial support and involve private sectors.
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Ismail, Ujang Paman, Khairizal Khairizal, and Hajry Arief Wahyudy. "KEBUTUHAN MESIN PERTANIAN DAN TENAGA UNTUK MEKANISASI USAHATANI PADI SKALA KECIL DI KABUPATEN KAMPAR, PROVINSI RIAU." DINAMIKA PERTANIAN 33, no. 2 (November 1, 2017): 11. http://dx.doi.org/10.25299/dp.2017.vol33(2).813.

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Farm machinery is one of the important power sources to carry out farm operations today. The availability of farm power in adequate number is prerequisites for providing enough power in perform rice farming operation. This paper attempts to evaluate the farm machinery and power requirement for performing operations of small-scale rice farming in Kampar Regency, Riau Province. Data were obtained from field survey in 15 districts from 21 districts of Kampar Regency. Village surveys were chose for each selected district which are rice production center and farm machines have been used in working rice farm operations. Samples were purposively selected and consisted of 30 farmers, 5 extension staffs and 20 machine operators. They were interviewed to collect field data on September 2015 by using questionnaires. The results show that the number of farm machinery was not sufficient to fulfill requirement and provide enough power for farm operations. From farm machinery available, it provided power about 0.61 hp.ha-1, while minimum power required for efficient rice farming is about 0.8 hp.ha-1. The results suggest that the number and type of farm machinery must be increased with financial support and involve private sectors.
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Cox, S. W. R. "Farm machinery (12th edition)." Computers and Electronics in Agriculture 9, no. 2 (September 1993): 189. http://dx.doi.org/10.1016/0168-1699(93)90007-n.

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Ma, Wanglin, Alan Renwick, and Quentin Grafton. "Farm machinery use, off-farm employment and farm performance in China." Australian Journal of Agricultural and Resource Economics 62, no. 2 (March 22, 2018): 279–98. http://dx.doi.org/10.1111/1467-8489.12249.

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Fountas, S., C. G. Sorensen, Z. Tsiropoulos, C. Cavalaris, V. Liakos, and T. Gemtos. "Farm machinery management information system." Computers and Electronics in Agriculture 110 (January 2015): 131–38. http://dx.doi.org/10.1016/j.compag.2014.11.011.

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Waleed, Muhammad, Tai-Won Um, Tariq Kamal, and Syed Muhammad Usman. "Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things." Symmetry 13, no. 3 (March 1, 2021): 403. http://dx.doi.org/10.3390/sym13030403.

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In this paper, we apply the multi-class supervised machine learning techniques for classifying the agriculture farm machinery. The classification of farm machinery is important when performing the automatic authentication of field activity in a remote setup. In the absence of a sound machine recognition system, there is every possibility of a fraudulent activity taking place. To address this need, we classify the machinery using five machine learning techniques—K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and Gradient Boosting (GB). For training of the model, we use the vibration and tilt of machinery. The vibration and tilt of machinery are recorded using the accelerometer and gyroscope sensors, respectively. The machinery included the leveler, rotavator and cultivator. The preliminary analysis on the collected data revealed that the farm machinery (when in operation) showed big variations in vibration and tilt, but observed similar means. Additionally, the accuracies of vibration-based and tilt-based classifications of farm machinery show good accuracy when used alone (with vibration showing slightly better numbers than the tilt). However, the accuracies improve further when both (the tilt and vibration) are used together. Furthermore, all five machine learning algorithms used for classification have an accuracy of more than 82%, but random forest was the best performing. The gradient boosting and random forest show slight over-fitting (about 9%), but both algorithms produce high testing accuracy. In terms of execution time, the decision tree takes the least time to train, while the gradient boosting takes the most time.
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Zhang, Fan, Gui Fa Teng, Jian Bin Ma, and Jie Yao. "Research on Multitask Collaborative Scheduling Problem with Heuristic Strategies." Applied Mechanics and Materials 66-68 (July 2011): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.758.

