Relevant bibliographies by topics / Agricultural Production Systems Simulator

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Agricultural Production Systems Simulator'

Author: Grafiati
Published: 10 January 2023
Last updated: 28 January 2023

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Journal articles on the topic "Agricultural Production Systems Simulator"

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Yu., Tararico, and Lukashuk V. "Intellectual decision-making technology in agricultural production." Artificial Intelligence 27, jai2022.27(1) (June 20, 2022): 219–28. http://dx.doi.org/10.15407/jai2022.01.219.

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Objective assessment of agro-resource potential of regions, understanding of the principles of forming the optimal structure of production in relation to soil and climatic conditions and energy potential, analysis of factors influencing the use of certain means of production, allows producers to make close to optimal current and strategic decisions. To do this, all industrial resources must be considered not separately, but in a complex structure of the agricultural production system in order to ensure the most rational use of them in optimal quantities and interaction. To strengthen the food security and energy independence of the state, it is necessary to form a powerful agricultural sphere of Ukraine. This is achieved through the rational use of agricultural resources, including solar energy through the binding of virtually unlimited resources of nitrogen, carbon, oxygen and hydrogen of the Earth's atmosphere in fats, proteins and hydrocarbons, provided mandatory recycling or reuse of minerals, balanced combination of biological and industrial resources and systematic increase of soil fertility. Therefore, it is necessary to make the transition from the traditional style of enterprise management, based on the production experience and intuition of managers and staff, to modern methods of decision-making that allow for operational and long-term planning with high accuracy and predictability. It is known that the main tool of systems analysis is modeling. The fundamental value of the model lies in its ability to change the real process. For most farms, the farm-wide experimentation procedure is either unacceptable or impractical. Such an experiment has too dangerous consequences for them. Therefore, when analyzing the problem, there is a need for a simulator of the researched enterprise, which could be used for testing instead of the real system. Such a simulator is a model that should reflect the most important patterns of transformation of natural, material, financial, informational, energy and labor resources into agricultural products. The result is a system of interconnected standard modules for determining indicators: production volumes, product prices, the amount of costs, the amount of credit required, the assessment of possible profits and the accumulation of own funds. Each of the considered production or economic indicators can be determined separately. The algorithm of the perspective information system presented in the work allows to comprehensively analyze the action and interaction of individual components of agricultural production and to make close to optimal strategic and current decisions at different levels of agro-industrial complex management.
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Carberry, PS, RL McCown, RC Muchow, JP Dimes, ME Probert, PL Poulton, and NP Dalgliesh. "Simulation of a legume ley farming system in northern Australia using the Agricultural Production Systems Simulator." Australian Journal of Experimental Agriculture 36, no. 8 (1996): 1037. http://dx.doi.org/10.1071/ea9961037.

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An innovative ley farming system, involving cereal crops grown in rotation with pasture legumes, has been tentatively adopted by farmers in the semi-arid tropics of northern Australia. Yet, after more than a decade of experimental research, the long-term
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Ojeda, Jonathan J., Jeffrey J. Volenec, Sylvie M. Brouder, Octavio P. Caviglia, and Mónica G. Agnusdei. "Evaluation of Agricultural Production Systems Simulator as yield predictor ofPanicum virgatumandMiscanthusxgiganteusin several US environments." GCB Bioenergy 9, no. 4 (July 29, 2016): 796–816. http://dx.doi.org/10.1111/gcbb.12384.

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Wajid, Aftab, Khalid Hussain, Ayesha Ilyas, Muhammad Habib-ur-Rahman, Qamar Shakil, and Gerrit Hoogenboom. "Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments." Agriculture 11, no. 11 (November 19, 2021): 1166. http://dx.doi.org/10.3390/agriculture11111166.

