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Journal articles on the topic 'Model de poutre'

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Published: 4 June 2021

Last updated: 25 May 2024

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Reorita, Rina, Niken Larasati, and Renny Renny. "PENGARUH PARAMETER PENGONTROL DALAM MENEKAN PENYEBARAN PENYAKIT FLU BURUNG." Jurnal Ilmiah Matematika dan Pendidikan Matematika 3, no. 1 (2011): 21. http://dx.doi.org/10.20884/1.jmp.2011.3.1.2970.

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Indonesia has been being a country which has the most victims of avian influenza case. Avian influenza is caused by influenza virus H5N1 type. This virus can be transmitted from infected poultry to susceptible poultry and infected poutry to susceptible human. This paper describes an SIR (Susceptible, Infection, Recovery) mathematic model for the spread of avian influenza disease. The basic reproduction number will be obtained for analyzing what are the factors that can influence the epidemic. By the Pontryagin Maximum Principle, it can be seen how is the influence of vaccine as a control to the spread of disease.

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Dhia, Anne-Sophie Bonnet-Ben, and Fabrice Mahé. "A guided mode in the range of the radiation modes for a rib waveguide." Journal of Optics 28, no. 1 (1997): 41–43. http://dx.doi.org/10.1088/0150-536x/28/1/008.

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Chari, T. Jagadeeshwara. "A Study on “Idealogical Model for Integrated Fish Farming” at Siddipet, Telangana State." International Journal of Oceanography & Aquaculture 7, no. 3 (2023): 1–5. http://dx.doi.org/10.23880/ijoac-16000258.

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Azolla is used as feed for fish, poultry, piggery, and used as manure in paddy. The spirulina is used as feed for fish, which has high protein value. Products from poultry and duckery manure gets utilized in fish production and also used as fertilizer in paddy. Meat, eggs and feathers gets exported for the preparation of cocks. Eggs from poultry and duckery get utilized in minute value as a feed. Pig manure is used as a fish feed and as a fertilizer in paddy. Antibiotics such as “INSULIN” can be obtained from pancreas of pig. Products from paddy such as rice bran are used as a feed for fish. The contaminated water from the pond gets utilized for paddy production so that we can produce pest free rice (organic rice) . All the crops are integrated with each other. The feed is prepared with the products in the farm

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Abiodun Okunlola, Funso, Godswill Osagie Osuma, and Alexander Ehimare Omankhanlen. "Has Nigerian agricultural output spurred economic growth: the financing gap model using stepwise regression." Investment Management and Financial Innovations 16, no. 3 (2019): 157–66. http://dx.doi.org/10.21511/imfi.16(3).2019.15.

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This study examined if the Nigerian agricultural output has spurred economic growth and the best fit agricultural financing gap model for growing the economy. The study explored the dynamics of different technicality approach that stepwise regression has to offer. From the seven baskets of predictors – agricultural guaranteed finance to oil palm, cocoa, groundnuts, fishery, poultry, cattle, roots and tubers – the step fitted three predictors: roots and tubers, cocoa and poultry based on “a b” parameter with the highest “t-stats” and significant p-value and subsequently executed the model using stepwise regression analysis with the help of Statistical Package for Social Sciences (SPSS) version 23. The dataset covers a thirty-six year period from 1981 to 2017. The source of the data is from the Central Bank of Nigeria 2018 statistical bulletin. The findings showed that individually, root and tubers has the most contributory impact on economic growth with 81 percent. Jointly followed is cocoa at 87 percent and poultry at 90 percent. The study thus recommends a comparative cost advantage to financing agriculture with the most impactful contribution to economic growth based on the model.

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Livers, Stefanie D. "Model It! Poultry Egg-States." Mathematics Teacher: Learning and Teaching PK-12 116, no. 10 (2023): 764–70. http://dx.doi.org/10.5951/mtlt.2023.0083.

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Zhang, Juping, Wenjun Jing, Wenyi Zhang, and Zhen Jin. "Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China." Computational and Mathematical Methods in Medicine 2018 (November 4, 2018): 1–14. http://dx.doi.org/10.1155/2018/7383170.

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In order to analyze the spread of avian influenza A (H7N9), we construct an avian influenza transmission model from poultry (including poultry farm, backyard poultry farm, live-poultry wholesale market, and wet market) to human according to poultry transport network. We obtain the threshold value for the prevalence of avian influenza A (H7N9) and also give the existence and number of the boundary equilibria and endemic equilibria in different conditions. We can see that poultry transport network plays an important role in controlling avian influenza A (H7N9). Finally, numerical simulations are presented to illustrate the effects of poultry in different places on avian influenza. In order to reduce human infections in China, our results suggest that closing the retail live-poultry market or preventing the poultry of backyard poultry farm into the live-poultry market is feasible in a suitable condition.

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Niu, Xiang Jie, and Hua Li. "The Poultry Meat Production Technical Efficiency Analysis Model Based on Intelligent Devices." Applied Mechanics and Materials 713-715 (January 2015): 2181–84. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2181.

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The paper focuses on the poultry meat production efficiency analysis methods. In the poultry meat production procedure, the randomness is strong due to the various complex factors in the poultry meat production which will reduce the production efficiency. In order to avoid the defects of the traditional algorithms, the paper proposes the poultry meat production efficiency analysis method based on RBF neural network algorithm. The effect factors in the poultry meat production will be sifted as the basic data for production efficiency analysis. The RBF neural network model is built and the output results are used to analyze the poultry meat production efficiency with intelligent devices. The experiment results illustrate the improved algorithm can increase the poultry meat production efficiency.

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Els, R. P., and D. F. Malan. "Calibration of the limit equilibrium pillar failure model using physical models." Journal of the Southern African Institute of Mining and Metallurgy 123, no. 5 (2023): 253–63. http://dx.doi.org/10.17159/2411-9717/2655/2023.