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According to problems existed in the current farm machinery scheduling process, a new farm machinery scheduling scheme is adopted in this dissertation. The collaborative scheduling model of farm machinery is established and multitask collaborative scheduling algorithm is designed through analyzing the differences between Vehicle Scheduling Problem and agricultural machinery scheduling in the dissertation. Earliest Start Time First and minimal resource allocated capacity first strategies are used in the farm machinery scheduling. The algorithm is useful for the case of machinery owner with sufficient farm machinery. The experiment proves that the collaborative scheduling algorithm is more effective than the serial scheduling algorithm.
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Ma, Wan Min, and Wan Zheng Ma. "Research on Supervision Current Situation and Countermeasures of Agricultural Modernization in China." Advanced Materials Research 860-863 (December 2013): 3104–7. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.3104.

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Agricultural machinery production safety work is the work of national security, an important part of the production. Based on summarizing the research status of farm machinery safety supervision, this paper analysis the main problems of farm machinery safety supervision ,combining with the actual farm machinery safety supervision we propose improvement measures ,we focus on technology innovation to improve service farm machinery safety supervision level, to promote the cause of farm machinery safety supervision development, to improve agricultural production safety, We should be better for farmers to get rich, agricultural development and social harmony and stability in rural areas to provide security services.
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Kinga, N., and W. Chetem. "An Economic Analysis Of Government Custom Hiring Services For Different Farm Machineries In Bhutan." SAARC Journal of Agriculture 17, no. 2 (February 3, 2020): 93–101. http://dx.doi.org/10.3329/sja.v17i2.45297.

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Farmers in Bhutan trend to own agricultural machineries though the individual area under farm mechanization is not enough. Hiring out or in of farm machineries as a business enterprise need to be advocated. Therefore, an effort was made in this study to generate some parameters regarding farm machinery business at farm level based on practical experience. Bhutanese Government has endorsed some users’ parameters including cost and return which are used to guide the custom rates for different machineries for farmers and service providers. The study’s objective was to generate different empirical formula for different farm machineries which shall help to propose varying custom hiring rates based on the projected operation days based on the government endorsed parameters. It is also to ascertain whether the present rates charged by Farm Machinery Corporation Limited bring a positive return to its custom hiring business for different machines. The study revealed that the operation cost of farm machinery includes both fixed cost and variable cost. Cost, return and break-even data for different farm machineries give a confident opinion for the owners and Farm Machinery Corporation Limited (FMCL) to take up the hiring scheme as a profitable business. The custom hiring rate also gives a good guide on the custom hiring rates to be charged based on the operating days in the country. On endorsed hiring rates and parameters by government, FMCL shall be able to make a huge profit annually especially on tractors and mini combine harvesters as compared to other machineries by Nu 0.51M and 0.39 M respectively. All other machines are also making a profit annually under the government endorsed parameters. However, there is also an opportunity to reduce the custom rates to bring down the overall cost of cultivation of respective crops using the machines. SAARC J. Agri., 17(2): 93-101 (2019)
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ALSUHAIBANI, SALEH A. "Farm Machinery Breakdown Classification – Seed drills." JOURNAL OF ADVANCES IN AGRICULTURE 6, no. 1 (April 30, 2016): 813–21. http://dx.doi.org/10.24297/jaa.v6i1.5389.

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Work job orders for 196 seed drills collected by HADCO (Hail Agricultural Development Company), Saudi Arabia, were used in this study. The work job orders were classified in terms of the parts used and the cost of each item. Distribution of repair and maintenance as listed in the work-job orders was classified as repairs by 55% while 45% was found to be maintenance. Moreover, Classification of repair and maintenance for parts of seed drills was 66% for rapair jobs and 34% for manitinance jobs. Cost ratio term was developed, by dividing the repair or maintenance cost by the seed drill purchase price. The results indicate that the average cost ratio was affected by annual working area. Also repair and maintenance cost decreased as increasing the number of seed drills every year, and due to the increasing number of working area, the costs increased after about 430 ha/year.
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Dissertations / Theses on the topic "Farm machinery"

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Elshami, Omar Mohd Eltom. "A management information system for farm machinery management." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240836.

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Saadoun, Tahar. "Agricultural machinery selection and scheduling of farm operations." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/27322.