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Decision support systems are key for yield improvement in modern agriculture. Crop models are decision support tools for crop management to increase crop yield and reduce production risks. Decision Support System for Agrotechnology Transfer (DSSAT) and an Agricultural System simulator (APSIM), intercomparisons were done to evaluate their performance for wheat simulation. Two-year field experimental data were used for model parameterization. The first year was used for calibration and the second-year data were used for model evaluation and intercomparison. Calibrated models were then evaluated with 155 farmers’ fields surveyed for data in rice-wheat cropping systems. Both models simulated crop phenology, leaf area index (LAI), total dry matter and yield with high goodness of fit to the measured data during both years of evaluation. DSSAT better predicted yield compared to APSIM with a goodness of fit of 64% and 37% during evaluation of 155 farmers’ data. Comparison of individual farmer’s yields showed that the model simulated wheat yield with percent differences (PDs) of −25% to 17% and −26% to 40%, Root Mean Square Errors (RMSEs) of 436 and 592 kg ha−1 with reasonable d-statistics of 0.87 and 0.72 for DSSAT and APSIM, respectively. Both models were used successfully as decision support system tools for crop improvement under vulnerable environments.
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Afroz, Mahnaz Dil, Runwei Li, Khaleel Muhammed, Aavudai Anandhi, and Gang Chen. "Best Management Practices for Sustaining Agricultural Production at Choctawhatchee Watershed in Alabama, USA, in Response to Climate Change." Air, Soil and Water Research 14 (January 2021): 117862212199178. http://dx.doi.org/10.1177/1178622121991789.

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Climate change will ultimately result in higher surface temperature and more variable precipitation, negatively affecting agricultural productivity. To sustain the agricultural production in the face of climate change, adaptive agricultural management or best management practices (BMPs) are needed. The currently practiced BMPs include crop rotation, early planting, conservation tillage, cover crops, effective fertilizer use, and so on. This research investigated the agricultural production of BMPs in response to climate change for a Hydrologic Unit Code12 sub-watershed of Choctawhatchee Watershed in Alabama, USA. The dominating soil type of this region was sandy loam and loamy sand soil. Agricultural Production Systems sIMulator and Cropping Systems Simulation Model were used to estimate the agricultural production. Representative Concentration Pathway (RCP) 4.5 and RCP8.5 that projected a temperature increase of 2.3℃ and 4.7℃ were used as climate scenarios. The research demonstrated that crop rotation had positive response to climate change. With peanuts in the rotation, a production increase of 105% was observed for cotton. There was no consistent impact on crop yields by early planting. With selected peanut-cotton rotations, 50% reduced nitrogen fertilizer use was observed to achieve comparable crop yields. In response to climate change, crop rotation with legume incorporation is thus suggested, which increased crop production and reduced fertilizer use.
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Chatterjee, Amitava, and Saseendran S. Anapalli. "Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi." Water 14, no. 24 (December 9, 2022): 4022. http://dx.doi.org/10.3390/w14244022.

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Optimizing irrigation water use efficiency (WUE) is critical to reduce the dependency of irrigated cotton (Gossypium spp.) production on depleting aquifers. Cropping system models can integrate and synthesize data collected through experiments in the past and simulate management changes for enhancing WUE in agriculture. This study evaluated the simulation of cotton growth and evapotranspiration (ET) in a grower’s field using the CSM-CROPGRO-cotton module within the Decision Support System for Agrotechnology Transfer (DSSAT) and APSIM (Agricultural Production Systems simulator)-OzCot during 2017–2018 growing seasons. Crop ET was quantified using the eddy covariance (EC) method. Data collected in 2017 was used in calibrating the models and in 2018 validating. Over two cropping seasons, the simulated seedling emergence, flowering, and maturity dates were varied less than a week from measured for both models. Simulated leaf area index (LAI) varied from measured with the relative root mean squared errors (RRMSE) ranging between 20.6% to 38.7%. Daily ET deviated from EC estimates with root mean square errors (RMSEs) of 1.90 mm and 2.03 mm (RRMSEs of 63.1% and 54.8%) for the DSSAT and 1.95 mm and 2.17 mm (RRMSEs of 64.7% and 58.8%) for APSIM, during 2017 and 2018, respectively. Model performance varied with growing seasons, indicating improving ET simulation processes and long-term calibrations and validations are necessary for adapting the models for decision support in optimizing WUE in cotton cropping systems.
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Schwab, Charles V., Gretchen A. Mosher, and Saxon J. Ryan. "Agricultural Worker Injury Comparative Risk Assessment Methodology: Assessing Corn and Biofuel Switchgrass Production Systems." Journal of Agricultural Safety and Health 23, no. 3 (2017): 219–35. http://dx.doi.org/10.13031/jash.12245.

