Relevant bibliographies by topics / Agricultural machinery. Agriculture

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Agricultural machinery. Agriculture'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Agricultural machinery. Agriculture"

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Vitiuk, A. V., and O. A. Smetaniuk. "Economic Interaction of Agricultural Development and Agricultural Machine-Engineering." PROBLEMS OF ECONOMY 4, no. 46 (2020): 134–45. http://dx.doi.org/10.32983/2222-0712-2020-4-134-145.

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The paper deals with the study of the relationship between agricultural development of and agricultural engineering. Production output of certain types of machines and equipment for agriculture are examined. The dynamics of production performance in plant growing and stockbreeding is analyzed. The dynamics of such agricultural development indices as net income, subsidies, taxes, net value added, fixed capital application, etc. are considered. The tripling of output and a steady growth of net profit of agricultural producers are established. It is proven that farm equipment upgrading is less active than net income growth, and thus it was determined that enterprises have the necessary financial resources to generate demand for agricultural machinery. The peculiarities of agricultural machinery production in Ukraine at the present stage are revealed, in particular the causes and consequences of such a situation in production machinery for agricultural enterprises. Two opposite trends in agricultural machinery production are identified, namely, the decline in the production of complex, expensive machinery and the increase in the production of less costly appliances. The condition of the durable equipment in agriculture is analyzed by identifying their value and the degree of wear. Consequences of the increase in the quantity and quality of used machinery in agriculture are revealed. The requirements of agricultural enterprises for the quality of agricultural machinery are identified, and their classification by the requirements for quality, value and service is worked out. The quality requirements include technical and functional characteristics; value requirements consist of equipment prices, discounts, and value-added services. Service requirements comprise quality assurance of information, organizational and maintenance services. In accordance with the established requirements, technical, organizational, economic and social ways to meet these requirements were developed.
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Serebrenny, Vladimir, Madin Shereuzhev, and Ivan Metasov. "Approaches to the robotization of agricultural mobile machines." MATEC Web of Conferences 161 (2018): 03014. http://dx.doi.org/10.1051/matecconf/201816103014.

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Agriculture is the extremely important and developing economic movement in all times. Automation of agricultural machines occurs by different ways. One way is through the creation of specialized technical solutions for the required technological processes, another way is the construction of automatic agricultural machines, including mobile ones. The state of modern technology allows to create autonomous machines. The agriculture robotization trends are the high precision and unmanned farming. The article considers the issues of robotization of agricultural machinery. Stages of robotization of agricultural mobile machines were analyzed. The factors affecting the autonomous movement of mobile agrorobots were shown.
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Zakharchuk, Oleksandr. "Export and import of agricultural machinery." Ekonomika APK 308, no. 6 (June 28, 2020): 81–90. http://dx.doi.org/10.32317/2221-1055.202006081.

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The purpose of the article is to develop scientifically based proposals for improving the material and technical support for the development of agricultural enterprises with domestic and foreign equipment. Research methods. In the research process, the following methods were used: dialectical knowledge of processes and phenomena; monographic (analysis of the development and provision of agriculture with imported and domestic equipment); empirical (according to a comprehensive assessment of the current state of the object of study); comparative analysis (identified the problems and goals of logistics in Ukraine); abstract-logical (generalization and formulation of conclusions). Research results. While studying the issues of export-import of agricultural machinery in Ukraine's agriculture, the current state of material and technical support was revealed and its economic and social aspects were analyzed. The main results on material and technical support of the agriculture of Ukraine are revealed. Scientific novelty. The theoretical provisions on material and technical development in agriculture were further developed, which are based on the modernization of the material and technical base of agricultural enterprises, taking into account the achievements of scientific and technological progress in Ukraine and the world, accelerating the solution of important tasks for the further mechanization of production, which will facilitate the implementation innovative progressive technologies, increase labor productivity. Practical significance. Along with individual positive changes in material and technical support, systemic obstacles to their development have been identified. Suggestions were made to eliminate them by active methods, including through state regulation. Figs.: 9. Refs.: 12.
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Tsench, Yuliya S. "Agricultural science in the Soviet Union in 1945-1965." Tekhnicheskiy servis mashin, no. 2 (June 10, 2020): 156–70. http://dx.doi.org/10.22314/2618-8287-2020-58-2-156-170.

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The law on the five-year plan for the restoration and development of the national economy of the USSR for 1946-50 provided for a significant increase in the volume of agricultural machinery. It was necessary to introduce into agricultural production new high-performance tractors, self-propelled combines, mounted machines with hydraulic control, specialized machines for technical, tilled, forage crops. (Research purpose) The research purpose is in analyzing the achievements of agricultural engineering science in the USSR in 1945-1965. (Materials and methods) Author studied the history of agricultural engineering science development in the USSR in the post-war period on the basis of archival materials and scientific literature. The sources have shown that the creation of new agricultural machinery required the development of research methods, new more effective technologies for design work and the consolidation of efforts of agricultural engineering science, testers and manufacturers of equipment. (Results and discussion) The article presents an analysis of the development of scientific research and technical developments aimed at improving agricultural technologies and agricultural machinery, and intensifying agricultural production. Author have found regional specialized research institutes, specialized design bureaus, and zonal machine-testing stations were established during the period under review. The article notes that the Department of Mechanization of the All-Union Academy of Agricultural Sciences has been significantly strengthened. A crucial role in the development of agricultural engineering science played the leading research institutions in the country, the All-Union Scientific and Research Institute of Mechanization of Agriculture, All-Union Institute of Electrification of Agriculture, All-Union Scientific and Research Technological Institute of Repair and Operation of Machine and Tractor Park, Research Tractor Institute and the National Institute of Agricultural Engineering and Agricultural Universities - Moscow, Azov-black sea, Chelyabinsk, Kharkiv institutes of agricultural mechanization, Rostov and Kirovograd institutes of agricultural engineering. (Conclusions) Thanks to the efforts of academic and university scientists, designers and testers, the latest agricultural machines and equipment were created, the introduction of which made it possible to fully meet the country's needs for food and agricultural raw materials.
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Кондрашова, Elena Kondrashova, Афоничев, Dmitriy Afonichev, Аксенов, and I. Aksenov. "Improving the organization of technical services in agriculture." Forestry Engineering Journal 4, no. 3 (December 8, 2014): 230–36. http://dx.doi.org/10.12737/6295.

