Relevant bibliographies by topics / Agricultural industries Mathematical models

Academic literature on the topic 'Agricultural industries Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Agricultural industries Mathematical models"

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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 (January 3, 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 optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.
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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 (December 3, 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 choice of independent factors. The study was based on the economic and mathematical modeling of empirical spatial data, calculated on the basis of official statistical information on the regions of the Russian Federation. The conducted research permitted to identify factors, which directly determined the volumes of production in agriculture, to propose the use of high-quality correlation models to describe this effect, to prove that the economies of the examined regions did not reach saturation with agricultural products and there were significant reserves for their further development. The developed correlation models are effective tools for analyzing the development of the industry, and can also be used as management tools that allow for the assessment of the effectiveness of the use of the made investments, as well as the commissioning of fixed assets in the agriculture of each of the examined regions. The results of the research are of scientific and practical importance. They can be used in research and monitoring of agricultural development in the regions, determining the resource requirements, which are necessary for the development of agricultural industries, as well as the development of sectoral and integrated projects and agricultural development programs.
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Khudyakova, Elena Viktorovna, Mikhail Nikanorov, and Vasilij Vladimirovich Butyrin. "Problems of analysis and forecasting of the level of technical equipment of agricultural enterprises (on the example of the Ryazan region)." Buhuchet v sel'skom hozjajstve (Accounting in Agriculture), no. 2 (February 1, 2021): 69–77. http://dx.doi.org/10.33920/sel-11-2102-07.

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Currently, the level of technical equipment of agricultural enterprises in the Russian Federation remains at a low level. On average, tractor availability in the country is 2–3 times less than in Kazakhstan and Belarus, and 20–30 times lower than in Western Europe and the United States. At the same time, agricultural production is faced with the task of achieving the level defined by the Food Security Doctrine in a number of industries, and increasing exports in a number of industries (production of cereals and industrial crops). In the Ryazan region, there is an appropriate resource potential for solving these problems. But the main factor constraining the increase in production is the insufficient development of the material and technical base. The dynamics of the number of major types of equipment over the past 10 years remains negative. At the same time, the region has a State program of the Ryazan region “Development of the agro-industrial complex until 2025”, which provides for a number of measures to maintain the level of technical equipment of agriculture. In this regard, the issue of scientific justification of the required amount of equipment and forecasting for the near future becomes relevant. On the regional scale, this is a difficult task, since traditional forecasting methods are not fully suitable for solving this problem due to the wide variety of production conditions in farms — soil fertility, climatic conditions, economic situation, specialization, etc. Therefore, we propose a method for determining the required amount of equipment and the amount of investment, based on the allocation of cluster groups and, then, the development of economic and mathematical models for the use of machine and tractor fleet for typical farms of each cluster group. This article analyzes the level of technical equipment of agriculture in the Ryazan region and identifies cluster groups of farms.
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Zamotajlova, D. A., E. V. Popova, E. V. Khudyakova, and M. N. Stepantsevich. "The entomophages use for crop protection: ecological and economic-mathematical modeling and forecasting." IOP Conference Series: Earth and Environmental Science 1069, no. 1 (August 1, 2022): 012047. http://dx.doi.org/10.1088/1755-1315/1069/1/012047.

