Academic literature on the topic 'Agricultural industries Mathematical models'

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Journal articles on the topic "Agricultural industries Mathematical models"

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Rudoy, Dmitry, Anastasiya Olshevskaya, Egor Alentsov, et al. "Mathematical modeling in the agro-industrial complex: basic problems and models construction." E3S Web of Conferences 381 (2023): 01082. http://dx.doi.org/10.1051/e3sconf/202338101082.

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Currently, information technologies have been tightly integrated into agriculture. Since no computer calculations are possible without a powerful mathematical apparatus, the question arises about the possibility of modeling the processes occurring in agriculture with the help of modern achievements of science and technology. The present study is devoted to the existing methods of mathematical modeling in agriculture in relation to the applied aspects of agriculture. The aim of the research is to develop a critical approach to modern developments in the field of mathematical modeling and their
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Мигущенко, Руслан Павлович, Ольга Юріївна Кропачек, Лілія Степанівна Шустік, and Катерина Русланівна Мигущенко. "LABORATORY STUDIES OF MATHEMATICAL MODELS THERMAL OBJECTS." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 2 (June 4, 2023): 4–11. http://dx.doi.org/10.20998/2411-3441.2022.2.01.

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Is devoted to the development and analysis of mathematical models of thermal objects. The extruder adopted as a thermal object is a vivid example of multi-zone pass-through technological units, the value of which is enormous for the domestic economy. In the article, the replacement of a real industrial object with a laboratory sample is carried out to work out the methodology of practical identification when obtaining a mathematical model with its subsequent analysis. A positive result is able to transfer the obtained results to a real technological unit. In the article, the object of research
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Yousif, Jabar H., and Khaled Abdalgader. "Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture." Computers 11, no. 1 (2022): 7. http://dx.doi.org/10.3390/computers11010007.

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Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the o
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Zhdanov, Valery, Elena Logacheva, Viktor Yarosh, and Alexander Ivashina. "Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises." BIO Web of Conferences 37 (2021): 00103. http://dx.doi.org/10.1051/bioconf/20213700103.

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Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensit
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Black, JL, GT Davies, and JF Fleming. "Role of computer simulation in the application of knowledge to animal industries." Australian Journal of Agricultural Research 44, no. 3 (1993): 541. http://dx.doi.org/10.1071/ar9930541.

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The net financial return of an enterprise depends on the interaction among a great many factors. Some of these factors relate to the animal, some to its diet, some to its environment, some to the prevalence of disease and some to circumstances outside the production enterprise such as the premiums paid for products of different quality, the relative price structure of feeds and products, and the availability and cost of capital, labour, breeding stock and other resources. Although there has been a great deal of research into many of these factors, the complexity of the interactions between the
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Годжаева, Э. С., К. А. Пюрвеева, С. А. Бурзаев, et al. "The role of mathematical models in the development of scenarios for the development of the agro-industrial complex of Russia." Экономика и предпринимательство, no. 1(126) (March 12, 2021): 135–42. http://dx.doi.org/10.34925/eip.2021.126.01.022.

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В статье представлена роль применения математического подхода в разработке сценариев развития АПК России. Особенность аграрного производства предусматривает применение комплексного подхода экономико-математических методов принятия стратегических решений. The article presents the role of using the mathematical approach in the development of scenarios for the development of the agro-industrial complex of Russia. The peculiarity of agricultural production involves the use of an integrated approach of economic and mathematical methods for making strategic decisions.
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A. Urasova, Anna, Aleksander N. Pytkin, Igor Yu. Zagoruyko, Andrei V. Plotnikov, and Vadim P. Cherdantsev. "Prospects of Development of Agricultural Branches of the Regions of the Russian Federation: Correlation Models and Effectiveness of Management." International Journal of Engineering & Technology 7, no. 4.38 (2018): 591. http://dx.doi.org/10.14419/ijet.v7i4.38.24629.