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To ensure high performance of the agricultural machinery and equipment it is necessary to improve the system of technical service in agriculture through the creation of specialized service centers. Features of agricultural production are such that machinery and equipment implementing its processes are distributed throughout the agricultural enterprises, and mobile machines and units that form the basis of machine-tractor fleet, change their place of deployment as work progresses in certain areas. This situation complicates the maintenance (M) and current repairs (CR) of agricultural machinery and equipment, as their delivery of their service centers or check out of service technician with the necessary tools, equipment and materials directly to the operation of machines and equipment, or temporary storage sites are required. The result is more expensive M and CR and increased losses from downtime, of course these additional costs and losses must be minimized by the rational organization of processes of M and CR. Analytical dependences are got to determine the costs of the M or CR, taking into accounts the embodiment of losses from downtime of serviced machines and the method of its delivery to the service center. Selecting embodiment of M or CR is carried out on a minimum of these costs, for which the algorithm is proposed, comprising determining the costs of the options under consideration to perform M or TP and compare them to avoid irrational choices. These analytical dependence and calculation algorithm contribute to the improvement of the organization of technical services in agriculture.
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Sun, Qin, Zuo Li Li, Hui Yu, and Jin Sheng Zhang. "The Analysis on Environmental Protection, Energy Saving and Green Design of Agricultural Machinery." Applied Mechanics and Materials 668-669 (October 2014): 1538–41. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1538.

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The energy saving and environmental protection design of agricultural machinery is a new design concept. Based on the analysis of meaning and significance of agricultural machinery energy saving and environmental protection design, Elaborated the trends of energy saving and environmental protection of agriculture machinery. The paper also pointed out that the green design is the inevitable trend of the development of agricultural machinery.
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Skudlarski, Jacek, Piotr Chibowski, Waldemar Izdebski, Roman Krygul, Oksana Makarchuk, Svetlana Zaika, and Stanisław Zając. "Przemiany w wyposażeniu technicznym gospodarstw rolnych na Ukrainie w latach 2000-2015." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 17(32), no. 1 (March 30, 2017): 182–94. http://dx.doi.org/10.22630/prs.2017.17.1.17.

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The purpose of the article was the analysis of the change in the equipment of Ukraine's agriculture in selected means of mechanization of plant growing in the period of 2000-2015. The analysis is limited of tractors, combine harvesters, machines for harvesting potatoes and sugar beet. By preparing the article, data of the State Statistics Service of Ukraine was used, as well as available publications. The changes that have occurred in the agriculture of Ukraine caused significant on depletion of the technical base of agricultural enterprises. At the same time, the area of agricultural land for one tractor and the sown area for one machine increased significantly. One of the important problems facing the Ukrainian agriculture is considerable technical, moral and economical wear and tear of the machinery and tractor fleet in households and enterprises.
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Cong, Hong Bin, Ru Xin Li, and Xin Yue Han. "Application of Kinematics Simulation Technology in Agricultural Machinery Design." Advanced Materials Research 97-101 (March 2010): 3447–50. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3447.

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In this paper, the research status and the significance of the simulation technology were discussed, and the necessity introducing the simulation technology into the agricultural machinery design was analyzed. Through the material kinematics simulation in processing, both the component kinematics simulation and the system dynamic simulation of the agricultural machinery, a specific application of the simulation technology in the agriculture machinery design was displayed. Application of the simulation technology in the agricultural machinery design has a vital significance for enhancing their design and development ability, improving their product performance, as well as promoting new agricultural machinery and the agricultural mechanization.
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Gao, Rui Tao, Xiao Yan Guo, and Yu Hua Cao. "The Life Cycle Design of Green Farm Machinery and Green Supply Chain Management." Advanced Materials Research 524-527 (May 2012): 2460–64. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.2460.

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To realize green agriculture must realize green farm machinery design and the life cycle of green supply chain management, this paper focused on China's existing agricultural machinery design, production, use, management and teaching, discusses the design and use life cycle green supply chain management really realize green agriculture method.
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Pathania, Ankit, Rashmi Chaudhary, and Krishan Kumar. "Analysis of Agriculture Input Consumption by Indian Farmers." International Journal of Economic Plants 7, no. 2 (May 28, 2020): 086–90. http://dx.doi.org/10.23910/2/2020.0369.

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Agriculture has always been a lifeline of the Indian economy as it provides livelihood and employment to more than 54% of the population. It also contributes around 13.9% to the gross domestic product of the country. The backbone of any agricultural revolution is the access of farmers to modern agricultural inputs. These agricultural inputs range from improved seeds, fertilizers and crop protection chemicals to machinery, irrigation and knowledge etc. Keeping this in the background, the present study was carried out to make an analysis of agricultural inputs usages by the Indian farmers. The data for the present study were mainly sourced from various government published reports like agriculture statistical at a glance, 2018 and agricultural research data book, 2018. The analysis of the information was performed using annual growth rate, percentage and compound annual growth rate from 2001-02 to 2017-18. The study resulted in that input-consumption in the agriculture sector has expanded to a large extent during the study period and showing an increasing trend in the consumption-status of most of the agricultural inputs like certified/quality seeds, fertilizers, pesticides, farm machinery and electricity. Furthermore, it can be suggested that agricultural inputs have a huge potential to scale-up and maximizing agricultural productivity in the country.
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Dissertations / Theses on the topic "Agricultural machinery. Agriculture"

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Jepsen, Shelly Dee. "Assessment of the U.S. Department of Labor's Tractor and Machinery Certification Program." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1149104900.

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Decotelli, Carlos Alberto. "Agriculture Machines: Design: Sustainability." reponame:Repositório Institucional do FGV, 2017. http://hdl.handle.net/10438/18184.