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Abstract The need for digital support of decisions taken in agriculture is a prerequisite for this industry transformation and development. One of the main directions in solving these issues is the use of end-to-end technologies, as well as convenient and effective economic and mathematical tools. In this regard, research in the development of economic and mathematical models and decision support tools, analysis and forecasting for the agro-industrial complex is relevant. In addition to supporting agriculture in general, attention should be paid to addressing issues of improving the efficiency of agricultural activities themselves; new effective methods and approaches introduction is of particular importance in this issue, the use of which will increase the industry attractiveness, promote import substitution, improve the quality of agricultural products, etc. The agricultural pests entomophages natural complexes use can be considered as one of the approaches to improving the “purity” of agricultural products due to the rejection (complete or partial) of chemical plant protection products. This underlines the necessity and relevance of creating a comprehensive software and mathematical tools for analyzing and predicting the dynamics of pest and entomophage populations, including allowing to consider possible economic effects.
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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 them makes it virtually impossible for the human mind to assess accurately the consequences of alternative management strategies on either the efficiency of production or the long-term profitability of a livestock enterprise. By transforming the concepts and knowledge into mathematical equations and integrating them in computer programs using simulation modelling techniques, this vast store of information can be applied directly to improving the management of commercial animal enterprises. Models are also valuable for defining research priorities. These simulation models should, as far as possible, be based on descriptions of the mechanisms perceived to determine animal function, not on empirical relationships of correlation and association. This need for mechanistic models has major implications for the direction and nature of future research into animal function. Mechanistic models of animal performance alone are unlikely to result in the widespread application of knowledge to the animal industries. Models must be integrated with other modules that cover the major areas of an enterprise determining its profitability, as well as with programming features that make the whole Decision Support Software System easy to use and interpret by industry personnel. The animal model is likely to represent less than 20% of a commercially useful package. A major factor limiting the application of animal growth models is lack of an adequate description of the conditions within commercial enterprises. Collection of such data is difficult and frequently regarded as unattractive by scientists and funding organisations, but it is essential for effective application of existing knowledge through simulation models. Furthermore, industry must make frequent measurements of factors determining animal performance and enterprise profitability if the significance of predictions from animal models is to be evaluated fully. An example is presented illustrating how simulation models can improve the biological efficiency and profitability of a commercial animal enterprise when this information is available.
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Okhten, Oleksiy, and Аlla Dasiv. "Economic and mathematical modeling of long-term development of national industry in the conditions of digitalization with the use of a production function." Economy of Industry 4, no. 96 (November 25, 2021): 5–20. http://dx.doi.org/10.15407/econindustry2021.04.005.

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The article substantiates the expediency of modeling the development of national industry taking into account how the main interconnected key sectors of Ukrainian economy (not only processing and extractive industries, but also agriculture) are developing, as well as taking into account the factors that cause changes in this development over time. Based on previous researches, multiplicative production function has been chosen as the base for building the model, which was modified by taking into account the peculiarities of the Fourth Industrial Revolution and the specifics of individual industries in Ukraine. The economic-mathematical model of long-term development of specified branches of economy of Ukraine in the conditions of digitalization was proposed, in which the value added in the branch is the dependent variable, and the classic components of production functions (labor and the capital) are the independent variables, as well as the new factor – digitalization, and factors, specific to individual industries (world food price index for agriculture and world raw material price index for the extractive industry). A specific feature of the model is also the use of correction factors that reflect the change in the return of factors over time and increase the accuracy of calculations. In addition, separate models have been developed to calculate each of the main factors, based on the dynamics of investments, taking into account the recursive influence of value added, propensity to invest, the condition of the world economy and other specific factors. The calculation of value added in agriculture, extractive and processing industries of Ukraine in 2010-2019 was performed using the model. The adequacy of the model was validated based on the results of its parameterization, which showed sufficient accuracy for the implementation on practice, as the average absolute error of approximation ranges from 2.94% to 4.14% depending on the industry, with abnormal 2014-2015 excluded from the calculations. The value of GDP in the country as a whole was calculated on the basis of the results of value added calculations by key industries. Taking into account the fact that the proposed set of models does not include all industries, a regression model was used to calculate GDP, to which value added for the identified key industries was used as factor. It is established that the proposed model is quite accurate and can be used to calculate the GDP of Ukraine on the basis of value added calculations in agriculture, extractive and processing industries. Given the prospects of practical use of the model for management decisions, the elasticity of the main driving factor (investments) of the development of individual industries was assessed for the main variables, which, in particular, showed that the exchange rate of hryvnia to the US dollar has a negative impact on investments, and the most pronounced – on investments in fixed assets of the processing industry. This questions the widespread idea that the devaluation of the hryvnia stimulates domestic production.
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Zhou, Yufei, and Sha Hua. "Recommendation of Business Models for Agriculture-Related Platforms Based on Deep Learning." Computational Intelligence and Neuroscience 2022 (July 11, 2022): 1–5. http://dx.doi.org/10.1155/2022/7330078.