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Currently, Russia faces an urgent need for accelerated development of agricultural branches and rural infrastructure. The solution of the tasks of agricultural management is one of the most urgent problems of determining the reserves of growth of agricultural production in each of the Russian regions. In this regard, the authors set a goal to develop and evaluate correlation models describing the dependence of the volume of production of agricultural branches in the regions of the Russian Federation on the number of investments and the commissioning of fixed assets. The authors justify the cho
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Taylor, Rachel A., Erin A. Mordecai, Christopher A. Gilligan, Jason R. Rohr, and Leah R. Johnson. "Mathematical models are a powerful method to understand and control the spread of Huanglongbing." PeerJ 4 (November 3, 2016): e2642. http://dx.doi.org/10.7717/peerj.2642.

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Huanglongbing (HLB), or citrus greening, is a global citrus disease occurring in almost all citrus growing regions. It causes substantial economic burdens to individual growers, citrus industries and governments. Successful management strategies to reduce disease burden are desperately needed but with so many possible interventions and combinations thereof it is difficult to know which are worthwhile or cost-effective. We review how mathematical models have yielded useful insights into controlling disease spread for other vector-borne plant diseases, and the small number of mathematical models
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Mygushchenko, Ruslan, Olga Kropachek, Igor Korzhov, and Taras Baraniuk. "OBTAINING MATHEMATICAL MODELS OF MULTI-ZONE TECHNOLOGICAL UNITS THROUGH PRACTICAL IDENTIFICATION." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 1 (November 14, 2022): 8–14. http://dx.doi.org/10.20998/2411-3441.2022.1.02.

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Modern industrial equipment represents an extensive conjuncture of industrial and agricultural objects. Such objects require control of technical and technological processes during their operation and the ability to manage said processes in real time. The construction of control and management systems of industrial objects requires the study of such objects, and this is impossible without the presence of an appropriate mathematical model of the processes occurring in the equipment. It is known that any processes can be described by differential equations of the appropriate order. However, prac
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O.V., Kondratieva. "Improvement of Information Technologies in the Domestic Agro-Industrial complex." Machinery and Equipment for Rural Area, no. 8 (August 27, 2023): 7–11. http://dx.doi.org/10.33267/2072-9642-2023-8-7-11.

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Perspective paths of using modern information technologies in the agro-industrial complex are considered. It was revealed that computer programs are the basis of new information technologies, in which advanced methods of agro-industrial production are presented in the form of mathematical models. Examples of the development of digital solutions for enterprises and organizations in the agricultural sector are given.
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Dissertations / Theses on the topic "Agricultural industries Mathematical models"

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Guedes, Maria do Carmo Vaz de Miranda. "Mathematical models in capital investment appraisal." Thesis, University of Warwick, 1988. http://wrap.warwick.ac.uk/107492/.

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Manning, Charles Roger 1956. "Infiltration parameters for mathematical models of furrow irrigation." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/278286.

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The effort to improve furrow irrigation design and management by use of mathematical models is hampered by the difficulty of obtaining infiltration parameters that adequately describe the infiltration process in furrows. This difficulty is related to the effect on infiltration of the variability of wetted width of a furrow with depth. Detailed field measurements of twelve furrow irrigations were used to develop infiltration parameters based on three different assumptions regarding the variation of wetted width with depth. These infiltration parameters were used as input into a mathematical mod
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Madramootoo, Chandra Alastair 1954. "An agricultural land drainage simulation model /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72017.

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A deterministic computer model was developed to continuously simulate the runoff from surface and subsurface-drained fields in the St. Lawrence lowlands. The model simulates all of the major hydrologic and hydraulic processes occurring both above and below the ground. Input data requirements include hourly rainfall, daily potential evapotranspiration, soil physical properties, field dimensions, open channel geometry and drainage system specifications.<br>Events for the years 1978 to 1982 were simulated, to compare the runoff characteristics between 20 ha, clay loam, surface-drained and subsurf
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Perrone, Jim T. "Hydrologic modeling of an agricultural watershed in Quebec using AGNPS." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29763.pdf.

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Patterson, Katherine Liza. "Wealth accounts for agricultural land : a hedonic pricing approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0007/MQ29762.pdf.