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The procedure of calculating annual machinery ownership costs from the discounted cash flows of the mortgaged capital cost, the repair and insurance charges and the resale income is extended to include the effect of loan rate and loan period on interest charges, the effect of capital allowances taking account of the actual balancing charges at the end of the period of ownership, and the effect of tax relief on the interest charges, repair costs and insurance premiums. The concept of marginal holding cost is applied to determine the optimum ownership period. The selection of tractor- plough combinations is based on the prediction of soil characteristics such as moisture content, strength, and workability, all of which influencing the assessment of plough draught and tractor power. A number of filters are used to select the appropriate and realistic tractor /implement combinations with different sizes of fully mounted plough depending on the draught, and the speed of each selected gear of the tractor. For each acceptable combina- tion of tractor and fully mounted plough determined, the costing routine is used to calculate the annual costs. The branch and bound algorithm is suitable for mixed integer solutions to the farm machinery selection problem. Machinery sets are selected simultaneously with the chosen cropping pattern on a given land area. Machinery sets are matched correctly to the tractor sizes. Four sizes of tractor are available (45 kW, 61 kW, 74 kW and 94 kW,. Field operations take place in discrete time periods during which available work days are predicted from soil type and weather records for the specific site. Cereal and root crops are distinguished by optimum sowing and harvesting date. Discrete time periods are defined in relation to these optimal dates and give rise to overlapping operations for different crops. The calculation of probability levels for available work days when operations are subject to different criteria is discussed. A single arbitrary value of 75% probability for available work days is adopted in the linear programming model for the main part of the study. Two stage processes are used to simulate available work days in each time period. The patterns generated converge on the relative frequency pattern laid down by the generating process. The range of experience is wider than that contained in the short series of 24 years historical data. The simulation model generates results suitable for stochastic dominance ranking. In a simulation experiment on a 250 ha arable farm cropping cereals and potatoes, alternative solutions are obtained by integer linear programming, the solutions being ranked according to gross revenue. Annual costs of operating farm machinery are derived from a separate costing algorithm based on the annual hours of use which are determined by the size of the task and not by the sequence of work days. After deducting the annual costs of machinery operation, the cumulative net revenue curves cross and second order stochastic dominance ranking is used to identify the optimum (maximum profit) solution. The current study demonstrates the viability of the analytical procedures but further work is now required to reduce the computing time involved for the complete machinery selection procedure. Meanwhile, a commercial software package is prepared on the calculation of annual machinery ownership costs.
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Bell, Paul Kevin Thomas. "The estimation of economic depreciation for Canadian farm machinery." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24475.

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The objective of this thesis was to estimate the rate at which four types of farm machinery lose value in Canada. Specifically, Canadian data on used machinery prices was utilized to produce estimates of economic depreciation for two-wheel-drive tractors, combines, square balers and large round balers. The data used in this thesis to make these estimates are special for two reasons. First of all, they represent the only extensive record of Canadian used farm equipment prices available. Most previous studies have based their estimates on American data, assuming that they apply equally well to the Canadian situation. Secondly, these data record actual transactions in the used market and these transactions have been reported in an unaveraged format. This is valuable because information on options, horsepower, condition, and, most importantly, hours of use was retained for each machine. The availability of this information permitted richer and more specific estimates of depreciation. In particular, the inclusion of hours of use in the models enabled a distinction to be made in this thesis between the component of depreciation which is directly attributable to age and that component which is directly attributable to accumulated hours of use. It is felt that this distinction provides a beginning point for the study of depreciation due to simple "wear and tear", and that depreciation which is due to obsolescence and technological change. As well, this thesis extensively reviewed the literature on depreciation in an effort to determine the best approach to follow. The method finally adopted was the "remaining value approach"; however, the thesis went further than the typical remaining value approach because an attempt was made to estimate the pattern as well as the rate of depreciation. This was done by initially adopting a functional form which was flexible enough to let the data "choose for themselves" between the commonly used depreciation rules of thumb (declining balance, straight-line and one-hoss-shay patterns). This was possible by using the Box-Tidwell procedure. This Box-Tidwell procedure when applied to the extensive tractor data indicated that tractors in Canada follow a declining balance (geometric) pattern of depreciation. This was taken as support for the adoption of semi-log models to estimate depreciation. The main findings of this thesis are, first, that depreciation rates vary among assets (from approximately 9% for tractors to nearly 16% for large round balers), and, secondly, that these rates are less than those allowed by the government for tax purposes. It was concluded that this generosity on the part of the government would be acceptable if it applied equally to all depreciable assets, but the divergence in depreciation rates found in this thesis indicate that generous blanket depreciation charges give more advantage to some than to others.
Land and Food Systems, Faculty of
Graduate
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Yule, Ian J. "A decision support system for farm machinery budgeting and selection." Thesis, University of Newcastle Upon Tyne, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242352.