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The limit equilibrium model, used in displacement discontinuity codes, is a popular method to simulate pillar failure. This paper investigates the use of physical modelling to calibrate this model. For the experiments, an artificial pillar material was prepared and cubes were poured using the standard 100 mm χ 100 mm civil engineering concrete moulds. The friction angle between the cubes and the platens of the testing machine was varied by using soap and sandpaper. Different modes of failure were observed depending on the friction angle. Of interest is that significant loadshedding was recorded for some specimens which visually remained mostly intact. This highlights the difficulty of classifying pillars as failed or intact in underground stopes where spalling is observed. The laboratory models enabled a more precise calibration of the limit equilibrium model compared to previous attempts. Guidelines to assist with calibration of the model are given in the paper. The limit equilibrium model appears to be a useful approximation of the pillar failure as it could simulate the stress-strain behaviour of the laboratory models.

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Arenas-Navarro, Isnardo, Efrén David Montes, SofíaMargarita Serrano-Pinilla, and Diego Andrés Rueda-Ordoñez. "Development of a rainwater harvesting model for broiler farms." Revista UIS Ingenierías 19, no. 2 (2020): 127–34. http://dx.doi.org/10.18273/revuin.v19n2-2020014.

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The access to water is critical in agricultural and livestock production.In the dry season, the water supply systems are under stress and have placed the region of La Mesa de Los Santos(Santander-Colombia) as susceptible to economic impacts due towater shortages, mainly caused by high demand ingrowth population, agriculture and the poultry production.Currently, the poultry production suffers from water shortages and has beensuppliedwith liquid in tanker trucks duringthe dry season, presenting a significant added cost to the farmers. The implementation of a rainwater-harvesting (RWH) system could reduce the water stress on the poultry industrial production of the region. The main objective of this research was to develop a mathematical model to identify the numbers of poultry grown cycles that a rainwater harvesting (RWH) system could potentially feed in an average year of precipitations. The analyses performed here considered daily rainfall data ranged from 2010 to 2018 obtained from the weather stations in La Mesa de Los Santos. The results of this research can be helpful to the entrepreneurs and policymakers by evaluating the importance of water management and the opportunity to take advantage of rainwater as a resource for sustainable poultry production, currently an important alternative to the value chain in the agricultural, livestock and industrial sector of the region.

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YANG, NING, CHANGHSIN WU, and IAN McMILLAN. "New Mathematical Model of Poultry Egg Production." Poultry Science 68, no. 4 (1989): 476–81. http://dx.doi.org/10.3382/ps.0680476.

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Salma, Sekhra, Mohammed Habib, Adil Tannouche, and Youssef Ounejjar. "Poultry Meat Classification Using MobileNetV2 Pretrained Model." Revue d'Intelligence Artificielle 37, no. 2 (2023): 275–80. http://dx.doi.org/10.18280/ria.370204.

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Šobrová, Lenka, M. Malý, and Z. Malá. "Partial equilibrium model – Case study of the poultry market." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 7 (2011): 431–38. http://dx.doi.org/10.11118/actaun201159070431.

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This paper deals with identifying the main determinants in the poultry agri-food chain in the Czech Republic and examines their relationships. The partial equilibrium model, defined as a seven-equation model in power form, is employed for this purpose. The analysis is based on both time-series and panel data of the main factors in the poultry market. The time-series as well as panel data contain annual data of selected variables for the period from 1995 to 2009. The analysis is focused on supply and demand of poultry meat, specifically on production, consumption and foreign trade in poultry meat in the Czech Republic. Firstly, the main factors influencing the poultry market are determined, then, an appropriate model is employed. The parameters of the model are estimated using the ordinary least squares method in statistical and econometric software. Estimated parameters confirm assumed relationships among the selected variables. Moreover, the long-term tendencies of the selected indicators are proven. Among other, the analysis proves an inertial consumption, the price level as the main factor influencing the consumption and one-way or mutual relationship among the selected variables. The statistical features of the model are satisfied as well – the estimated parameters are statistically significant, the model does not contain, neither the problem of autocorrelation of residuals nor the problem of heteroskedasticity.

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Nath, M., and S. C. Bishop. "A genetic-epidemiological model for Marek’s Disease in Poultry." Proceedings of the British Society of Animal Science 2009 (April 2009): 197. http://dx.doi.org/10.1017/s1752756200030362.

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Marek’s disease (MD), caused by a herpes virus, is a very infectious, lymphoproliferative and chronic disease of poultry. Breeding for improved MD resistance poultry stock is possible since MD resistance has been associated with MHC haplotypes, QTL and candidate genes. However, integration of host genetics vis-à-vis other control strategies and the utilisation of genes or gene markers for MD in practical breeding programmes is still a challenge. The objective of the present study was to develop a basic genetic-epidemiological model for Marek’s disease infection in poultry, identify parameter spaces that describe the disease dynamics correctly and investigate the impacts of possible genetic and vaccination control strategies on overall disease dynamics.

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Aminuddin, Rahmat Ridlo, and Liane Okdinawati. "A Dynamic Model For Poultry Supply Chain In West Java." Journal of Business and Management Review 4, no. 2 (2023): 104–28. http://dx.doi.org/10.47153/jbmr42.6272023.