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Lloyd, Tim. "Present value models of agricultural land prices in England and Wales." Thesis, University of Nottingham, 1992. http://eprints.nottingham.ac.uk/11753/.

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This study employs recently developed techniques in time series econometrics to estimate linear models of equilibrium price determination in a competitive market for durable assets. Motivating this study is the unstructured approach employed in previous land price research, where the theoretical model of agent behaviour is invariably mis-specified or left undeveloped and the empirical model prone to the problems of spurious regression. The joint issues of theoretical and statistical congruence play important roles here. Specifically, a theoretical model is developed in which market participant
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Richard, Paul François. "A computer analysis of the flow of water and nutrients in agricultural soils as affected by subsurface drainage." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29171.

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A computer model was developed in order to determine the effects of drainage practices on nutrient losses from level agricultural soils. The model performs a daily simulation of the vertical flow of water, nitrogen, phosphorus, and heat, and of the growth of crops. A water flow submodel calculates the depth of the water table based on daily predictions of evaporation, transpiration, flow to drains and ditches, and deep percolation. An original saturated-unsaturated flow algorithm is used to determine moisture infiltration, redistribution, and upward flow in the soil matrix, as well as bypassi
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Kaharabata, Samuel K. "Non-disturbing methods of estimating trace gas emissions from agricultural and forest sources." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35903.

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Two approaches, one using an atmospheric diffusion model and the other an atmospheric tracer, were used to predict the source strength of trace gases from observations of the downwind concentration field. Both approaches do not disturb the prevailing environmental and physical conditions nor the existing biogenic processes. An analytical solution to the advection-diffusion equation was used to back-calculate the source strength from the downwind concentration measurements of (i) single and multipoint (4 and 16 points) trace gas (sulphur hexafluoride (SF6) and methane (CH4)) release experiments
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Basak, Rishi. "Environmental management systems and the intra-firm risk relationship." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0034/MQ64316.pdf.

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Arroyo, Jorge M. "Money and the dispersion of relative prices in the drug and apparel industries." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/28574.

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Books on the topic "Agricultural industries Mathematical models"

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Khaĭve, Chaves M., and Akademi͡ia nauk SSSR. Vychislitelʹnyĭ ͡tsentr, eds. Nekotorye zadachi sostavleni͡ia plana rabot i algoritmy ikh resheni͡ia. Vychislitelʹnyĭ ͡tsentr AN SSSR, 1988.

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Tochilin, Viktor Aleksandrovich. Ėkonomiko-matematicheskiĭ analiz razvitii͡a︡ regionalʹnykh agropromyshlennykh formirovaniĭ. Nauk. dumka, 1991.

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Kuznet︠s︡ov, Vladimir Vasilʹevich. Modeli ėkonomicheskogo planirovanii︠a︡ razvitii︠a︡ APK. VNII ėkonomiki i normativov, 2005.

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Zdorov, A. B. Metodologii︠a︡ prognozirovanii︠a︡ strukturnykh izmeneniĭ APK. Informagrobiznes, 1997.

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L, Frolova, Vasermanis Ė, Spilbergs A, and Pētera Stučkas Latvijas Valsts universitāte. Ekonomiskās kibernētikas katedra., eds. Modelirovanie razvitii͡a︡ mezhotraslevyh kompleksov Latviĭskoĭ SSR: Sbornik nauchnykh trudov. Latviĭskiĭ gos. universitet im. P. Stuchki, 1985.

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Pasternak, P. P. Sistemnoe modelirovanie ėkonomicheskikh prot͡s︡essov v APK. Agropromizdat, 1985.

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Galluzzo, Nicola. Applicazione di modelli quantitativi per l'analisi della geografia agraria italiana e per l'interpretazione della specializzazione produttiva territoriale. Aracne, 2009.

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Conway, Roger K. The structure of agricultural investment: Comparing a flexible accelerator with stochastic coefficients. U.S. Dept. of Agriculture, Economic Research Service, 1985.