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Nagaoka, Alberto Kazushi [UNESP]. "Desenvolvimento e avaliação do desempenho de um equipamento para ensaio dinâmico de rodado agrícola individual." Universidade Estadual Paulista (UNESP), 2001. http://hdl.handle.net/11449/101930.

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Made available in DSpace on 2014-06-11T19:31:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-02-05Bitstream added on 2014-06-13T20:22:38Z : No. of bitstreams: 1 nagaoka_ak_dr_botfca.pdf: 2279820 bytes, checksum: 149eef5c845342281d3c5d15503e3456 (MD5)
O principal objetivo deste trabalho foi desenvolver, instrumentar e avaliar o desempenho de um equipamento para ensaio de pneus agrícolas acoplado a um trator, acionado pela sua tomada de potência, com a finalidade de ensaiar dinâmica e individualmente pneus em condição de campo e avaliar o efeito da passagem do pneu no solo. O equipamento foi desenvolvido no Núcleo de Ensaios de Máquinas e Pneus Agrícolas (NEMPA), pertencente ao Departamento de Engenharia Rural da Faculdade de Ciências Agronômicas da Universidade Estadual Paulista (UNESP), situado no município de Botucatu. Os dados obtidos nas calibrações e nos ensaios foram ajustados pelo método de regressão e os dados do experimento foram analisados considerando-se o delineamento experimental em blocos, no esquema de parcelas subdivididas, tendo nas parcelas os pneus e nas subparcelas as cargas, com cinco repetições. Os valores de índice de cone do solo foram analisados considerando-se o delineamento experimental em blocos, no esquema de parcelas subsubdivididas, e tendo na parcela os pneus, na subparcela as cargas e na subsubparcela as camadas, com cinco repetições. Os resultados do experimento foram interpretados estatisticamente, por meio da análise de variância, adotando-se o nível de significância de 5% e pelo teste de comparação de médias de Tukey. Foram realizados ensaios com variações de velocidades de 0 a 14 km/h, patinagens de 3% a 34%, diâmetros de pneus de 1250 mm a 1722 mm, larguras de pneus de 500 mm a 602 mm e cargas verticais de 5.000 N a 24.000 N. Para estes valores não foram observados danos ao equipamento. O comprimento mais adequado da parcela para os ensaios de campo foi de 20m com freqüência de aquisição de 1Hz. O equipamento permitiu avaliar o desempenho dinâmico de pneus, em condições de solo agrícola, pista asfáltica e comparar diferentes tipos de pneus...
The main objective of this research was to develop, to instrument and to evaluate the performance of a Single Wheel Testing Equipment, linked to a tractor and motioned by the power take off (PTO) with the purpose of dynamically testing individual tires in field and laboratory conditions. The equipment was developed in Agricultural Machinery and Tire Testing Center (NEMPA), Rural Engineering Department of Agronomic Science College, São Paulo State University (UNESP), Botucatu County. The obtained calibration and test data were adjusted using regression method and the experiment data were analyzed considering an experimental design in split plot blocks, with the tire in the parcels and the load tire in the subparcels, with five repetitions. The cone index values were analyzed considering the same experimental design, with the tire in the parcels, the tire load in the subparcels, and the soil layers in the subsubparcels, with five repetitions. The experiment results were statistically interpreted by means of variance analysis, adopting 5% of significance level and using Tukey average test comparison. The tests were realized varying the forward speed from 0 to 14 km/h, the slip from 3% to 34 %, the tire diameter from 1,250 mm to 1,722 mm, the tire width from 500 mm to 602 mm, and the tire loads from 5,000 to 24,000 N. The device worked very well and it was not observed damages or failures for all tested situations. The most adequate parcel length obtained on the field tests was 20 m, using the acquisition frequency of 1 Hz. The equipment permitted to evaluate tire dynamic performance on agricultural field conditions, asphalt track and to compare different tire types as a function of inflation pressure, slip, rolling radius, and tire load. The equipment evaluated individuality the tested tire and have an eletronic date colect system, providing agility and practicity in the tests...(Complete abstract, click electronic access below)
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Faller, Douglas. "Degradation of farm work and resistance to deskilling in the Canadian prairies, the case of farm machinery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0010/MQ35834.pdf.