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Being competitive in the production of food, using agricultural machinery with up-todate technologies and design, adjusted to the standards of international sustainability and serving customers, does not depend on the size of the company. It depends upon the awareness of the importance of defining the performance space that wants to be conquered in the market. Therefore, every agricultural machinery company needs to define the way it wants to be seen and remembered by its clients, which means the whole company being involved in the mechanization of agribusiness needs, in order to have a position in the market in which it is inserted. The present work aims to identify, based on the German company KRONE and Brazilian companies producing agricultural machines, the variables or positioning indicators that influence the decision making of farmers in the acquisition of high value agricultural machinery, guaranteeing design, sustainability and productivity. These variables can be used by companies to carry out the process of transferring technological innovations, aiming to increase or maintain their market share, by narrowing relations between agricultural producers and companies. The established positioning variables refer to farmers of greater perception when choosing a machine for a given crop. Thus, the relevant technical and / or behavioral factors that influence decision making at the time of purchase by food producers are identified. Through interviews with KRONE's business team and opinion formers in agribusiness, the motivations, perceptions, experiences, behaviors and intentions that directly interfere on the decision-making process are analyzed, and position variables are considered in this study. Knowing more about what and how their customers think, companies can improve their market position. For this reason, a new program for FGV was developed: Sustainability Machinery – Design. To get to know the Brazilian Market, 300 Brazilian Companies producing agricultural machines were interviewed. Companies are supposed to serve as partners in the new discipline, because they benefit from that. Furthermore, the concern with the proper design and sustainability of our world, takes a prominent place in the positioning variables.
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Chisango, Future T. "Agricultural mechanization for sustainable agriculture and food security in Zimbabwe: a case of Bindura District in Mashonaland Central Province." Thesis, University of Fort Hare, 2010. http://hdl.handle.net/10353/348.

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A cardinal development goal of the Zimbabwean government is agricultural mechanization through the acquisition and use of tractors by arable crop farmers in communal and resettlement state land. This research project therefore aimed at investigating the impact of mechanization on agricultural productivity focusing on farmers in Bindura district of Zimbabwe who benefitted under the ongoing farm mechanization program. The existing land policy and the issue of technical efficiency in agricultural productivity are assumed to be the drivers of the program. It is likely that these key issues will constitute an important consideration in determining the sustainability of the mechanization policy. A multistage sampling technique was used to randomly select 90 farmers in the study area. The Cobb Douglas approach and Logistic regression were used to analyze data obtained from the respondents. Results revealed that tractor use was positively influenced by household size, access to extension services and crop output equivalent. Education, land area cultivated, stoniness negatively influenced the probability of adoption of mechanized farming. Furthermore, the technical efficiency estimate of adopter and nonadopters of mechanized farming showed no difference in their level of technical efficiency in agricultural productivity that was 64 percent on average. The level of observed inefficiency was increased by slope, stoniness and household size while age reduced technical inefficiency. It is recommended that government should consolidate the present gains arising from extension services. Also, environmental factors such as slope (topography) and stoniness, which constituted major disincentives in communal areas, could be overcome if government and farmers can identify and open up new areas of farmland for occupation by farmers.
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Pereira, Flávio José de Sousa. "Construção de uma bancada de ensaio e avaliação de um sistema de mensuração da produtividade de grãos." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/11/11148/tde-31072002-150808/.

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Com o avanço da agricultura de precisão, em que a variabilidade da produtividade entre os diversos pontos de uma determinada área é levada em consideração, é necessário aprimorar, cada vez mais, o sistema de coleta de dados, para que os resultados possam ser confiáveis. Dentre outros, faz-se necessário conhecer o desempenho dos sensores localizados nas colhedoras, para que se saiba o nível de acurácia dos dados de campo para a geração dos mapas de produtividade. O objetivo do presente trabalho foi caracterizar o desempenho, sob condições controladas, de um equipamento comercial, especialmente o sensor de fluxo de volume e suas interações com os sensores de inclinação, de velocidade de deslocamento da máquina e de grau de umidade dos grãos, destinados à mensuração da produtividade de culturas de grãos em geral. Foi montada uma bancada de ensaio constituída de um tanque alimentador com comporta de abertura variável, que escoa grãos a um condutor helicoidal, que são transportados para um elevador de taliscas de uma colhedora comercial. Os grãos transportados pelo elevador passam através dossensores de fluxo de volume e grau de umidade e, em seguida, são descarregados num tanque superior suspenso por uma célula de carga com capacidade de 2.000kg (desprezando a variação da gravidade com relação ao nível do mar) para que os dados de massa sejam comparados com os registrados pelo sensor de fluxo de volume. O monitor de produtividade foi ensaiado na bancada para simulações de fluxos constantes e variados em três diferentes posições transversais do elevador. Os resultados mostraram que a bancada de ensaio mostrou-se eficiente para os tipos de ensaios propostos. Sua estrutura é resistente e a variação da angulação do elevador é de fácil manejo. A geometria da construção do tanque de alimentação mostrou-se eficiente para fornecer vazões uniformes com o tempo, obtendo-se taxas de fluxo constantes dentro dos limites de 2,0 a 8,0kg.s-1. O sensor de velocidade apresentou erro médio relativo de 0,31% e o de grau de umidade, erro médio em módulo de 5,01% para as condições estudadas. Quanto mais afastado do fluxo médio de calibração, pior é a estimativa do fluxo pelo monitor de produtividade. O erro médio geral dos ensaios com taxas de fluxo constantes foi de –5,31%, com desvio padrão de 4,14. O monitor propiciou, em 70% dos ensaios, erros pontuais menores que 6% para ensaios com fluxo constante. Suas leituras superestimaram valores menores do que o ponto da taxa de fluxo média de calibração e subestimaram valores para taxas de fluxo maiores que este ponto. As leituras do monitor responderam imediatamente as variações impostas ao fluxo processado pelo elevador de grãos. O clinômetro ou o algoritmo que considera a inclinação é eficiente para compensar as inclinações transversais da máquina, mesmo em condições de taxas de fluxo variadas. O erro médio geral dos ensaios com taxas de fluxo variadas, calculado a partir do erro médio em módulo de cada ensaio foi, 4,84%. O erro médio global encontrado do monitor de produtividade para as leituras com taxas de fluxo constantes e variadas, foi 5,12%.
With the progress of the precision agriculture where spatial yield variability is taken into account, it is necessary to improve data collection so the results can be more reliable. It is necessary to understand how yield sensor used on combines works in order to know the accuracy of the field data for generation of the yield maps. This work aims to characterize the performance, under controlled conditions, of a commercial equipment, its yield sensor and interactions with the hillside sensor, forward speed sensor and grain moisture sensor. A test bench with a tank feeder was built with a variable opening floodgate, which drains grains to the foot of the paddle elevator of a commercial combine. The grain flow transported by the elevator pass through the yield and moisture sensor and is unloaded in a superior tank hold by a load cell with capacity of 2.000kg (desconsidering the variation of the gravity) so that the mass data is compared with that registered by the monitor. The monitor was tested on simulations of constant and variable flow rates in three different transverse positions of the elevator. The results showed that the test bench was shown efficient for the types of proposed tests. Its structure is resistant and the variation of the angle of the elevator is of easy handling. The geometry of the feeding tank was shown efficient to supply uniform flow rates, between 2,0 and 8,0kg.s-1. The speed sensor showed relative mean error of 0,31% and the moisture sensor presented a module mean error of 5,01%. Flow estimation got worst increasing or decreasing the flow rate apart from calibration region. Main mean error of the test with constant flow rates was of -5,31%, with standard deviation of 4,14. On 70% of the test monitor, readings resulted in erros less than 6,00% with constant flow. Its readings overestimated flow values under the mean flow rate of calibration and underestimated flow above it. The readings of the yield monitor responded to the variations imposed to the flow through by the elevator immediately. The hillside sensor and the algorithm that considers the inclination are efficient for compensating the transverse inclinations of the machine, even in conditions of varied flow rates. The general mean error test with varied flow rates, was 4,84%. The global mean error shown by the yield monitor for the readings with varied and constant flow rates was 5,12%.
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Davis, Garrett W. "Defining and Meeting the Demand For Agricultural Machinery in China: A Case Study of John Deere." DigitalCommons@USU, 2009. https://digitalcommons.usu.edu/etd/277.