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Thornley, J. H. M. Mathematical models in agriculture: Quantitative methods for the plant, animal and ecological sciences. 2nd ed. CABI Pub., 2004.

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J, McDonald Bradley, and United States. Dept. of Agriculture. Economic Research Service. Agriculture and Trade Analysis Division., eds. A Global analysis of energy prices and agriculture. U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Book chapters on the topic "Agricultural industries Mathematical models"

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Weintraub, Andrés. "Using Mathematical Models in the Management of Forest Industries." In Applied Decision Analysis. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-0759-6_7.

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Ereshko, F., V. Lebedev, and K. Parikh. "Agricultural Planning Models for Stavropol Region: Mathematical Description and Simulation Strategies." In Sustainable Development of Agriculture. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-017-3185-0_3.

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Ikeda, Kazushi, and Takatomi Kubo. "Machine Learning Approach to Mobility Analyses." In Advanced Mathematical Science for Mobility Society. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9772-5_6.

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AbstractMachine learning techniques are based on stochastic models associated with parameter estimation from massive data. They have been applied to scientific fields as well as industries, including mobility analyses. In this chapter, we introduce several machine learning techniques for mobility analyses, that is, techniques to track agents in a video, to extract the relationship among agents, and to analyze graphs, especially focusing on multi-animal behavior analyses.
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Zeman, E., and J. Spatka. "Evaluation of Impacts of Control Measures, Applied in the Source Catchments, by Mathematical Models." In Advances in Urban Stormwater and Agricultural Runoff Source Controls. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0532-6_16.

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Zongo, Pascal, and Catherine Beaumont. "A Reaction–Diffusion Model for Salmonella Transmission Within an Industrial Hens House with Distributed Resistance to Salmonella Carrier State." In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77704-3_8.

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Haqiqi, Iman. "SIMPLE-G Model Specification: Mathematical Equations in a Multiscale Market Equilibrium Model." In SIMPLE-G. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68054-0_5.

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AbstractThis chapter introduces the mathematical representations for multisystem and multiscale sustainability analyses focusing on supply and demand in food and agricultural markets at different scales. Within a computable multiscale modeling framework like SIMPLE-G, the supply and demand equations are derived based on production, trade, or food consumption theories. For each of the five successively more complex models, agricultural inputs are either environmental resources (e.g., land and water) or manufactured and human inputs (e.g., fertilizer and labor). The degree of complexity in SIMPL
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Ramya, Ravi, Chandrasekharan Rajendran, Hans Ziegler, Sanjay Mohapatra, and K. Ganesh. "Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover Across Periods Assuming Sequence-Dependent Setup Times and Setup Costs (CLSP-SD-PCSC): Mathematical Models for Process Industries." In Capacitated Lot Sizing Problems in Process Industries. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01222-9_5.

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Chen, Cuixia, Haixia Wang, Qiushi Luo, Zhichao Wen, Junxiu Liu, and Tiange Wang. "Study on Joint Regulation of Runoff and Sediment of Water Supply Reservoirs in Sediment-Laden River Dongzhuang Reservoir of Jinghe River." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7251-3_19.

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AbstractThere is independence and integration between water supply and sediment reduction in sediment-laden river reservoirs. How to maintain effective storage capacity and meet water supply requirements for a long time is one of the problems to be solved in the efficient operation of sediment-laden river reservoirs. In this paper, Dongzhuang Reservoir of Jinghe River is taken as the research object. Through the analysis of measured data and mathematical model calculation, the measured hydrological sediment and cross-section erosion and deposition in the lower reaches of Jinghe River and Weihe
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Nepal, Prakash, Joseph Buongiorno, Craig M. T. Johnston, Jeffrey Prestemon, and Jing-gang Guo. "Global forest products trade model." In International trade in forest products: lumber trade disputes, models and examples. CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0110.