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Worley, Stacy K. "Bearing failure detection in farm machinery using low-cost acoustic techniques." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06302009-040529/.

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Nagaoka, Alberto Kazushi. "Desenvolvimento e avaliação do desempenho de um equipamento para ensaio dinâmico de rodado agrícola individual /." Botucatu : [s.n.], 2001. http://hdl.handle.net/11449/101930.

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Orientador: Kléber Pereira Lanças
Banca: Ulisses Rocha Antuniassi
Banca: João Eduardo Guarnetti Santos
Banca: Marcos Milan
Banca: Haroldo Carlos Fernandes
Resumo: O principal objetivo deste trabalho foi desenvolver, instrumentar e avaliar o desempenho de um equipamento para ensaio de pneus agrícolas acoplado a um trator, acionado pela sua tomada de potência, com a finalidade de ensaiar dinâmica e individualmente pneus em condição de campo e avaliar o efeito da passagem do pneu no solo. O equipamento foi desenvolvido no Núcleo de Ensaios de Máquinas e Pneus Agrícolas (NEMPA), pertencente ao Departamento de Engenharia Rural da Faculdade de Ciências Agronômicas da Universidade Estadual Paulista (UNESP), situado no município de Botucatu. Os dados obtidos nas calibrações e nos ensaios foram ajustados pelo método de regressão e os dados do experimento foram analisados considerando-se o delineamento experimental em blocos, no esquema de parcelas subdivididas, tendo nas parcelas os pneus e nas subparcelas as cargas, com cinco repetições. Os valores de índice de cone do solo foram analisados considerando-se o delineamento experimental em blocos, no esquema de parcelas subsubdivididas, e tendo na parcela os pneus, na subparcela as cargas e na subsubparcela as camadas, com cinco repetições. Os resultados do experimento foram interpretados estatisticamente, por meio da análise de variância, adotando-se o nível de significância de 5% e pelo teste de comparação de médias de Tukey. Foram realizados ensaios com variações de velocidades de 0 a 14 km/h, patinagens de 3% a 34%, diâmetros de pneus de 1250 mm a 1722 mm, larguras de pneus de 500 mm a 602 mm e cargas verticais de 5.000 N a 24.000 N. Para estes valores não foram observados danos ao equipamento. O comprimento mais adequado da parcela para os ensaios de campo foi de 20m com freqüência de aquisição de 1Hz. O equipamento permitiu avaliar o desempenho dinâmico de pneus, em condições de solo agrícola, pista asfáltica e comparar diferentes tipos de pneus...(Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The main objective of this research was to develop, to instrument and to evaluate the performance of a Single Wheel Testing Equipment, linked to a tractor and motioned by the power take off (PTO) with the purpose of dynamically testing individual tires in field and laboratory conditions. The equipment was developed in Agricultural Machinery and Tire Testing Center (NEMPA), Rural Engineering Department of Agronomic Science College, São Paulo State University (UNESP), Botucatu County. The obtained calibration and test data were adjusted using regression method and the experiment data were analyzed considering an experimental design in split plot blocks, with the tire in the parcels and the load tire in the subparcels, with five repetitions. The cone index values were analyzed considering the same experimental design, with the tire in the parcels, the tire load in the subparcels, and the soil layers in the subsubparcels, with five repetitions. The experiment results were statistically interpreted by means of variance analysis, adopting 5% of significance level and using Tukey average test comparison. The tests were realized varying the forward speed from 0 to 14 km/h, the slip from 3% to 34 %, the tire diameter from 1,250 mm to 1,722 mm, the tire width from 500 mm to 602 mm, and the tire loads from 5,000 to 24,000 N. The device worked very well and it was not observed damages or failures for all tested situations. The most adequate parcel length obtained on the field tests was 20 m, using the acquisition frequency of 1 Hz. The equipment permitted to evaluate tire dynamic performance on agricultural field conditions, asphalt track and to compare different tire types as a function of inflation pressure, slip, rolling radius, and tire load. The equipment evaluated individuality the tested tire and have an eletronic date colect system, providing agility and practicity in the tests...(Complete abstract, click electronic access below)
Doutor
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Lindgren, Magnus. "Engine exhaust gas emissions from non-road mobile machinery : effects of transient load conditions /." Uppsala : Dept. of Biometry and Engineering, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/a481.pdf.