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There has been little research conducted regarding the agricultural machinery market in China. However, current data suggest that this demand is dramatically increasing. This dissertation endeavors to generally define the current demand of the agricultural machinery market in China. There has been research conducted on multiple factors of the agricultural machinery market in China, such as land tenure rights, rural migration, government agricultural policies, and others. Through the use of limited quantitative data, market demand is analyzed and defined. By means of a qualitative case study of a successful multinational corporation, Deere & Co., how the demand is being met for agricultural machinery in China is also discussed. This case study also contributes to defining market demand for agricultural machinery in China. Through the use of this mixed-method research, key components of the Chinese agricultural machinery market are identified and analyzed. Challenges within this market are discussed, along with how Deere & Co.'s Chinese operations have dealt with these challenges. This corporation's experience in the Chinese market brings benefit to any company seeking to better understand the workings of the agricultural machinery market in China.
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Zandonadi, Rodrigo S. "COMPUTATIONAL TOOLS FOR IMPROVING ROUTE PLANNING IN AGRICULTURAL FIELD OPERATIONS." UKnowledge, 2012. http://uknowledge.uky.edu/bae_etds/11.

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In farming operation, machinery represents a major cost; therefore, good fleet management can have a great impact on the producer’s profit, especially considering the increasing costs of fuel and production inputs in recent years. One of the tasks to be accomplished in order to improve fleet management is planning the path that the machine should take to cover the field while working. Information such as distance traveled, time and fuel consumption as well as agricultural inputs wasted due to off-target-application areas are crucial in the path planning process. Parameters such as field boundary size and geometry, machine total width as well as control width resolution present a great impact on the information necessary for path planning. Researchers around the world have proposed methods that approach specific aspects related to path planning, the majority addressing machine field efficiency per-se, which a function of total time spent in the field as well as effective working time. However, wasted inputs due to off-target-application areas in the maneuvering regions, especially in oddly shaped agricultural fields might be as important as field efficiency when it comes down to the total operation cost. Thus, the main purpose of this research was to develop a path planning method that accounts for not only machinery field efficiency, but also the supply inputs. This research was accomplished in a threefold approach where in the first step an algorithm for computing off-target application area was developed, implemented and validated resulting in a computational tool that can be used to evaluate potential savings when using automatic section control on agricultural fields of complex field boundary. This tool allowed accomplishment of the second step, which was an investigation and better understanding of field size and shape as well as machine width of the effects on off-target application areas resulting in an empirical method for such estimations based on object shape descriptors. Finally, a path planning algorithm was developed and evaluated taking into consideration the aspects of machine field efficiency as well as off-target application areas.
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Manoel, Filho Francisco 1974. "Projeto de um controlador fuzzy-PI para ajuste automático de velocidade da colhedora de cana de açúcar." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256779.