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    This paper analyzes the constraints on supply chain processes within the poultry industry in West Java, Indonesia after COVID-19 pandemic. During the upstream process, poultry feed costs fluctuates greatly and lacks of storage which causing feed supply constraint, the mortality rate of chickens often surpasses 5% due to several factors including stocking density. Another identified problem adversely affecting the upstream process is the inability of small-scale farmers to procure their own Grand Parent Stock (GPS) since they remain dependent upon corporations to supply it, leading to inefficiency and increased production costs. Meanwhile, in downstream processes, the lack of a cold supply chain system and adequate storage capacity presents other challenges with regard to product durability. Consumer awareness regarding the relationship between food safety and health, and shifting in consumer preferences, especially during COVID-19 pandemic is also considered as a constraint in West Java poultry supply chain. To cope with those problems, several solutions such as technology and policy were offered to improve and solve problems in the supply chain process. Technology can be a powerful tool in addressing challenges in the poultry supply chain by providing efficient, accurate, and scalable solutions. While policy play a crucial role in addressing problems in the poultry supply chain by setting standards, promoting best practices, and providing a framework for action, regulate the behavior of the actors, promote transparency and hold actors accountable for their actions. A causal loop diagram is also made to assess the relationship between technology and policy in poultry supply chain process    

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He, Dong Kang, Shou Ming Zhang, Gui Hong Bi, and Rui Yu. "The Poultry Voice Classification Model Based on EMD and Support Vector Machine." Applied Mechanics and Materials 722 (December 2014): 217–21. http://dx.doi.org/10.4028/www.scientific.net/amm.722.217.

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According to the non-stationary and non-linear characteristics of poultry voice and the situation that it`s hard to obtain enough sound samples, a poultry voice classification method based on Empirical Mode Decomposition (EMD), Teager energy transformation, and Support Vector Machine (SVM) is proposed. Firstly, the poultry voice signals are decomposed into a finite number of intrinsic mode function (IMF).Then, the Teager energy of five IMFs filtered are used to form characteristic vectors. Finally, the eigenvectors are put into a support vector machine classifier . The results of animal voice signals experimental recognition showed that this method had high accuracy and good generalization abilities even in the case of small number of samples. The approach proposed could identify the poultry voice effectively.

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Neupane, S. K., Ram K. Sharma, and Shiva Shankar Karki. "Poultry Faeces Management by Bioconversion Technology with Modified GGC 2047 Model." Journal of Advanced College of Engineering and Management 1 (May 13, 2016): 107. http://dx.doi.org/10.3126/jacem.v1i0.14928.

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In this report, entitled “Poultry Faeces Management by Bioconversion Technology with Modified GGC 2047 model” focuses on various parameters relating to physico-chemical characteristics of the substrate, fertilizing value of digested poultry waste and potential to create profitability from biogas energy, thus generated and balancing the environmental aspects using poultry waste digestion. Also, biogas may be the tool of energy generation in rural areas while sanitation (waste management) in urban areas of developing countries asNepal. Biogas production from chicken faeces could be obtained more effectively by feeding around 8.5 kg per day. It is concluded that digester could be run by around 2.5 quintal chicken faeces per month. Hence those people, who can manage this quantity of waste, can utilize bio-digester without poultry farm.Journal of Advanced College of Engineering and Management, Vol. 1, 2015, pp. 107-117

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Malý, M. "Poultry meat vertical – A partial equilibrium model approach." Scientia Agriculturae Bohemica 45, no. 1 (2014): 55–65. http://dx.doi.org/10.7160/sab.2014.450108.

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Nauta, M. J., and A. H. Havelaar. "A PROCESS RISK MODEL FOR CAMPYLOBACTER IN POULTRY." Acta Horticulturae, no. 674 (May 2005): 293–300. http://dx.doi.org/10.17660/actahortic.2005.674.34.

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Souza, Lucas José de, Marcio Rodrigo Santos, and Egon Walter Wildauer. "Conceptual model of IoT architecture for poultry farming." International Journal of Advanced Engineering Research and Science 8, no. 10 (2021): 201–7. http://dx.doi.org/10.22161/ijaers.810.23.

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Saad, Manar A., El-Sayed G. Khater, Samir A. Ali, and Taha H. Ashour. "SIMULATION MODEL OF ENERGY BALANCE FOR POULTRY HOUSES." Misr Journal of Agricultural Engineering 33, no. 4 (2016): 1559–78. http://dx.doi.org/10.21608/mjae.2016.97621.

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Shagieva, Al'bina, Gul'naz Vagazova, and Aleksandra Pavlova. "DEVELOPMENT OF AN OPTIMIZATION ANTI-CRISIS MANAGEMENT MODEL IN INDUSTRIAL POULTRY USING MARKETING TECHNOLOGIES." Vestnik of Kazan State Agrarian University 15, no. 1 (2020): 130–36. http://dx.doi.org/10.12737/2073-0462-2020-130-136.

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The studies were carried out with the aim of developing a model for optimizing anti-crisis management of business entities in the poultry industry using marketing technologies. The article discusses current issues related to the development of a model for optimizing crisis management in the poultry industry using marketing technologies. The key problems requiring improvement of anti-crisis management of enterprises in the poultry industry are recognition of pre-crisis situations, ensuring the company’s activity in a crisis, motivating the workforce and stimulating the poultry products market, highlighting the constituent elements of the marketing model. From an organizational point of view, the components of the model for optimizing the crisis management of poultry enterprises in a crisis using marketing technologies were clarified, including: developing a plan to minimize enterprise costs, forming an anti-crisis team, ensuring the effective functioning of the strategic planning system, establishing cooperation with a consulting company, which will take over the functions of the crisis center. Using the formalized algorithm for compiling an anti-crisis marketing strategy for poultry enterprises developed in the course of research in practice will allow us to measure and improve the results of Internet marketing campaigns; personalize them to optimize crisis management; develop communication in social networks; develop marketing messages whose content is relevant to users; improve customer service; increase customer satisfaction and loyalty; provide for certain events (intellectual analytics) that will help to make more accurate and timely decisions. It is advisable to build crisis management at poultry enterprises using the innovative data marketing concept

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Fahrurrozi, Imam, Wahyono Wahyono, Yunita Sari, Anny Kartika Sari, Ilona Usuman, and Bambang Ariyadi. "Integrating random forest model and internet of things-based sensor for smart poultry farm monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 1283. http://dx.doi.org/10.11591/ijeecs.v33.i2.pp1283-1292.