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Smith, Benjamin. "Factors affecting the annual unit sales volume of combines in the United States." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/35264.

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Master of Agribusiness
Department of Agricultural Economics
Allen M. Featherstone
In the United States, accurately predicting the agricultural industry’s future demand for new farm machinery is a complicated, challenging and ever-changing issue. To compound the matter; as the size of large farm machinery continues to increase, the annualized sales volume is decreasing over time. This thesis also finds that recent mandates applicable to the Environmental Protection Agency (EPA) diesel engine emission compliance and the Internal Revenue Service (IRS) Section 179 tax code may help with forecasting the demand for farm machinery on an annual basis. This thesis evaluates factors that affect the annual unit demand of combines in the United States. Due to the lack of published literature on this specific topic, a survey of John Deere dealership sales professionals who have had recent experience selling new combines to farmers was used. This perspective brings to light factors that impact industry demand for new combines. This study results in an empirical regression model with independent variables based on the survey results. A thorough understanding of the independent variables can aid in predicting the future demand for combines. This work indicates that forty years of historical data proves to provide enough variability such that statistically significant variables are identified to accurately predict future sales. Statistically significant factors that affect the annual unit sales volume of combines in the United States include: Interest Rate, Net Cash Income, IRS Section 179 Tax Code, Planted Acres and Combine Capacity. Future industry demand is predicted by applying forecasted estimates to the model’s applicable independent variables.
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Books on the topic "Farm machinery"

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Bell, Brian J. Farm machinery. 3rd ed. Ipswich: Farming Press, 1989.

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Farm machinery. Oxford: BSP Professional, 1992.

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Culpin, C. Farm machinery. London: Collins, 1986.

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Hansen, Ann Larkin. Farm machinery. Minneapolis, Minn: Abdo & Daughters Pub., 1996.

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Farm machinery. London: Collins, 1986.

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Stephen, R. J. Farm machinery. London: F. Watts, 1986.

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Culpin, Claude. Farm machinery. Oxford: BSP Professional Books, 1987.

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Culpin, Claude. Farm machinery. Oxford, England: Blackwell Scientific, 1992.

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David, West. Farm machinery. Mankato, Minnesota: Smart Apple Media, 2015.

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Corporation, British Broadcasting. Farm machinery. Princeton, N.J: Films for the Humanities & Sciences, 1991.

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Book chapters on the topic "Farm machinery"

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Reddy, P. Parvatha. "Efficient Use of Farm Machinery." In Sustainable Intensification of Crop Production, 339–53. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2702-4_22.

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Lohan, Shiv Kumar, and Mahesh Kumar Narang. "Farm Machinery for Conservation Agriculture." In Agricultural Impacts of Climate Change, 285–98. Boca Raton : CRC Press, 2019-: CRC Press, 2019. http://dx.doi.org/10.1201/9780429326349-16.

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Mkomwa, S., P. Kaumbutho, and P. Makungu. "Farm Machinery for Conservation Agriculture." In Conservation Agriculture, 109–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11620-4_5.

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Garrido Izard, Miguel. "Telemetry and farm fleet management." In Manuali – Scienze Tecnologiche, 31. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.31.