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Orientador: Nelson Luís Cappelli
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola
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Resumo: A mecanização da colheita de cana é um processo irreversível no Brasil, tanto por aspectos ambientais quanto econômicos. A agroindústria canavieira da Região Sudeste tem o maior índice de mecanização, compondo a maior frota de colhedoras de cana picada do país. Essas máquinas oferecem diversos dispositivos, visando uma colheita limpa e sem perdas visíveis. Contudo, a literatura científica relata significativos índices de perdas e impurezas associados à colheita mecanizada da cana, em razão da ineficiência destes dispositivos e também pelo seu uso inadequado. Afim de minimizar erros operacionais, este trabalho apresenta o projeto de um controlador fuzzy-PI para ajuste automático da velocidade da colhedora de cana picada em função das condições operacionais. O desenvolvimento desse projeto envolveu a construção de uma base de conhecimento especialista contendo a experiência de profissionais da colheita mecanizada da cana na condução da colhedora. A partir dessa base de conhecimento, utilizando-se o "Fuzzy Logic Toolbox" do MATLAB, desenvolveu-se um sistema especialista fuzzy, com a função de indicar um índice que representa a velocidade de deslocamento da colhedora. Esse sistema especialista combinou dois Fuzzy Inference System, um para as variáveis relacionadas à Cultura e outro para as variáveis relacionadas ao Ambiente. No projeto do controlador, o sistema especialista foi integrado como gerador de setpoint de velocidade, e envolveu a construção do diagrama de blocos do sistema hidráulico no MATLAB-Simulink, que foi parametrizado segundo a especificação dos componentes da colhedora. A validação do sistema foi feita através de cenários operacionais específicos, simulados no modelo e confrontados por especialistas na área, alcançando 86,5% de acerto, indicando potencial técnico para a implantação do controlador
Abstract: The mechanization of the sugarcane harvest is an irreversible process in Brazil, both environmental and economic aspects. The sugar cane industry in the southeast region has the highest rate of mechanization, composing the largest fleet of combines chopped cane country. These machines offer several devices, targeting a harvest clean and without visible losses. However, the scientific literature reports significant loss ratios and impurities due to mechanized harvesting of sugarcane due to the inefficiency of these devices and also for its misuse. In order to minimize operational errors, this search presents the design of a fuzzy-PID controller for automatic adjustment of the speed of sugar cane harvester according to operating conditions. The development of this project involved the construction of a knowledge base containing the expertise of specialists in mechanical harvesting of sugarcane in driving the harvester. From this knowledge base, using the MATLAB Fuzzy Logic Toolbox, it was developed a fuzzy expert system with the function of indicating an index that represents the speed of the harvester. This expert system combined two Fuzzy Inference System, one for the variables related to culture and other variables related to the environment. In the controller design, the expert system was integrated as generator speed setpoint, and involved the built of block diagram of hydraulic system in MATLAB-Simulink, which was parameterized according to the specification of the components of the harvester. The validation of the system was done through specific operational scenarios simulated in the model, and confronted by experts in the field, reaching 86.5% accuracy, indicating technical potential for the deployment of the driver
Doutorado
Maquinas Agricolas
Doutor em Engenharia Agrícola
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Tangerino, Giovana Tripoloni. "Sistemas de sensoriamento embarcado para uso em controle de aplicações de insumos agrícolas à taxa variável." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-02032010-153816/.

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O desenvolvimento de sistemas com capacidade de unir ferramentas tecnológicas é de grande importância para oferecer apoio à Agricultura de Precisão e estimular a criação de grupos interdisciplinares para obter resultados favoráveis à produtividade agrícola. O objetivo desse trabalho é estudar as aplicações de sensoriamento embarcado em máquinas agrícolas, explorando a interface da agricultura com a computação e as engenharias mecânica e elétrica por meio de conceitos e tecnologias de sistemas de medidas. Foram desenvolvidos dois sistemas de sensoriamento embarcados. No primeiro realizou-se coleta de informações sobre refletância e altura das plantas em cultura de cana-de-açúcar. No segundo realizou-se coleta de informações e controle de aplicação de fertilizantes à taxa variável baseado em informações de refletância em cultura de milho. Utilizou-se os sensores Crop Circle (medidas de refletância para monitoramento de status da planta), Sonar (medida de altura de plantas) e GPS (Sistema de Posicionamento Global), com os quais foram realizados ensaios para determinar possíveis fontes de erro em uma operação agrícola. Os sistemas desenvolvidos cumpriram o papel de integradores de conhecimento, possibilitando observações práticas sobre necessidades, falhas e acertos no desenvolvimento de sistemas embarcados para uso em aplicações agrícolas
The development of systems able to join different technological tools is very important in order to provide support for Precision Agriculture and it stimulates the creation of interdisciplinary teams to obtain favorable results to increase agricultural productivity. The main goal of this work is to study applications of embedded sensing systems in agricultural machines, exploring the interface between computer science, mechanical, electrical, and agricultural engineering using concepts and technologies of measurement systems. It was developed two on board sensing systems. The first system collected the data of crop reflectance and plant height in sugar cane growing area. The second one controlled the variable rate fertilizer distribution based on reflectance of maize crop. Were used the sensors Crop Circle (reflectance to monitor the status of the plant), Sonar (plant height) and GPS (Global Positioning System), which were applied to detect some possible error sources during field operation. The systems developed fulfilled the role of integrating knowledge, providing practical observations about the needs, failures and successes in developing embedded systems for use in agricultural production
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D\'Arbo, Renata Cipolli. "Desenvolvimento tecnológico na agricultura cafeeira em São Paulo e Ribeirão Preto, 1875-1910." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/8/8137/tde-03072017-083913/.

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O tema desta tese é a evolução da tecnologia na cafeicultura em São Paulo durante o período excepcional de crescimento da lavoura e das exportações de café entre o final do século XIX e o início do século XX. De modo geral, o interesse dos historiadores econômicos pelo tema do progresso técnico na agricultura tem se concentrado no impacto da tecnologia sobre a produtividade. No entanto, outro aspecto importante da tecnologia diz respeito às técnicas agrícolas e aos processos mecânicos utilizados no cultivo, colheita e beneficiamento do café. A historiografia que trata dessa última dimensão do progresso técnico é relativamente escassa, havendo importantes questões que ainda necessitam ser investigadas de forma detalhada. Nosso trabalho parte dessas constatações e idéias para investigar o desenvolvimento tecnológico na agricultura cafeeira paulista, com ênfase no município de Ribeirão Preto no período de 1875 a 1910. O município de Ribeirão Preto foi o principal produtor de café no chamado Oeste novo paulista, desenvolvendo-se acentuadamente com a expansão cafeeira no final do século XIX e tornando-se o centro da maior área de produção de café do mundo. O período abrangido pelo estudo permite acompanhar a evolução da tecnologia durante a chegada e consolidação da cultura cafeeira em Ribeirão Preto, que experimentou nesse período a transição de uma economia basicamente rural para uma economia urbana. Os anos de 1875 a 1910 também constituem um período privilegiado de estudo da difusão de invenções e inovações na agricultura cafeeira entre o final do século XIX e início do século XX.
The theme of this thesis is the development of technology in coffee production in São Paulo during the exceptional period of crop growth and exports of coffee between the late nineteenth and early twentieth century. Generally, the interest of economic historians in the subject of technical progress in agriculture has focused on the impact of technology on productivity. However, another important aspect of technology relates to agricultural techniques and mechanical processes used in growing, harvesting and processing coffee. The historiography that treats this last dimension of technical progress is relatively sparse, with important issues that still need to be investigated in detail. Our work investigates the technological development in coffee farming in São Paulo, with emphasis in Ribeirão Preto in the period 1875-1910. The period covered by the study will monitor the evolution of technology during the arrival and consolidation of coffee culture in Ribeirão Preto that experienced the transition from a largely rural economy to an urban economy. The years 1875-1910 also constitute a privileged period to study the diffusion of inventions and innovations in coffee agriculture between the late nineteenth and early twentieth century.
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Camargo, Marcel Pinton de. "Aerial machine vision, geographical information system and hue for pattern classification in agriculture." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-17012019-180101/.