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The global poultry industry has encountered growing concerns related to foodborne illnesses, misuse of antibiotics, and environmental impacts. To tackle these issues, this study aims to develop an intelligent poultry farm with real-time environmental monitoring and predictive models. The primary objective is to combine a machine learning-based prediction model with internet of things (IoT) devices to gather and analyze environmental data, such as temperature, humidity, and ammonia levels, to forecast the conditions within poultry houses. These sensor data and additional information, such as feed consumption, water consumption, poultry weight, capacity, and poultry house dimensions will serve as inputs for supervised machine learning models. Among these models, the proposed random forest (RF) model, when augmented with timestamp features, achieves the highest accuracy rate of 96.665%, surpassing other models such as logistic regression (LR), k-nearest neighbor (KNN), decision tree (DT), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), support vector machine (SVM), and multi-layer perceptron (MLP) in identifying poultry house conditions. Additionally, this study demonstrates how the trained model can be effectively applied in a web-based monitoring system, delivering real-time data to farmers for well-informed decision-making and ultimately enhancing productivity in smart poultry farming.

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Constance, Douglas H., Jin Young Choi, and Mary K. Hendrickson. "The Southern Model Revisited: The Intersection of Race, Ethnicity, Immigration, and Health and Safety in Poultry Processing." Sustainability 15, no. 18 (2023): 13945. http://dx.doi.org/10.3390/su151813945.

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This research combines a sociology of agrifood conceptual framework with a commodity systems analysis methodology to investigate the nexus of race, ethnicity, immigration, and health and safety in the US poultry processing industry. The poultry industry was the first agricultural sector to industrialize. Through vertical and horizontal integration, the industry is dominated by a few powerful firms. The industry has been criticized for multiple ethical failures regarding contract growers, processing plant workers, and communities. Meat and poultry processing is one of the most dangerous manufacturing jobs in the United States. Poultry processing is especially reliant on a non-union, minority, and immigrant labor force. This “Southern Model” is the preferred model of agrifood globalization. The COVID pandemic brought renewed attention to precarious work in poultry processing and exposed the lack of resilience in the agrifood system in general, and the poultry industry in particular.

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Silva, Mariano P., Fernando C. Baêta, Ilda F. F. Tinôco, Sérgio Zolnier, and Aristides Ribeiro. "Evaluation of a simplified model for estimating energy balance in broilers production housing." Revista Brasileira de Engenharia Agrícola e Ambiental 11, no. 5 (2007): 532–36. http://dx.doi.org/10.1590/s1415-43662007000500014.

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The simulation of poultry house thermal behavior with and without Adiabatic Evaporative Cooling (SRAE) allows the decision makers to evaluate the economical feasibility and the installation costs of a poultry production business. The first step in this research investigation was test the thermal behavior model developed by Gates et al. (1995) for broiler houses in the United States based on the hypothesis that this model, using climatized sheds, as proposed by the authors, could be used under Brazilian conditions. The model is suitable for the proposed objective in the form proposed by Gates et al. (1995) for poultry houses with an elevated mass air flow rate (120.8 kg air s-1 or higher). A correction factor referring to a series of heat sources not included in the model, or the inclusion of these sources, is necessary for poultry houses without a high mass air flow.

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LORI, SEHAM, ROMAN BUCKOW, DIETRICH KNORR, VOLKER HEINZ, and ANSELM LEHMACHER. "Predictive Model for Inactivation of Campylobacter spp. by Heat and High Hydrostatic Pressure." Journal of Food Protection 70, no. 9 (2007): 2023–29. http://dx.doi.org/10.4315/0362-028x-70.9.2023.

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Campylobacter represents one of the leading causes of foodborne enteritis. Poultry and its products frequently transmit the pathogen. The objective of the present study was to model predictively the short-term inactivation of Campylobacter in a ready-to-eat poultry product to develop an economic high-pressure treatment. We inactivated baroresistant strains of Campylobacter jejuni and Campylobacter coli, grown to stationary phase on nutrient agar and inoculated in poultry meat slurry, by heat and high hydrostatic pressure. Incubation at ambient pressure at 70°C for 1 min and at 450 MPa at 15°C for 30 s inactivated more than 6 log CFU of this foodborne pathogen per ml of poultry meat slurry. Thermal and pressure inactivation kinetics of C. coli and C. jejuni in poultry meat slurry were accurately described by a first-order kinetic model. A mathematical model was developed from 10 to 65°C and from ambient to 500 MPa that predicts the reduction in numbers of Campylobacter in response to the combination of temperature, pressure, and treatment time. We suggest the high-pressure treatment of foods to avoid health risks caused by Campylobacter. The nonthermal short-term treatment of the examined food model system represents a successful step to an economic high-pressure procedure.

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Alston, Julian M., and Grant M. Scobie. "A Differentiated Goods Model of the Effects of European Policies in International Poultry Markets." Journal of Agricultural and Applied Economics 19, no. 1 (1987): 59–68. http://dx.doi.org/10.1017/s0081305200017386.

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AbstractThe Common Agricultural Policy increases European poultry production costs, prohibits imports, increases domestic prices, and subsidizes exports. This policy has displaced some U.S. exports. However, the net impact in the U.S. has been quite modest, even assuming poultry is homogeneous, independent of source country. Costs to U.S. producers are almost entirely offset by gains to U.S. consumers. Effects in the U.S. are even smaller when imperfect substitutability between poultry from different countries is accounted for. A retaliatory U.S. export subsidy would have more dramatic effects in U.S. markets.

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NICKBAKHSH, S., L. MATTHEWS, S. W. J. REID, and R. R. KAO. "A metapopulation model for highly pathogenic avian influenza: implications for compartmentalization as a control measure." Epidemiology and Infection 142, no. 9 (2013): 1813–25. http://dx.doi.org/10.1017/s0950268813002963.