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Nowadays farm machinery is incorporating new subsystems for the interchange of data between different mobile equipment and also with the base office. Such systems allow to know in real time basic information about how tasks are being performed in the field (where each tractor and machine is located, surface coverage, dose applied, fuel usage, etc. ) but also allow proper synchronization between machines working together (such a combine and a set of supporting trucks). The analysis and management of this information is important for the optimization of field tasks.
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Heege, Hermann J. "Precision in Guidance of Farm Machinery." In Precision in Crop Farming, 35–50. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6760-7_4.

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Kumar, Rohitashw, and Vijay P. Singh. "Application of Plastic in Farm Machinery." In Plasticulture Engineering and Technology, 357–78. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003273974-18.

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Vieri, Marco, Daniele Sarri, Stefania Lombardo, Marco Rimediotti, Riccardo Lisci, Valentina De Pascale, Eleonora Salvini, Carolina Perna, and Andrea Pagliai. "Tech innovation systems in agriculture." In Manuali – Scienze Tecnologiche, 4. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.04.

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The technological models related to farm machinery have had a different evolution in relation to structural and social conditions. Thus we have the American - Western model, capital intensive, with large machines and at the opposite the Asian model, labor intensive, with small and sophisticated machines suitable for small and family farms. Even if, in the large scale machinery, the implementation of new technologies requires less investment in percentage, all farm technical management system may have advantages by the new technology: a) measuring parameters and processes, b) assessing data by informatics models giving information optimization c) availabilit6y of tools to manage the single specific resource. That is Precision Farming.
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Arogundade, Oluwasefunmi, Rauf Qudus, Adebayo Abayomi-Alli, Sanjay Misra, JohnBosco Agbaegbu, Adio Akinwale, and Ravin Ahuja. "A Mobile-Based Farm Machinery Hiring System." In Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, 213–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0733-2_15.

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Nag, P. K., and L. P. Gite. "Ergo-Design Criteria for Farm Tools and Machinery." In Design Science and Innovation, 275–99. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7269-2_11.

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Singh, Sukhpal. "Farm Machinery Rental Services: Case Studies from Punjab." In Institutional Innovations in the Delivery of Farm Services in India, 33–70. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3753-2_3.

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Conference papers on the topic "Farm machinery"

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Quick, Graeme R., and Tom Schleffer. "Farm Machinery Costs: Profitable Options." In Proceedings of the 10th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 1998. http://dx.doi.org/10.31274/icm-180809-618.

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Purschwitz, Mark A. "Biomedical Implications for Farm Machinery Design." In International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1994. http://dx.doi.org/10.4271/941729.

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"Farm Machinery and Processes Management in Sustainable Agriculture." In Farm Machinery and Processes Management in Sustainable Agriculture. IN-W Spatium, 2019. http://dx.doi.org/10.24326/fmpmsa.2019.1.1.

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Ding, Xueying. "Optimization Model of Wind Farm." In 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/msmee-17.2017.202.

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Olson, G. M., and R. R. Johnson. "The Impact of Conservation Tillage on Farm Machinery Design." In 37th Annual Earthmoving Industry Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1986. http://dx.doi.org/10.4271/860742.

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Taylor, Brendan, Gourab Sen Gupta, and Ken Mercer. "Flexible architecture to automate farm machinery operation: Preliminary results." In 2016 IEEE Sensors Applications Symposium (SAS). IEEE, 2016. http://dx.doi.org/10.1109/sas.2016.7479879.

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"Uncertainty of Influence Factors for Farm Machinery Operation Scheduling." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152189856.

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Ksenevich, I. P., and V. A. Trofimov. "Automation of Mobile Farm Machinery and Problems of Environmental Protection." In International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/911754.

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Xiyin Gao, Haijun Yang, Pengyun Xu, Qian Wang, and Ying Zheng. "The research of Computer Aided Ergonomics analysis in farm machinery." In Conceptual Design (CAID/CD). IEEE, 2008. http://dx.doi.org/10.1109/caidcd.2008.4730544.

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Ma, Jie. "Evaluation model of wind energy resources and utilization efficiency of wind farm." In ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II: Proceedings of the 2nd International Conference on Advances in Materials, Machinery, Electronics (AMME 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5033752.