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In this research we aim to achieve cybernetic cohesion information flow in precision agriculture, integrating machine learning methods, computer vision, geographical information system and UAV-photogrammetry in an irrigated area with slaughterhouse wastewater, under five treatments (W100 - irrigation with superficial water and 100% of nitrogen mineral fertilization, E0, E33, E66 and E100 - irrigation with treated effluent from slaughterhouse and addition of 0, 33, 66 and 100% of nitrogen mineral fertilization, respectively) and four replications on grassland (Cynodon dactylon (L.) Pers.). Several images (between one hundred and two hundred) with red, green, blue (RGB) color model were captured using a quadcopter flying at 20 meter altitude and obtaining spatial resolution of 1 centimeter on a surface of approximately 0.5 ha. The images were orthorectified together with nine ground control points done by differential global positioning system (GPS), both processed in the Agisoft PhotoScan software. Thirteen photogrammetric projects were done over time with 30-day revisit, the root mean squared error (RMSE) was used as accuracy measurement, and reached values lower than 5 centimeters for x, y and z axis. The orthoimage obtained with unmanned aerial vehicle (UAV) photogrammetry was changed from RGB to hue, saturation, value (HSV) color model, and the hue color space was chosen due to independence of illumination, beyond it has a good description of exposure of soil and vegetation, but it is dependent of light source temperature, so difficult to estabilish a static threshold, so we selected an unsupervised classification method, K-Means, to classify the unknown patterns along the area. Polygons were drawn delimiting the area represented by each portion and a supervised classification method based on entropy was used, the decision tree, to explore and find patterns that recognize each treatment. These steps are also displayed in forms of georeferenced thematic maps and were executed in the open source softwares Python, QGIS and Weka. The rules defined on the hue color space reached an accuracy of 100% on the training set, and provided a better understanding about the distribution of soil and vegetation on the parcels. This methodology shows a great potential for analysis of spectral data in precision agriculture.
Nesta pesquisa pretendemos alcançar a coesão cibernética no fluxo de informações dentro da agricultura de precisão, integrando métodos de aprendizagem de máquinas, visão computacional, sistema de informação geográfica e aerofotogrametria em uma área irrigada com efluente de matadouro, sob cinco tratamentos (W100 - irrigação com água superficial e 100 % de adubação mineral nitrogenada, E0, E33, E66 e E100 - irrigação com efluente tratado de abatedouro e adição de 0, 33, 66 e 100% de adubação mineral nitrogenada, respectivamente) e quatro repetições em pastagem (Cynodon dactylon (L.) Pers.) Várias imagens (entre cem e duzentas) com modelo de cor vermelho, verde e azul (RGB) foram capturadas por um quadricóptero voando a 20 metros de altitude, e obtendo resolução espacial de 1 centímetro em uma superfície de aproximadamente 0.5 ha. As imagens foram ortorretificadas juntamente com nove pontos de controle, realizados pelo sistema de posicionamento global diferencial (GPS), ambos processados no software Agisoft PhotoScan. Treze projetos fotogramétricos foram realizados ao longo do tempo com revisita de 30 dias, a raiz do erro quadrático médio (RMSE) foi usada como medida de acurácia e atingiu valores menores que 5 centímetros para os eixos x, y e z. A ortoimagem obtida com a fotogrametria do veículo aéreo não tripulado (UAV) foi alterada de RGB para matiz, saturação, valor (HSV) e o espaço de cor matiz foi escolhido devido a independência da iluminação, além de ter boa descrição da exposição do solo e vegetação. Entretanto este é dependente da temperatura da fonte de luz, portanto difícil de se estabelecer um limiar estático, logo selecionamos um método de classificação não supervisionado, o K-Means, para classificar os padrões desconhecidos ao longo da área. Polígonos foram traçados delimitando a área representada por cada parcela e um método supervisionado de classificação baseado na entropia foi utilizado, a árvore de decisão, para explorar e encontrar padrões que reconheçam cada tratamento. Essas etapas também são exibidas em formas de mapas temáticos georeferenciados e foram executadas nos softwares de código aberto Python, QGIS e Weka. As regras definidas no espaço de cor matiz atingiram uma acurácia de 100% no conjunto de treinamento e proporcionaram um melhor entendimento sobre a distribuição do solo e da vegetação nas parcelas. Esta metodologia mostra um grande potencial para análise de dados na agricultura de precisão.
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Books on the topic "Agricultural machinery. Agriculture"

1

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

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Hokubu Chōsen, shokuminchi jidai no Doitsu-shiki daikibo nōjō keiei: Rankoku Kikai Nōjō no chōsen. Tōkyō: Akashi Shoten, 2011.

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Trujano, José Monsalvo. Nuestra enviciada producción de alimentos y su rehabilitación. Puebla, Pue: Centro de Estudios Históricos de Puebla, 1990.

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Tamwīl al-zirāʻah al-ālīyah fī minṭaqat al-Qaḍārif. [Khartoum]: al-Markaz al-Sūdānī lil-Buḥūth wa-al-Dirāsāt wa-al-Tawthīq, 2011.

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Kang, Ch'ang-yong. Nonggigye sanŏp ŭi palchŏn pangan: Development strategy for agricultural machinery industry. Sŏul T'ŭkpyŏlsi: Han'guk Nongch'on Kyŏngje Yŏn'guwŏn, 2013.