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Abstract This chapter introduces the Global Forest Products Model (GFPM). The general model structure and the mathematical formulation of the GFPM are provided and key differences and similarities to the modeling approaches developed in the previous chapters are highlighted. The usefulness of the GFPM as a forest sector tool for policy analysis is illustrated by summarizing its applications in a wide array of past and ongoing studies. These studies are summarized under four representative groups: (i) forest sector outlook studies; (ii) studies evaluating the consequences of tariff and non-tari
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Nepal, Prakash, Joseph Buongiorno, Craig M. T. Johnston, Jeffrey Prestemon, and Jing-gang Guo. "Global forest products trade model." In International trade in forest products: lumber trade disputes, models and examples. CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0006.

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Abstract This chapter introduces the Global Forest Products Model (GFPM). The general model structure and the mathematical formulation of the GFPM are provided and key differences and similarities to the modeling approaches developed in the previous chapters are highlighted. The usefulness of the GFPM as a forest sector tool for policy analysis is illustrated by summarizing its applications in a wide array of past and ongoing studies. These studies are summarized under four representative groups: (i) forest sector outlook studies; (ii) studies evaluating the consequences of tariff and non-tari
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Conference papers on the topic "Agricultural industries Mathematical models"

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Habib, K. "Correlation between Electrochemical and Optical Techniques During Anodization of Aluminium Alloys." In CORROSION 2007. NACE International, 2007. https://doi.org/10.5006/c2007-07384.

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Abstract In the present investigation, holographic interferometry was utilized for the first time to measure in situ the thickness of the oxide film, Alternating Current (A.C.) impedance and double layer capacitance of aluminium samples during anodization processes in aqueous solution without any physical contact. The anodization process (oxidation) of the aluminium samples was carried out by the Electrochemical Impedance Spectroscopy (EIS), in different concentrations of sulphuric acid (1.0-2.5 % H2SO4) at room temperature. In the mean time, the real-time holographic interferometry was used t
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Gulin, S. V., and A. G. Pirkin. "FEATURES OF BUSINESS-PROCESSES IN THE CREATION OF ELECTROTECHNOLOGICAL SYSTEMS FOR THE AGRICULTURAL INDUSTRIAL COMPLEX." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.357-362.

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This article offers a universal methodology for the design, creation and operation of complex electrotechnological systems. This methodology is based on a system-process approach to business modeling. The article provides a detailed description of all private business processes that provide a full cycle of business engineering, and offers a General mathematical expression for a comprehensive assessment of the effectiveness of the business engineering process. The proposed methodology has been tested on the example of designing, creating and operating vegetation climate systems (VCS). This exam
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Pukhov, E. V., V. A. Sledchenko, E. Yu Dorokhova, S. S. Meshkova, and S. S. Kochkin. "Development of a mathematical model for forecasting resource supply of agricultural crops at enterprises." In INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0107528.

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Vozmilov, A. G., T. R. Gallyamova, and V. G. Baltachev. "Mathematical Model of Diffuse Reflection Light of Materials Used In Agriculture." In 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2020. http://dx.doi.org/10.1109/icieam48468.2020.9112031.

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Timirgaleeva, R. R., and I. Yu Grishin. "CONCEPTUAL MODEL OF MANAGEMENT OF DIGITAL TRANSFORMATION OF AN AGRICULTURAL INDUSTRIAL CLUSTER." In Digital transformation in industry: trends, management, strategies. Institute of Economics of the Ural Brach of Russian Academy of Sciences, 2023. http://dx.doi.org/10.17059/dti-2023-11.

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The modern agricultural sector is characterized by highly dynamic economic processes caused by the active development of information and communication technologies and increased competition. To ensure economic development and competitiveness of agro-industrial production in the digital economy, scientifically-based results are needed that illustrate the advantages of such structures and stimulate agro-industrial farms for digital transformation. The goal is to develop a concept for the formation of a model for managing the digital transformation of an agro-industrial cluster, reflecting a set
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El-Borai, Mahmoud, Wagdy G. El-sayed, and Zeinab Hasanyn. "A mathematical model of the impact of agriculture and industrial development on Egypt's sustainable development." In International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2022), edited by Lazim Abdullah and Norma bt Alias. SPIE, 2023. http://dx.doi.org/10.1117/12.2675626.