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Agriculture is a basic and pillar industry. With the integration and development of Internet+, platform economy, and various industries, the business model of agriculture-related platforms is also constantly innovating. In this context, it is necessary to recommend suitable business models for different types of agriculture-related platforms. Based on the characteristics of agriculture-related platforms and various business models, this paper proposes a business model recommendation algorithm based on radial basis function neural network (RBFNN). This method trains the RBFNN model with the goal of maximizing the correlation between agricultural-related platforms and business models. In the application stage, for a specific agriculture-related platform, after inputting its characteristic parameters, a suitable business model can be recommended. In the experiment, the proposed method is tested and verified with relevant data, and the results show the effectiveness of the method.
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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 intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.
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Tkachenko, V. V., L. O. Velikanova, and N. A. Tkachenko. "Development of an automated information system for calculating the break-even nitrogen balance in field crop rotations." IOP Conference Series: Earth and Environmental Science 1069, no. 1 (August 1, 2022): 012046. http://dx.doi.org/10.1088/1755-1315/1069/1/012046.

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Abstract The problems of crop production management and support for managerial decision-making are still relevant today [4]. Crop production is of strategic importance and is the basis of our country food security. The use of information technology in agriculture was limited to the use of computers and software, mainly for managing financial transactions and maintaining accounting and operational records. It should be noted that the measures taken to increase labor productivity and automate technological processes in the agro-industrial complex did not have a comprehensive nature, therefore, they did not significantly affect the industry efficiency and, as the result, the products competitiveness. Therefore, the computer decision support system development and implementation in the management of crop production technological processes, based on mathematical models for analyzing and assessing the economic efficiency of technologies for cultivating crops, models for rationalizing crop rotation, models for analyzing data from the crop rotation fields history book, models for the optimal selection of plant protection products and fertilizers acquired very topical. This research project can be considered a priority and highly demanded, as contributing to the fulfillment of one of the requirements of the State Program for the Agriculture Development and Agricultural Products, Raw Materials and Foods Markets Regulation of the Russian Federation for 2013-2020. The goal of the project is to improve mathematical models and methods for managing technological processes at agricultural enterprises by developing and implementing an integrated automated information system for crop management. The article is devoted to the theoretical substantiation and feasibility of the software module practical implementation for solving the problem of planning and calculating the organic and mineral fertilizers dosages in farms’ field crop rotations in the Krasnodar Territory, which is part of the developed integrated automated information system for crop management at agricultural enterprises.
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Wang, Ning Na, and Qin Lin Zhou. "Mathematical Models for Predicting and Managing Water Resources — The Case of China in 2025." Applied Mechanics and Materials 448-453 (October 2013): 995–1001. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.995.