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Čʻitaia, G. Kʻartʻveli xalxis sameurneo qopʻa da materialuri kultura. Tʻbilisi: Mecʻniereba, 1997.

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Chong-sŏp, Kim, ed. Nonggigu. Sŏul: Taewŏnsa, 1990.

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Peterson, Cris. Fantastic farm machines. Honesdale, Pa: Boyds Mills Press, 2006.

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István, Husti. A termelőberendezések kihasználásának alapkérdései a mezőgazdaságban. Budapest: Akadémiai Kiadó, 1995.

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Sŭng-mo, An, ed. Hanʾguk ŭi nonggigu: Chŏntʻong nonggyŏng ŭi yŏksa = Agricultural implements in Korea. Sŏul: Ŏmunʾgak, 2001.

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Book chapters on the topic "Agricultural machinery. Agriculture"

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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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Moreda, Guillermo P. "Automated guidance of agricultural machinery." In Manuali – Scienze Tecnologiche, 12. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.12.

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In modern agriculture, tractors have been fitted with accessories and technologies to help the tractor guidance. In this topic, these technologies will be explained describing different possibilities for the adoption of farm machinery guidance aids. Differences between systems helping the guidance and autosteering systems will be defined, along with current state of legislation concerning unmanned vehicles. Levels of precision in the track of the machinery will be explained, related with the GNSS technology onboard. Consequences of a better tractor guidance on farm tasks and economy will be outlined
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Ren, Chang, Yanwei Yuan, Liwei Yang, Junning Zhang, Yangchun Liu, Chengxu Lv, and Bo Zhao. "Operation Area Measurement Based on Trajectories of Agricultural Machinery." In Computer and Computing Technologies in Agriculture XI, 384–94. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06137-1_35.

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Zhang, Fan, Guifa Teng, Jie Yao, and Sufen Dong. "Research on Influenced Factors about Routing Selection Scheme in Agricultural Machinery Allocation." In Computer and Computing Technologies in Agriculture IV, 365–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_45.

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Fu, Weiqiang, Shupeng Hu, Changhai Luo, You Li, Shuxia Guo, and Junxiong Zhang. "Development and Test of GNSS/IMU-Based Speed Measurement Device for Agricultural Machinery." In Computer and Computing Technologies in Agriculture XI, 440–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06137-1_40.

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Chen, Di-yi, Yu-xiao Liu, Xiao-yi Ma, and Yan Long. "Prediction of Agricultural Machinery Total Power Based on PSO-GM(2,1,λ, ρ) Model." In Computer and Computing Technologies in Agriculture IV, 205–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_24.

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Habyarimana, Ephrem. "Future Vision, Summary and Outlook." In Big Data in Bioeconomy, 291–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_21.

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AbstractThe DataBio’s agriculture pilots were carried out through a multi-actor whole-farm management approach using information technology, satellite positioning and remote sensing data as well as Internet of Things technology. The goal was to optimize the returns on inputs while reducing environmental impacts and streamlining the CAP monitoring. Novel knowledge was delivered for a more sustainable agriculture in line with the FAO call to achieve global food security and eliminate malnutrition for the more than nine billion people by 2050. The findings from the pilots shed light on the potential of digital agriculture to solve Europe’s concern of the declining workforce in the farming industry as the implemented technologies would help run farms with less workforce and manual labor. The pilot applications of big data technologies included autonomous machinery, mapping of yield, variable rate of applying agricultural inputs, input optimization, crop performance and in-season yields prediction as well as the genomic prediction and selection method allowing to cut cost and duration of cultivar development. The pilots showed their potential to transform agriculture, and the improved predictive analytics is expected to play a fundamental role in the production environment. As AI models are retrained with more data, the decision support systems become more accurate and serve the farmer better, leading to faster adoption. Adoption is further stimulated by cooperation between farmers to share investment costs and technological platforms allowing farmers to benchmark among themselves and across cropping season.
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Zhou, Qian, Jiandong Jiang, Zhangfeng Zhao, Jiang Zhong, Bosong Pan, Xiao Jin, and Yuanfang Sun. "Research on the Internet of Things Platform Design for Agricultural Machinery Operation and Operation Management." In Computer and Computing Technologies in Agriculture XI, 400–410. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06179-1_40.

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Ju, Jinyan, Lin Zhao, and Jinfeng Wang. "Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method." In Computer and Computing Technologies in Agriculture VI, 85–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36124-1_11.

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Zhiguo, Sun, Xia Hui, and Wang Wensheng. "An Architecture for the Agricultural Machinery Intelligent Scheduling in Cross-Regional Work Based on Cloud Computing and Internet of Things." In Computer and Computing Technologies in Agriculture IV, 9–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18333-1_2.

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Conference papers on the topic "Agricultural machinery. Agriculture"

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Kennedy, Phyllip D. "Reliability History of Electronics in Agriculture." In Agricultural Machinery Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/851112.

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JUŚCIŃSKI, Sławomir. "THE MOBILE SERVICE OF AGRICULTURAL MACHINES AS THE ELEMENT OF THE SUPPORT FOR THE SUSTAINABLE AGRICULTURE." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.25.

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Wu, Jianzhai, Jianhua Zhang, Shuqing Han, Xiangyang Zhou, Mengshuai Zhu, and Fantao Kong. "Application Level Evaluation Index System and Model Construction of Agricultural IoT in the Whole Industrial Chain of Agriculture." 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-17.2017.268.

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WASILEWSKI, Jacek, Andrzej KURANC, Joanna SZYSZLAK-BARGŁOWICZ, Monika STOMA, Tomasz SŁOWIK, and Dalibor BARTA. "Assessment of Efficiency of an Agricultural Tractor Engine for Different Rotational Speeds." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.73.

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SZYSZLAK-BARGŁOWICZ, Joanna, Grzegorz ZAJĄC, Monika STOMA, Andrzej KURANC, and Jacek WASILEWSKI. "Renewable Energy Sources Used for Agricultural Purposes as Exemplified by a Rural Municipality." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.67.