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SUMMARYAlthough the compartmentalization of poultry industry components has substantial economic implications, and is therefore a concept with huge significance to poultry industries worldwide, the current requirements for compartment status are generic to all OIE member countries. We examined the consequences for potential outbreaks of highly pathogenic avian influenza in the British poultry industry using a metapopulation modelling framework. This framework was used to assess the effectiveness of compartmentalization relative to zoning control, utilizing empirical data to inform the structure of potential epidemiological contacts within the British poultry industry via network links and spatial proximity. Conditions were identified where, despite the efficient isolation of poultry compartments through the removal of network-mediated links, spatially mediated airborne spread enabled spillover of infection with nearby premises making compartmentalization a more ‘risky’ option than zoning control. However, when zoning control did not effectively inhibit long-distance network links, compartmentalization became a relatively more effective control measure than zoning. With better knowledge of likely distance ranges for airborne spread, our approach could help define an appropriate minimum inter-farm distance to provide more specific guidelines for compartmentalization in Great Britain.

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Jiang, Jize, David S. Stevenson, Aimable Uwizeye, Giuseppe Tempio, and Mark A. Sutton. "A climate-dependent global model of ammonia emissions from chicken farming." Biogeosciences 18, no. 1 (2021): 135–58. http://dx.doi.org/10.5194/bg-18-135-2021.

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Abstract. Ammonia (NH3) has significant impacts on the environment, which can influence climate and air quality and cause acidification and eutrophication in terrestrial and aquatic ecosystems. Agricultural activities are the main sources of NH3 emissions globally. Emissions of NH3 from chicken farming are highly dependent on climate, affecting their environmental footprint and impact. In order to investigate the effects of meteorological factors and to quantify how climate change affects these emissions, a process-based model, AMmonia–CLIMate–Poultry (AMCLIM–Poultry), has been developed to simulate and predict temporal variations in NH3 emissions from poultry excretion, here focusing on chicken farms and manure spreading. The model simulates the decomposition of uric acid to form total ammoniacal nitrogen, which then partitions into gaseous NH3 that is released to the atmosphere at an hourly to daily resolution. Ammonia emissions are simulated by calculating nitrogen and moisture budgets within poultry excretion, including a dependence on environmental variables. By applying the model with global data for livestock, agricultural practice and meteorology, we calculate NH3 emissions from chicken farming on a global scale (0.5∘ resolution). Based on 2010 data, the AMCLIM–Poultry model estimates NH3 emissions from global chicken farming of 5.5 ± 1.2 Tg N yr−1, about 13 % of the agriculture-derived NH3 emissions. Taking account of partial control of the ambient environment for housed chicken (layers and broilers), the fraction of excreted nitrogen emitted as NH3 is found to be up to 3 times larger in humid tropical locations than in cold or dry locations. For spreading of manure to land, rain becomes a critical driver affecting emissions in addition to temperature, with the emission fraction being up to 5 times larger in the semi-dry tropics than in cold, wet climates. The results highlight the importance of incorporating climate effects into global NH3 emissions inventories for agricultural sources. The model shows increased emissions under warm and wet conditions, indicating that climate change will tend to increase NH3 emissions over the coming century.

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Orimogunje, Ronke Victoria, Ayodeji Sunday Ogunleye, and Ayodeji Damilola Kehinde. "Effect of Microcredit on Profit Efficiency of Small-Scale Poultry Farmers Oyo State, Nigeria." Agricultura 17, no. 1-2 (2021): 37–46. http://dx.doi.org/10.18690/agricultura.17.1-2.37-46.2020.

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This study investigated the effect of microcredit on profit efficiency of small-scale poultry farmers in Oyo State. Multistage sampling procedure was used to select two hundred poultry farmers for the study. Data collected were analysed using descriptive statistics, Heckman selection model, stochastic frontier and Tobit models. Result from descriptive statistics showed that men (78%) are predominantly involved in poultry production. The average age of poultry farmers in the area of study is approximately 43 years. Most of the farmers are married (77.5%) and literate (80.5%). Furthermore, most of the respondents (73.5%) had access to microcredit with 87.5% belonging to one farmer’s association or the other. Heckman two-stage selection model revealed that membership of cooperative/farmer’s association and contact with extension agent are the significant factors influencing farmer’s access to microcredit. The second stage of the model reveals that age, years of education, household size, years of farming experience, distance to source of microcredit, timeliness of microcredit and stock size are the significant factors influencing the amount of microcredit obtained by farmers. Results obtained from the stochastic frontier model showed that smallholder poultry farmers had an average profit efficiency of 54.0% in poultry production. Furthermore, the Tobit model (Model 1) results revealed that amount of microcredit, distance to source of microcredit, interest rate and loan repayment period significantly influenced farmer’s profit efficiency while in the second model, years of formal education, poultry farming experience and membership of cooperative/farmer’s association influenced farmer’s profit efficiency. The results of two-side censored Tobit model suggest that microcredit variables are the most favourable variables for line of action. This suggested that policy makers should ensure that microcredit available through the agricultural credit programmes get to the needy farmers.

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Adebayo, Oluwadare Samuel, Gabriel Arome Junior, and Ogunrinde Oluwakemi Grace. "Tabu-Genetic Algorithm-Based Model for Poultry Feed Formulation." International Journal of Sustainable Agricultural Research 6, no. 2 (2019): 94–109. http://dx.doi.org/10.18488/journal.70.2019.62.94.109.

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Bumanis, Nikolajs, Irina Arhipova, Liga Paura, Gatis Vitols, and Liga Jankovska. "Data Conceptual Model for Smart Poultry Farm Management System." Procedia Computer Science 200 (2022): 517–26. http://dx.doi.org/10.1016/j.procs.2022.01.249.