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An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.
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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 model of furrow irrigation, SRFR. Comparison of measured advance times, water surface elevations and volume of water infiltrated with these values computed by SRFR indicates that SRFR gives consistent results based on the input parameters.
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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.
Events for the years 1978 to 1982 were simulated, to compare the runoff characteristics between 20 ha, clay loam, surface-drained and subsurface-drained fields. Further simulations were conducted to examine the hydrologic effects of wide-spaced, deep, parallel field ditches.
Hydrographs for the one-in-200-year storm were also simulated. All of the simulations confirmed that the peak flow rate on the subsurface-drained field was less than that of the surface-drained field. Longer times to peak and lag times occurred on the subsurface-drained field.
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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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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 participants are assumed to price land using present value methods. At the market level this yields a reduced form expression of equilibrium price determination which can be estimated empirically using aggregate data for England and Wales. The concepts of error correction and cointegration are then investigated and applied to the land price model. A unique long run relationship is identified between real agricultural land prices, inflation and real agricultural rents. Taking account of inflation-hedging as a motivation for acquiring farmland, land prices are shown to be principally determined by the returns to land, as embodied by market rents. The empirical model is also congruent with theoretical predictions regarding the unit elasticity between asset prices and returns. The error correction representation of the cointegrating set indicates that the short run response of land prices to rent and inflation is larger than the long run response. Consequently, land prices initially overshoot their equilibrium values following changes in rents or inflation. The period of adjustment to long run equilibrium lasts around three or fours years. The long run real rate of discount on agricultural land is estimated at 3.6% confirming the widely held belief that real rates of return on farmland are low. Present value models incorporating naive, adaptive and rational expectations are also estimated and the adaptive model is favoured by the data.
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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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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 bypassing flow in the soil macropores and horizontal flux between the soil matrix and the macropores, and surface runoff. Nutrient movement occurs by mass flow. Heat flow, nutrient biochemical transformations, and crop growth are determined by using well established relations. Field tests were carried out for a period of two years on an experimental site in the Lower Fraser Valley of British Columbia. The water table depth was measured on a continuous basis. Grab samples of drainwater and observation wells were obtained periodically and analyzed for nitrogen (N0₃-N, NH₄-N, and TKN) and phosphorus (P0₄-P and TP). The field results show a decrease in the concentration of all nutrients over the sampling period, and provide evidence that denitrification and bypassing flow are important mechanisms affecting the nutrient balance of this soil. These results were used to calibrate the model. An excellent fit of the observed water table profile and an adequate fit of the observed drain concentration of nitrate were obtained. The simulation revealed that bypassing flow is a very important transfer mechanism in this soil and must be included in order to obtain a satisfactory fit of the experimental data. A sensitivity analysis of the model showed that the patterns of moisture flow have a predominant influence on the rate of nutrient leaching. In particular, it was found that the nutrient concentration in drain water is a strong function of the hydraulic conductivity of the soil matrix and of the horizontal distance between the soil macropores, which control the ratio of moisture flow in the soil matrix to the macropore flow and the lateral diffusion of nutrients between the soil matrix and the macropores. The effects of four different drainage designs on nutrient losses were simulated over a period of two years for three different soils and two different nutrient distributions in the soil. It was found that there is a large difference between the amount of nutrients leached from drainage systems using different drainage coefficients. There was also a large difference in the response of two drainage designs based on the same drainage coefficient but using different depth and spacing of drains. Transient effects, as determined by the initial vertical distribution of the nutrients, were seen to remain dominant over the two year duration of the simulation. The model was found to be useful in explaining the apparent contradictions found in the literature assessing the effects of subsurface drainage on nutrient losses. The results from the model show these effects to be strongly site and condition specific. Furthermore, the model shows that soils and drainage designs that produce similar volumes of drain flow may exhibit very different leaching responses, and that drainage designs equivalent from a hydraulic standpoint can be very dissimilar in their potential for leaching nutrients. The model provides a tool which can be used to determine the appropriateness of different drainage designs in soils where minimizing nutrient losses is critical.
Science, Faculty of
Resources, Environment and Sustainability (IRES), Institute for
Graduate
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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 conducted over microplots over an open field, and (ii) single point source SF6 release experiments conducted over a forested terrain. Best predictions of the source strength (to within +/-20%) were obtained from concentration observations made along the centreline of the diffusing plumes with the predictions improving when observations at the mean plume height were used. The diffusion model was then used to compute footprint estimates for neutral and unstable conditions, for tower and aircraft based observation platforms above the forest. They showed spatially constrained footprints in the surface layer, due to effective vertical coupling, so that observations from towers and low flying aircraft must be expected to be very site specific, and scaling up to larger areas will have to be done with careful consideration of surface mosaics. Above-canopy sampling of trace gases to determine volatile organic compound emissions were then interpreted in terms of footprint considerations. This was accomplished by defining the upwind canopy areas effectively sampled under the given wind and stability conditions. The analysis demonstrated, for example, that the variability observed in measured isoprene fluxes could be accounted for by varying numbers of randomly distributed clumps of emitter species within a varying footprint. It suggested that heterogeneity of the forest canopy, in ter
Sulphur hexafluoride was also used as an atmospheric tracer in order to estimate CH4 emissions from manure slurry and cattle housed in barns and feedlots. (Abstract shortened by UMI.)
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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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Tochilin, Viktor Aleksandrovich. Ėkonomiko-matematicheskiĭ analiz razvitii͡a︡ regionalʹnykh agropromyshlennykh formirovaniĭ. Kiev: Nauk. dumka, 1991.

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Kuznet︠s︡ov, Vladimir Vasilʹevich. Modeli ėkonomicheskogo planirovanii︠a︡ razvitii︠a︡ APK. Rostov-na-Donu: VNII ėkonomiki i normativov, 2005.

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

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Nong ye chan ye lian wen ding ji zhi yan jiu: A study on the mechanisms of stable agricultural industry chain. Beijing Shi: Zhongguo nong ye chu ban she, 2011.