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Mikhailenko, I. M., and V. D. Malygin. "Real-time agricultural technology management." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-124.

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In this paper, we consider the task of real-time control of agricultural technologies, using which the optimal control programs are refined by the fact that the real values of the meteorological parameters deviate from the calculated values; disturbances in the parameters of all the mathematical models used are compensated. The most important real-time control function is the spatial correction of control programs according to the actual state of crops and soil environment estimated according to the data of remote sensing of the Earth.
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Afshari, Hamid, Romain Farel, Jean-Paul Gourlia, and Qingjin Peng. "Energy Symbioses in Eco-Industrial Parks: Models and Perspectives." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59965.

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Design and implementation of Eco-Industrial Parks (EIPs) is a practical and scientific solution to achieve sustainable industries. Specifically, energy exchange networks can significantly contribute to the pollution reduction by recovering and sharing wasted heat generated in industrial processes. Despite this perceived fact, the existing research seems mainly looking for one to one relation and lacks in methods for modeling and optimizing multi-synergy symbioses that is essential for EIPs. This paper reviews main concepts in designing industrial symbioses and proposes an optimization model to
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Zhang, Yanfang. "Research on the Application of Big Data Technology in the Simulation Design of Mathematical Models for Agricultural Economic Analysis." In 2023 International Conference on Data Science & Informatics (ICDSI). IEEE, 2023. http://dx.doi.org/10.1109/icdsi60108.2023.00014.

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Petru, Cardei, Oprescu Remus Marius, Muraru Vergil, Muraru Sebastian, and Muraru-Ionel Cornelia. "PERIODIC DRAFT TILLAGE FORCES IN SOIL WORKING PROCESSES OF AGRICULTURAL EQUIPMENT." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b1/v3/38.

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The article presents results of the mathematical modelling of the tensile strength for equipment for opening and compartmentalizing watering furrows. This agricultural machine develops a less common traction force, with two components, one of which with oscillates behavior. The mathematical model given in the paper provides calculation formulas for the static component and for the dynamic component. Model constants are used to calibrate the model using existing experimental data for this type of machine. The paper it is specified the dynamics problems of agricultural machines in which such mod
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Reports on the topic "Agricultural industries Mathematical models"

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Głąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.

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The project aims to develop a prototype device for determining the texture of soils and mineral deposits. The innovation of the designed solution consists in a significant reduction in the time of composition analysis with the possibility of any division into granulometric groups and the complete automation of the measurement from the moment the sample is introduced into the apparatus until the result is obtained. As part of the project, industrial research and experimental development are planned to be divided into the following stages: 1. Development of the measuring system. 2. Development o
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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transp
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Finkelshtain, Israel, and Tigran Melkonyan. The economics of contracts in the US and Israel agricultures. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695590.bard.

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Research Objectives 1) Reviewing the rich economic literature on contracting and agricultural contracting; 2) Conducting a descriptive comparative study of actual contracting patterns in the U.S. and Israeli agricultural sectors; 3) Theoretical analysis of division of assets ownership, authority allocation and incentives in agricultural production contracts; 4) Theoretical analysis of strategic noncompetitive choice of agricultural production and marketing contracts, 5) Empirical studies of contracting in agricultural sectors of US and Israel, among them the broiler industry, the citrus indust
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Ampatzidis, Yiannis, Mahendra Bhandari, Andres Ferreyra, et al. AI in Agriculture: Opportunities, Challenges, and Recommendations. Chair Alex Thomasson. Council for Agricultural Science and Technology, 2025. https://doi.org/10.62300/iaag042514.

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Artificial Intelligence (AI) is rapidly being integrated into people’s lives, reshaping industries, and enabling previously unimagined innovation, even in agriculture. Generative AI focuses on creating content like text and pictures based on vast quantities of data. ExtensionBot is a generative AI platform that supports agricultural extension by providing farmers with accurate scientific information and specific recommendations. It has been shown to deliver more accurate responses to agricultural questions than broader generative AI models. Other forms of AI have been used to analyze data to p
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