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Das, P. K., P. R. Ghosh ., B. Roy ., and D. Mazumdar . "Model for Backyard Poultry Farming in West Bengal, India." International Journal of Poultry Science 12, no. 3 (2013): 169–74. http://dx.doi.org/10.3923/ijps.2013.169.174.

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Nauta, Maarten, Ine van der Fels-Klerx, and Arie Havelaar. "A Poultry-Processing Model for Quantitative Microbiological Risk Assessment." Risk Analysis 25, no. 1 (2005): 85–98. http://dx.doi.org/10.1111/j.0272-4332.2005.00569.x.

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Vukasoviĉ, T. "Conceptual model of strategic positioning of a poultry brand." World's Poultry Science Journal 67, no. 4 (2011): 643–52. http://dx.doi.org/10.1017/s0043933911000730.

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Osiriphun, Sukhuntha, Pravate Tuitemwong, Woranut Koetsinchai, Kooranaee Tuitemwong, and Larry E. Erickson. "Model of inactivation of Campylobacter jejuni in poultry scalding." Journal of Food Engineering 110, no. 1 (2012): 38–43. http://dx.doi.org/10.1016/j.jfoodeng.2011.12.011.

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Sana, Shib Sankar, Debabrata Purohit, and Kripasindhu Chaudhuri. "Joint project of fishery and poultry – A bioeconomic model." Applied Mathematical Modelling 36, no. 1 (2012): 72–86. http://dx.doi.org/10.1016/j.apm.2011.04.031.

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Yang, Xiao, Haixing Dai, Zihao Wu, et al. "An innovative segment anything model for precision poultry monitoring." Computers and Electronics in Agriculture 222 (July 2024): 109045. http://dx.doi.org/10.1016/j.compag.2024.109045.

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Borodin, K. G. "Russian Poultry Meat Market: Trends, Factors and Development Prospects." Economy of agricultural and processing enterprises, no. 7 (2020): 68–74. http://dx.doi.org/10.31442/0235-2494-2020-0-7-68-74.

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The paper deals with the issues of forecasting the Russian poultry meat market. A model of partial equilibrium of the market for differentiated products for the formation of medium-term forecasts of its development is proposed. The estimates of model calculations for the domestic market of poultry meat were obtained. According to the forecast, positive dynamics in domestic poultry production is expected.

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Shamsuddoha, Mohammad, Mohammed Quaddus, and Desmond Klass. "Sustainable poultry production process to mitigate socio-economic challenge." Humanomics 31, no. 3 (2015): 242–59. http://dx.doi.org/10.1108/h-09-2012-0017.

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Purpose – The purpose of this paper is to review the literature and to develop a sustainable model for the poultry industry in an attempt to mitigate existing socio-economic problems. Sustainability along with positive socio-economic changes has gained prominence in recent years in academia and business in Bangladesh. This paper aimed at helping the poultry industry is used to develop a sustainable production process to mitigate socio-economical problems. Bangladesh poultry has yet to achieve sustainability in her extended forward and reverse supply chain. The design science method under a quantitative paradigm has been used in this study to develop a sustainable supply chain model for the case industry. A simulation model has been developed using the SIMUL8 software package to model the real poultry case. Finally, key performance indicators (KPIs) will be briefly discussed to illustrate the positive effects of developing a sustainable production process model. Design/methodology/approach – This study covers a literature review on environmental sustainability, reverse supply chain and Bangladesh poultry industry. This study adopted positivist ontology, empirical epistemology and quantitative methodology based on case studies of poultry industry. The design science methodology and case study method was chosen for this study. Design science is concerned with “devising artefacts to attain goals” (Simon, 1969). Design science is based on “build and evaluate” an artefact of a model (March and Smith, 1995). Here, an artefact means design and develop soft or hard objects that can meet specific purposes and goals (Venable, 2006a, 2006b). Case studies are observed descriptions of particular instance of an occurrence (Yin, 1994). Both primary and secondary information were used in this study. Findings – The findings of this study were mainly focused on developing a sustainable poultry model along with Islamic consensus. There is plethora research work conducted by the previous researcher. Such study will fill the research gap that also can guide to eliminate socio-economic problems of the society. Model output can easily determine the immediate impact over society, stakeholders and entrepreneurs. Optimality can be observed in the model environment so that real-life experiment does not require which is also expensive and time consuming. Research limitations/implications – The study only includes a sustainable poultry model with showing overall impact to mitigate the socio-economic problems in Bangladesh. This research can be extended more elaborately than this. Future research could be expanded based on different aspect of supply chain, Islamic finances and socio-economic problems. Practical implications – Poultry waste management could gain more social, economic and environmental benefit through implementing the model practically within the existing farm. Social implications – This paper provides a guidelines to create more employments and social benefits through sustainable poultry supply chain. Moreover, proper waste management can make it more worthy for the society. Originality/value – This paper has maintained originality to mitigate socio-economic challenge in Bangladesh through sustainable poultry supply chain.

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Bist, Ramesh Bahadur, Sachin Subedi, Xiao Yang, and Lilong Chai. "Automatic Detection of Cage-Free Dead Hens with Deep Learning Methods." AgriEngineering 5, no. 2 (2023): 1020–38. http://dx.doi.org/10.3390/agriengineering5020064.