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Efimovich, Ilʹi͡ushonok Semen, and Rozin Bent͡sian Borisovich, eds. Modelirovanie i optimizat͡sii͡a razvitii͡a agrarno-promyshlennykh obrazovaniĭ. Novosibirsk: Izd-vo "Nauka," Sibirskoe otd-nie, 1985.

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G, Kiselev V., ed. Zadacha razmeshchenii͡a︡ selʹskokhozi͡a︡ĭstvennogo proizvodstva v obʺedinenii khozi͡a︡ĭstv meliorativnoĭ sistemy. Moskva: Akademii͡a︡ nauk SSSR, Vychislitelʹnyĭ t͡s︡entr, 1985.

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Pasternak, P. P. Sistemnoe modelirovanie ėkonomicheskikh prot͡s︡essov v APK. Moskva: 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. Roma: Aracne, 2009.

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

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Argentina) Taller Internacional "La Modelización el el Sector Agropecuario" (2001 Buenos Aires. Modelización económica en el sector agropecuario. Edited by Vicién Carmen and Pena Susana. Buenos Aires, Argentina: Orientación Gráfica, 2002.

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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, 85–97. Dordrecht: 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, 39–58. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-017-3185-0_3.

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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, 181–94. Dordrecht: 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, 155–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77704-3_8.

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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, 131–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01222-9_5.

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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, 110–41. Wallingford: 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-tariff barriers on the international trade of forest products; (iii) studies projecting the impacts of climate change and forest-based climate change mitigation strategies on forests and forest industries; and (iv) other studies dealing with other important questions, such as the effects of the rise in global planted forest area, illegal harvests, and invasive species. Some of the limitations of GFPM, ways to mitigate these limitations, and its overall usefulness as a forest sector policy analysis tool are also examined.
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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, 110–41. Wallingford: 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-tariff barriers on the international trade of forest products; (iii) studies projecting the impacts of climate change and forest-based climate change mitigation strategies on forests and forest industries; and (iv) other studies dealing with other important questions, such as the effects of the rise in global planted forest area, illegal harvests, and invasive species. Some of the limitations of GFPM, ways to mitigate these limitations, and its overall usefulness as a forest sector policy analysis tool are also examined.
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Erdoğdu, Ferruh. "Mathematical Models: Food Processing Simulation." In Encyclopedia of Agricultural, Food, and Biological Engineering, Second Edition, 1005–7. CRC Press, 2010. http://dx.doi.org/10.1081/e-eafe2-120045374.

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Vohnout, Karel D. "Stochastic Models of Systems." In Mathematical Modeling for System Analysis in Agricultural Research, 222–58. Elsevier, 2003. http://dx.doi.org/10.1016/b978-044451268-0/50008-9.

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Vohnout, Karel D. "Deterministic Models of Discrete Systems." In Mathematical Modeling for System Analysis in Agricultural Research, 259–94. Elsevier, 2003. http://dx.doi.org/10.1016/b978-044451268-0/50009-0.

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Conference papers on the topic "Agricultural industries Mathematical models"

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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 example shows that it is possible to conduct quite serious scientific research at the intersection of plant physiology and electric power engineering, which allows us to create modern self-adjusting systems for automatic microclimate control when growing plants. Application of engineering methods allows to increase the efficiency of development of information systems for automatic control of parameters of the most important physiological processes (photosynthesis, transpiration, etc.) in plants under the influence of environmental factors. The article outlines the prospects for the development of the subject area of engineering in the direction of solving specific problems to integrated energy engineering, and the energy business - from trading individual services to trading models and technologies.
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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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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 exchange the residual energy between individual industries in an EIP. Using mathematical programming, the model decides the best set of connections between energy suppliers and users to minimize the total cost and maximize energy symbioses. The presented models analyze perspectives to potential symbioses for individual industries and EIP managers. A detailed discussion clarifies how these perspectives can affect the optimized symbioses. The model is validated using anonymized data of a real case. The result shows that various perspectives to the model provide different energy network topographies.
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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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Ferrolino, Angelie Reandelar, and Victoria May Paguio Mendoza. "Generalized sensitivity analysis applied to vascular refilling models." In PROCEEDINGS OF THE 8TH SEAMS-UGM INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS 2019: Deepening Mathematical Concepts for Wider Application through Multidisciplinary Research and Industries Collaborations. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5139154.