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Reports on the topic "Farm machinery"

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Bhattarai, Madhusudan, Gajendra Singh, Hiroyuki Takeshima, and Ravindra S. Shekhawat. Farm machinery use and the agricultural machinery industries in India: Status, evolution, implications, and lessons learned. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293809_03.

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Research Institute (IFPRI), International Food Policy. Farm machinery use and agricultural industries in India: Status, evolution, implications and lessons learned. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1032568654.

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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, February 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development of safe systems—as well as to define the language around autonomous agriculture—is also considered. Additionally, this report will highlight the importance of reliability in agricultural machinery and how successful commercialization of autonomy will depend on the ability to do the job correctly and consistently. A critical part of commercial success is how the autonomous agricultural vehicle fits into existing farm processes to provide a complete solution for the farmer. It is hoped that this report will help developers interested in commercializing autonomous agricultural vehicles consider more than just the technical problems to solve and make choices beneficial to market adoption.
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Foster, Andrew, and Mark Rosenzweig. Are There Too Many Farms in the World? Labor-Market Transaction Costs, Machine Capacities and Optimal Farm Size. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23909.

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Haddad, Joanne. Reproduction of 'Are There Too Many Farms in the World? Labor Market Transaction Costs, Machine Capacities, and Optimal Farm Size'. Social Science Reproduction Platform, March 2022. http://dx.doi.org/10.48152/ssrp-ccsf-hd16.

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Armstrong, J. J. Joint FAM/Line Management Assessment Report on LLNL Machine Guarding Safety Program. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1297649.

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Stonaha, P. Development of a Data Acquisition Program for the Purpose of Monitoring Processing Statistics Throughout the BaBar Online Computing Infrastructure's Farm Machines. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/833112.

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Nickerson, Jeffrey, Kalle Lyytinen, and John L. King. Automated Vehicles: A Human/Machine Co-learning Perspective. SAE International, April 2022. http://dx.doi.org/10.4271/epr2022009.

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Automated vehicles (AVs)—and the automated driving systems (ADSs) that enable them—are increasing in prevalence but remain far from ubiquitous. Progress has occurred in spurts, followed by lulls, while the motor transportation system learns to design, deploy, and regulate AVs. Automated Vehicles: A Human/Machine Co-learning Experience focuses on how engineers, regulators, and road users are all learning about a technology that has the potential to transform society. Those engaged in the design of ADSs and AVs may find it useful to consider that the spurts and lulls and stakeholder tussles are a normal part of technology transformations; however, this report will provide suggestions for effective stakeholder engagement.
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Ishihara, T. Exploring the Use of a Reliable IP Multicast to Distribute BaBar's Online Event Processing and Filter Software to a Large Number of Farm Machines. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/826446.

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Sayers, Dave, Rui Sousa-Silva, Sviatlana Höhn, Lule Ahmedi, Kais Allkivi-Metsoja, Dimitra Anastasiou, Štefan Beňuš, et al. The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. Open Science Centre, University of Jyväskylä, May 2021. http://dx.doi.org/10.17011/jyx/reports/20210518/1.

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New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to catch up. This report scketches out some transformative new technologies that are likely to fundamentally change our use of language. Some of these may feel unrealistically futuristic or far-fetched, but a central purpose of this report - and the wider LITHME network - is to illustrate that these are mostly just the logical development and maturation of technologies currently in prototype. But will everyone benefit from all these shiny new gadgets? Throughout this report we emphasise a range of groups who will be disadvantaged and issues of inequality. Important issues of security and privacy will accompany new language technologies. A further caution is to re-emphasise the current limitations of AI. Looking ahead, we see many intriguing opportunities and new capabilities, but a range of other uncertainties and inequalities. New devices will enable new ways to talk, to translate, to remember, and to learn. But advances in technology will reproduce existing inequalities among those who cannot afford these devices, among the world’s smaller languages, and especially for sign language. Debates over privacy and security will flare and crackle with every new immersive gadget. We will move together into this curious new world with a mix of excitement and apprehension - reacting, debating, sharing and disagreeing as we always do. Plug in, as the human-machine era dawns.
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