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Poultry farming plays a significant role in ensuring food security and economic growth in many countries. However, various factors such as feeding management practices, environmental conditions, and diseases lead to poultry mortality (dead birds). Therefore, regular monitoring of flocks and timely veterinary assistance is crucial for maintaining poultry health, well-being, and the success of poultry farming operations. However, the current monitoring method relies on manual inspection by farm workers, which is time-consuming. Therefore, developing an automatic early mortality detection (MD) model with higher accuracy is necessary to prevent the spread of infectious diseases in poultry. This study aimed to develop, evaluate, and test the performance of YOLOv5-MD and YOLOv6-MD models in detecting poultry mortality under various cage-free (CF) housing settings, including camera height, litter condition, and feather coverage. The results demonstrated that the YOLOv5s-MD model performed exceptionally well, achieving a high mAP@0.50 score of 99.5%, a high FPS of 55.6, low GPU usage of 1.04 GB, and a fast-processing time of 0.4 h. Furthermore, this study also evaluated the models’ performances under different CF housing settings, including different levels of feather coverage, litter coverage, and camera height. The YOLOv5s-MD model with 0% feathered covering achieved the best overall performance in object detection, with the highest mAP@0.50 score of 99.4% and a high precision rate of 98.4%. However, 80% litter covering resulted in higher MD. Additionally, the model achieved 100% precision and recall in detecting hens’ mortality at the camera height of 0.5 m but faced challenges at greater heights such as 2 m. These findings suggest that YOLOv5s-MD can detect poultry mortality more accurately than other models, and its performance can be optimized by adjusting various CF housing settings. Therefore, the developed model can assist farmers in promptly responding to mortality events by isolating affected birds, implementing disease prevention measures, and seeking veterinary assistance, thereby helping to reduce the impact of poultry mortality on the industry, ensuring the well-being of poultry and the overall success of poultry farming operations.

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Zuidhof, M. J. "Multiphasic poultry growth models: method and application." Poultry Science 99, no. 11 (2020): 5607–14. http://dx.doi.org/10.1016/j.psj.2020.08.049.

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Amponsah, S. K., Dominic Otoo, A. K. Peprah, and S. D. Ampofo. "Modelling the feed mix for poultry production, the case of Adama Musa farms, in Ghana." International Journal of Applied Mathematical Research 4, no. 2 (2015): 404. http://dx.doi.org/10.14419/ijamr.v4i2.3630.

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The poultry industry has a significant importance on national economy. It is a popular industry for the small holders with tremendous contribution to Gross Domestic Product (GDP) and employment creation. Poultry feed cost represents over sixty (60) percent of the total cost of poultry production; consequently, efficient feed formulation practice is required for a sustainable poultry industry. Many Ghanaian poultry farmers, however, employ inefficient methods like rule of thumb, experiences, and intuition to handle feed formulation problem. This paper presents a deterministic linear programming model to solve blending problem facing poultry farmers, using locally available feed ingredients from the Ghanaian poultry industry. In the model, we shall minimize cost of producing a particular diet and maintain the ingredient. Over 3% reductions in the cost of producing broiler starter and finisher feed formulation compared to the existing method on the farm was achieved.

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Postnikova, D. D. "Factors of Poultry Production Efficiency Increase." Education and Science without Limits Fundamental and Applied Researches, no. 18 (2023): 43–45. http://dx.doi.org/10.36683/2500-249x/2023-18/43-45.

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The article considers the factors of efficiency increase of poultry production. It is es-tablished that industrial poultry keeping is represented by a complex model with significant number of factors. It is proved that poultry production efficiency is influenced by the follow-ing indicators: poultry stock, average daily gain in live weight, fattening period, electricity costs, price, and consumption of poultry products.

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Rodriguez, U.-Primo, Yolanda Garcia, Reynaldo Tan, and Arnulfo Garcia. "Can Trade Policies Soften the Economic Impacts of an Avian Influenza Outbreak? Simulations From a CGE Model of the Philippines." Asian Journal of Agriculture and Development 4, no. 2 (2007): 41–50. http://dx.doi.org/10.37801/ajad2007.4.2.3.

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The paper examines the possibilities of using trade policy to address the adverse economic effects of an avian influenza outbreak in the Philippines. In particular, it employs a computable general equilibrium (CGE) model for analyzing the likely effects of two options; namely, a) a ban on imported poultry, and b) the removal of tariffs on non-poultry meat products. Using six model scenarios (i.e., production shocks, consumption shocks, ban on poultry imports, removal of tariff on non-poultry imports, and selected combinations of these shocks), the simulation results reveal that (a) the consumption and production shocks are expected to have a contractionary effect on real GDP; (b) the expected fall in the output of poultry products explains most of the decline in real GDP; (c) the production shock appears to have a larger impact since this explains most of the decline in real GDP as well as the increase in the general price level; (d) while the consumption shock tends to have a larger impact on the poultry products, the production shock dominates the aggregate responses because of its effects on other industries, and (e) avian influenza is likely to have far-reaching effects on the economy, way beyond the poultry sector. Based on these results, this paper supports the use of an import ban as a preventive measure against the occurrence of an avian influenza attack. This is based on the finding that the economic costs from such a measure appear to be lower than the costs associated with the disease. In contrast, the study finds that there is a weak case for removing tariffs on non-poultry meat products as a means to soften the harmful impacts of an avian influenza outbreak.

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Zhang, Juping, Yun Li, Zhen Jin, and Huaiping Zhu. "Dynamics Analysis of an Avian Influenza A (H7N9) Epidemic Model with Vaccination and Seasonality." Complexity 2019 (March 17, 2019): 1–15. http://dx.doi.org/10.1155/2019/4161287.

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H7N9 virus in the environment plays a role in the dynamics of avian influenza A (H7N9). A nationwide poultry vaccination with H7N9 vaccine program was implemented in China in October of 2017. To analyze the effect of vaccination and environmental virus on the development of avian influenza A (H7N9), we establish an avian influenza A (H7N9) transmission model with vaccination and seasonality among human, birds, and poultry. The basic reproduction number for the prevalence of avian influenza is obtained. The global stability of the disease-free equilibrium and the existence of positive periodic solution are proved by the comparison theorem and the asymptotic autonomous system theorem. Finally, we use numerical simulations to demonstrate the theoretical results. Simulation results indicate that the risk of H7N9 infection is higher in colder environment. Vaccinating poultry can significantly reduce human infection.