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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 models are needed
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Lisienkova, T. S., and E. A. Isaev. "Analysis of business processes of agricultural enterprises for the implementation of IT innovations." 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/10.33952/2542-0720-2020-5-9-10-135.

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This article touches upon digital transformation in agriculture. Firstly, classification of core business processes of agriculture is presented with examples of primary and support business processes at animal breeding farms. Later the article gives an overview of innovative information technologies used nowadays in agriculture worldwide. Finally, it is justified that for the successful digital transformation it is vital to evaluate current IT-maturity level of business processes in order to fix their “bottlenecks” before the implementation of innovative information technologies. While common models of IT-maturity, level does not take into account features of specific industries, it is necessary to develop a stand-alone model for agricultural companies.
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Zhirov, N. "Demographic Processes in the Transition Zone from Industrial to Agricultural Provinces in the Central Russia at the Beginning of the 20th Century (On the Example of Oryol and Kaluga Provinces)." In XIII Ural Demographic Forum. Global challenges to demographic development. Institute of Economics of the Ural Branch of RAS, 2022. http://dx.doi.org/10.17059/udf-2022-1-8.

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The article analyses the main demographic processes, namely, fertility, mortality, natural population growth and marriage on the example of Oryol and Kaluga provinces of the Central Russia. It is hypothesised that the provinces were in the transition zone from an industrial zone to a typically agricultural one; as a result, they could combine different variants of demographic behaviour of the population. The paper aims to study the peculiarities of demographic processes at the micro- (individual Orthodox parishes and settlements) and meso-levels (counties and provinces as a whole). Methods of mathematical statistics, as well as traditional methods of humanitarian research were used. Primary parish statistics (metric books), as well as surveys of provinces and other demographic studies were taken as the main source. It was concluded that the population of the studied provinces at the beginning of the 20th century has entered the zone of demographic transition from the traditional model of population re-production to the modern one. This process was considered in detail at the «grassroots level» based on the microdemographic analysis of individual Orthodox parishes.
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Karelin, Vadim, and Vladimir Salomatov. "MATHEMATICAL MODELING OF MICROWAVE HEATING OF BALL-SHAPED PRODUCTS." In Ampere 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/ampere2019.2019.9842.

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Microwave heating is widely used in the energy, construction, forestry, chemical and food industries, etc. There are many publications that discuss the main mechanisms that occur during microwave heating. For a better understanding of these processes and the development of high-performance microwave installations, mathematical modeling is necessary. As a rule, nonlinear models that most adequately describe these phenomena use a numerical algorithm for calculations. The authors of this report are engaged in approximate analytical approaches for microwave heating and microwave drying of bodies, which, with a controlled decrease in accuracy, nevertheless allow you to display the main processes and evaluate such heating and drying parameters as: temperature and moisture distribution, heating time, drying speed, reaching maximum values, etc. In this work, we consider a model of microwave heating in the form of a ball with uniform irradiation of microwave energy in the conditions of radiation-convective interaction of the product with the environment. The absorption of the microwave inside the material is given by the law of the Bouguer. In this case, a number of simplifications were made: the electrophysical and thermophysical properties of the material are constant, the material is homogeneous in composition and properties.
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Reports on the topic "Agricultural industries Mathematical models"