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BUTKUS, Ričardas, and Gediminas VASILIAUSKAS. "FARMERS' EXPOSURE TO NOISE AND VIBRATION IN SMALL AND MEDIUM-SIZED FARMS." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.059.

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Occupational noise, hand-arm and whole-body vibration are the main human health risk factors in various economic activity sectors including agriculture. Workers of agricultural sector are usually under increased risk as their exposure to these risk factors is usually longer than reference 8 hours. Moreover, most agricultural activities are related with the processes which include multiple equipment and machinery therefore noise and vibration exposure analysis is a complex issue which is usually undeservedly simplified. This problem can be emphasized by statistical data provided by State Labour Inspectorate of the Republic of Lithuania. Occupational diseases registered for farmers, agricultural and forestry workers consist 16 % of all those registered in Lithuania. Four of five occupational diseases registered in Lithuania are related to vibration and noise (musculoskeletal (66 %) and hearing loss (13 %) and has the increasing tendency over the last years. These tendencies demand a deeper analysis of noise and vibration exposure of farmers and farm workers as obtained results could help to specify the strategy or procedure to reduce negative exposure effects. The results reveal that noise exposure level usually exceed exposure action value of 80 dBA while hand-arm and whole-body vibration exposure limit value of 1.15 and 5 m/s2 respectively.
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Karaalp Orhan, Hacer Simay. "Competitiveness of Turkey in Eurasia: A Comparison with CIS Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2010. http://dx.doi.org/10.36880/c01.00210.

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The main aim of this paper is to examine international competitiveness of Turkey both in world market and CIS (Commonwealth of Independent States) in comparison with Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyz Republic, Moldova, Ukraine, Russia and to determine the value of trade between Turkey and CIS countries. The Revealed Comparative Advantage, Grubel-Lloyd (IIT) and Trade Intensity indices were calculated for sixteen commodity groups over the period 1996–2008 by using WTO data. The results suggest that Turkey is more competitive in CIS market and has comparative advantage in various products. Turkey has comparative advantage not only in agricultural products, food, manufactures, automotive products, textile and clothing as the world market but also in chemicals, pharmaceuticals, machinery-transport equipment, office-telecom equipment and telecommunications vis-à-vis CIS countries. CIS countries exhibit similar comparative advantages in the world market. CIS countries have comparative advantage particularly in fuels and mining products, agricultural products, food, iron and steel but in a decreasing trend. The IIT results indicate that while Turkey approaches intra-industry specialization in agricultural products, food and textile but also manufacture products such as iron and steel, telecommunications equipment, machinery-transport and automotive products. CIS countries’ economy indicates increasing intra-industry trade in agriculture products, food manufactures, iron and steel. It is found that there is an intense relationship between Turkey and CIS countries except Belarus. Bilateral trade flow between Turkey and Azerbaijan, Kyrgyz Republic and the Georgia is extremely larger than these countries’ importance in world trade.
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DEFAYS, Guillaume. "ASSESSMENT OF THE CAN BUS TECHNOLOGY IMPLEMENTED ON MODERN AGRICULTURAL TRACTORS TO STUDY FUEL CONSUMPTION SAVINGS." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.18.

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MAZURKIEWICZ, Jakub, Magdalena MYSZURA, Kamil KOZŁOWSKI, Anna SMURZYŃSKA, and Sebastian KUJAWIAK. "The Influence of Aeration Ratio on Energetic Aspects of Composting Process of Sewage Sludge With Agricultural Waste." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.43.

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S, Sahu, and Lenka C. "Occupational Health Hazards of Women in Agriculture - A Study on Bargarh District of Odisha." In 2nd International Conference on Agriculture, Food Security and Safety. iConferences (Pvt) Ltd, 2021. http://dx.doi.org/10.32789/agrofood.2021.1004.

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The woman is the backbone of the agricultural workforce but worldwide, her hard work has mostly been unpaid. The objective of the study was to find the common occupational health hazards in women agricultural workers and their effects and to find out the protective measures used by agricultural workers for the prevention of occupational health hazards. The present study was based on 110 samples of three villages of Bhatli Block in Bargarh District in the period of 2018-2019. The results revealed that physical hazards such as body pain (86.36%) and fatigues (83.63%) were most common in all agricultural activities. The majority of respondents (77.24%) had mechanical hazards, i.e. injury occur due to farm tools and machinery. Chemical hazards like skin problems affected 39.09% of workers, and environmental hazards such as air-borne allergies (32.72%), poisonous organism bites (21.81%) were found common among the respondents, and no association was found between their socio-economic levels in the relevance of occupational health hazard. The agricultural workers were usually careless towards the prevention of occupational hazards.
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Reports on the topic "Agricultural machinery. Agriculture"

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Sergeevich, Shpinev Iurii. Legal regulation of investments in agriculture. DOI CODE, 2020. http://dx.doi.org/10.18411/1311-1972-2020-00020.

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The article deals with current problems of legal regulation of investment relations in the agricultural sector of the national economy, including leasing of agricultural machinery, agricultural territories with a special regime of business activity, as well as issues of regulation of digitalization of the agroindustrial complex.
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Takeshima, Hiroyuki, and Yanyan Liu. Determinants of agricultural machinery adoption intensities in Ghana. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133387.

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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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Liu, Yanyan, and Yuan Zhou. Land plot size, machine use and agricultural intensification in China. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133385.

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5

Gopinath, Munisamy, Feras Batarseh, and Jayson Beckman. Machine Learning in Gravity Models: An Application to Agricultural Trade. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27151.

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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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Research Department - Balance of Payments - Obsolete Files - Blockade - Other Machines and Machinery (Not Electrical or Agricultural) - 1939. Reserve Bank of Australia, September 2021. http://dx.doi.org/10.47688/rba_archives_2006/14150.

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Operator of three-wheeled agricultural sprayer was killed when machine overturned. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, October 1999. http://dx.doi.org/10.26616/nioshsface99ia010.

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Research Department - Balance of Payments - Obsolete Files - Blockade - Machinery - Agricultural, Dairying, etc - 1936 - 1937. Reserve Bank of Australia, September 2021. http://dx.doi.org/10.47688/rba_archives_2006/14147.

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