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Rufino, João Paulo Ferreira, and Lucieta Guerrero Martorano. "Thermal response of broilers in different poultry house models at the Amazon environmental conditions." Revista Acadêmica Ciência Animal 18 (October 23, 2020): 1. http://dx.doi.org/10.7213/2596-2868.2020.18016.

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The present study aimed to evaluate the thermal response of two models of aviary installed in different conditions of the Amazon rainforest and its effects on the poultry welfare. Two models of aviary were evaluated: conventional model, used in the Eastern Amazon (forced ventilation, low ceiling height, little vegetation around the aviary, and high density of birds per m2), and alternative model, used in the Western Amazon (natural ventilation, high ceiling height, a lot of vegetation around the aviary, and average density of birds per m2). Data collected were subjected to a Tukey test (p ≤ 0.05) after a significant ANOVA result. The conventional model of poultry house presented higher (p < 0.05) heat accumulation in its structures. Birds housed in the conventional model of poultry house had higher (p < 0.05) head, neck, back and leg temperatures, higher (p < 0.05) body heat accumulation, and lower heat exchange efficiency to the environment. From these results, we conclude that under Amazonian environmental conditions, the alternative model of poultry house, with natural ventilation, higher height of ceiling and vegetation around the poultry house, provided better environmental conditions and thermal comfort to the broilers due to lower heat concentration and better possibility of heat exchange with the environment.

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MANSUR, AHMAD ROIS, JOONG-HYUN PARK, and DEOG-HWAN OH. "Predictive Model for Growth of Staphylococcus aureus on Raw Pork, Ham, and Sausage." Journal of Food Protection 79, no. 1 (2016): 132–37. http://dx.doi.org/10.4315/0362-028x.jfp-15-227.

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ABSTRACT Recent Staphylococcus aureus outbreaks linked to meat and poultry products underscore the importance of understanding the growth kinetics of S. aureus in these products at different temperatures. Raw pork, ham, and sausage (each 10 ± 0.3 g) were inoculated with a three-strain cocktail of S. aureus, resulting in an initial level of ca. 3 log CFU/g. Samples were stored isothermally at 10, 15, 20, 25, 30, 35, and 40°C, and S. aureus was enumerated at appropriate time intervals. The square root model was developed using experimental data collected from S. aureus grown on all samples (where data from raw pork, ham, and sausage were combined) so as to describe the growth rate of S. aureus as a function of temperature. The model was then compared with models for S. aureus growth on each individual sample in the experiments (raw pork, ham, or sausage) and the S. aureus ComBase models, as well as models for the growth of different types of pathogens (S. aureus, Escherichia coli O157:H7, Clostridium perfringens, Salmonella serovars, and Salmonella Typhimurium) on various types of meat and poultry products. The results show that the S. aureus model developed here based on the pooled data from all three pork products seems suitable for the prediction of S. aureus growth on different pork products under isothermal conditions from 10 to 25°C, as well as for S. aureus growth on different meat and poultry products at higher temperatures between 20 and 35°C. Regardless of some high deviations observed at temperatures between 25 and 40°C, the developed model still seems suitable to predict the growth of other pathogens on different types of meat and poultry products over the temperature ranges used here, especially for E. coli O157:H7 and Salmonella Typhimurium. The developed model, therefore, may be useful for estimating the effects of storage temperature on the behavior of pathogens in different meat and poultry products and for microbial risk assessments evaluating meat safety.

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Kharisma Septika, Yomi, Ali Kusnanto, and Paian Sianturi. "Analisis Kestabilan Model Insidensi Setengah Jenuh pada Epidemi Flu Burung." Jurnal Matematika 11, no. 2 (2022): 87. http://dx.doi.org/10.24843/jmat.2021.v11.i02.p139.

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Abstract: The H5N1 avian influenza is an example of a pathogen that is known to cause human disease outbreaks. This study focuses on selecting avian influenza control strategies using Half-Saturated Incidence (HSI) Models. In this study, a model was constructed by involving elements of human self-protection, poultry isolation and poultry vaccination. Furthermore, it is shown that the parameters that influence are the parameters of the population that apply personal protection and its effectiveness, the parameters of the rate of isolation of birds with avian influenza, and the parameters of vaccine coverage and its effectiveness. Increasing the value of this parameter can reduce the basic reproduction number so that disease-free conditions can occur. Hence, controlling the dynamics of disease spread can be done by increasing the value of these parameters.

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Lysyk, T. J., and R. C. Axtell. "A SIMULATION MODEL OF HOUSE FLY (DIPTERA: MUSCIDAE) DEVELOPMENT IN POULTRY MANURE." Canadian Entomologist 119, no. 5 (1987): 427–37. http://dx.doi.org/10.4039/ent119427-5.

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AbstractDevelopmental times were determined at constant temperatures for egg–larval (prepupal) and egg–larval–adult (preadult) house flies in poultry manure. Developmental time decreased as temperature increased but declined at temperatures above 35°C. The average time from oviposition to pupation ranged from 26.8 days at 16°C to 5.2 days at 35°C, and the average time to adult emergence ranged from 43.1 to 8.8 days. Pupae were formed at 41°C, but no adults emerged above 38°C. The relationship between developmental rate and temperature was determined and used in a rate summation model to simulate prepupal and preadult developmental times in poultry manure, with manure bed temperature as input. The model was tested on the basis of developmental times determined in a poultry house during the fly-breeding season. The observed mean time to pupation under field temperatures ranged from 6.7 to 15.6 days, and adult emergence required from 12.5 to 27.1 days. Simulations were closest to the observed times when actual manure bed temperatures were used as input; however, soil temperatures obtained from a nearby weather station also provided satisfactory simulation results after an empirical correction was used.

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