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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, October 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 transport techniques for different crops and structure types. All the objectives have been successfully addressed. The study was focused on both screenhouses and naturally ventilated greenhouses, and all proposed methods were examined. Background to the topic Our previous BARD project established that the eddy covariance (EC) technique is suitable for whole canopy evapotranspiration measurements in large agricultural screenhouses. Nevertheless, the eddy covariance technique remains difficult to apply in the farm due to costs, operational complexity, and post-processing of data – thereby inviting alternative techniques to be developed. The subject of this project was: 1) the evaluation of four turbulent transport (TT) techniques, namely, Surface Renewal (SR), Flux-Variance (FV), Half-order Time Derivative (HTD) and Bowen Ratio (BR), whose instrumentation needs and operational demands are not as elaborate as the EC, to estimate evapotranspiration within large agricultural structures; and 2) the development of mathematical models able to predict water savings and account for the external environmental conditions, physiological properties of the plant, and structure properties as well as to evaluate the necessary micrometeorological conditions for utilizing the above turbulent transfer methods in such protected environments. Major conclusions and achievements The major conclusions are: (i) the SR and FV techniques were suitable for reliable estimates of ET in shading and insect-proof screenhouses; (ii) The BR technique was reliable in shading screenhouses; (iii) HTD provided reasonable results in the shading and insect proof screenhouses; (iv) Quality control analysis of the EC method showed that conditions in the shading and insect proof screenhouses were reasonable for flux measurements. However, in the plastic covered greenhouse energy balance closure was poor. Therefore, the alternative methods could not be analyzed in the greenhouse; (v) A multi-layered flux footprint model was developed for a ‘generic’ crop canopy situated within a protected environment such as a large screenhouse. The new model accounts for the vertically distributed sources and sinks within the canopy volume as well as for modifications introduced by the screen on the flow field and microenvironment. The effect of the screen on fetch as a function of its relative height above the canopy is then studied for the first time and compared to the case where the screen is absent. The model calculations agreed with field experiments based on EC measurements from two screenhouse experiments. Implications, both scientific and agricultural The study established for the first time, both experimentally and theoretically, the use of four simple TT techniques for ET estimates within large agricultural screenhouses. Such measurements, along with reliable theoretical models, will enable the future development of lowcost ET monitoring system which will be attainable for day-to-day use by growers in improving irrigation management.
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Finkelshtain, Israel, and Tigran Melkonyan. The economics of contracts in the US and Israel agricultures. United States Department of Agriculture, February 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 industry and sugar beet sector. Background Recent decades have witnessed a world-wide increase in the use of agricultural contracts. In both the U.S. and Israel, contracts have become an integral part of production and marketing of many crops, fruits, vegetables and livestock commodities. The increased use of agricultural contracts raises a number of important economic policy questions regarding the optimal design of contracts and their determinants. Even though economists have made a substantial progress in understanding these issues, the theory of contracts and an empirical methodology to analyze contracts are still evolving. Moreover, there is an enormous need for empirical research of contractual relationships. Conclusions In both U.S. and Israel, contracts have become an integral part of production and marketing of many agricultural commodities. In the U.S. more than 40% of the value of agricultural production occurred under either marketing or production contracts. The use of agricultural contracts in Israel is also ubiquitous and reaches close to 60% of the value of agricultural production. In Israel we have found strategic considerations to play a dominant role in the choice of agricultural contracts and may lead to noncompetitive conduct and reduced welfare. In particular, the driving force, leading to consignment based contracts is the strategic effect. Moreover, an increase in the number of contractors will lead to changes in the terms of the contract, an increased competition and payment to farmers and economic surplus. We found that while large integrations lead to more efficient production, they also exploit local monopsonistic power. For the U.S, we have studied in more detail the choice of contract type and factors that affect contracts such as the level of informational asymmetry, the authority structure, and the available quality measurement technology. We have found that assets ownership and decision rights are complements of high-powered incentives. We have also found that the optimal allocation of decision rights, asset ownership and incentives is influenced by: variance of systemic and idiosyncratic shocks, importance (variance) of the parties’ private information, parameters of the production technology, the extent of competition in the upstream and downstream industries. Implications The primary implication of this project is that the use of agricultural production and marketing contracts is growing in both the US and Israeli agricultural sectors, while many important economic policy questions are still open and require further theoretical and empirical research. Moreover, actual contracts that are prevailing in various agricultural sectors seems to be less than optimal and, hence, additional efforts are required to transfer the huge academic know-how in this area to the practitioners. We also found evidence for exploitation of market powers by contactors in various agricultural sectors. This may call for government regulations in the anti-trust area. Another important implication of this project is that in addition to explicit contracts economic outcomes resulting from the interactions between growers and agricultural intermediaries depend on a number of other factors including allocation of decision and ownership rights and implicit contracting. We have developed models to study the interactions between explicit contracts, decision rights, ownership structure, and implicit contracts. These models have been applied to study contractual arrangements in California agriculture and the North American sugarbeet industry.
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