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Abstract. Keeping workers safe is a continuing challenge in agricultural production. Risk assessment methodologies have been used widely in other industries to better understand systems and enhance decision making, yet their use in production agriculture has been limited. This article describes the considerations and the approach taken to measure the difference in worker injury risks between two agricultural production systems. A model was developed specifically for the comparison of worker injury risk between corn and biofuel switchgrass production systems. The model is composed of injury and exposure values that were used in a Monte Carlo simulation. The output of this risk assessment shows that approximately 99% of the values from the Monte Carlo simulation rank corn production as a greater worker injury risk than biofuel switchgrass production. Furthermore, the greatest contributing factors for each production system were identified as harvest, and that finding aligns with current literature. Keywords: Agricultural production, Agricultural risk assessment, Agricultural safety, Biofuel production safety, Exposure distribution, Farm safety, Human safety risk assessment, Injury distribution, Monte Carlo, Regional risk assessment.
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Bartel, C. A., S. V. Archontoulis, A. W. Lenssen, K. J. Moore, I. L. Huber, D. A. Laird, and P. M. Dixon. "Modeling perennial groundcover effects on annual maize grain crop growth with the Agricultural Production Systems sIMulator." Agronomy Journal 112, no. 3 (March 18, 2020): 1895–910. http://dx.doi.org/10.1002/agj2.20108.

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Farré, Imma, Michael J. Robertson, Senthold Asseng, Robert J. French, and Miles Dracup. "Simulating lupin development, growth, and yield in a Mediterranean environment." Australian Journal of Agricultural Research 55, no. 8 (2004): 863. http://dx.doi.org/10.1071/ar04027.

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Simulation of narrow-leafed lupin (Lupinus angustifolius L.) production would be a useful tool for assessing agronomic and management options for the crop. This paper reports on the development and testing of a model of lupin development and growth, designed for use in the cropping systems simulator, APSIM (Agricultural Production Systems Simulator). Parameters describing leaf area expansion, phenology, radiation interception, biomass accumulation and partitioning, water use, and nitrogen accumulation were obtained from the literature or derived from field experiments. The model was developed and tested using data from experiments including different locations, cultivars, sowing dates, soil types, and water supplies. Flowering dates ranged from 71 to 109 days after sowing and were predicted by the model with a root mean square deviation (RMSD) of 4–5 days. Observed grain yields ranged from 0.5 to 2.7 t/ha and were simulated by the model with a RMSD of 0.5 t/ha. Simulation of a waterlogging effect on photosynthesis improved the model performance for leaf area index (LAI), biomass, and yield. The effect of variable rainfall in Western Australia and sowing date on yield was analysed using the model and historical weather data. Yield reductions were found with delay in sowing, particularly in water-limited environments. The model can be used for assessing some agronomic and management options and quantifying potential yields for specific locations, soil types, and sowing dates in Western Australia.
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Patrick Smith, F., Dean P. Holzworth, and Michael J. Robertson. "Linking icon-based models to code-based models: a case study with the agricultural production systems simulator." Agricultural Systems 83, no. 2 (February 2005): 135–51. http://dx.doi.org/10.1016/j.agsy.2004.03.004.

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Dissertations / Theses on the topic "Agricultural Production Systems Simulator"

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Rabie, Pierre-Andre. "A simulation model for evaluating the long-term financial impact of different wine grape production systems." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96864.

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ENGLISH ABSTRACT: Agricultural production takes place in an uncertain and complex environment, with production the result of the culmination of a variety of factors within a greater system. Consequently, accounting for the influence of variables in the production system is very difficult, making it a daunting task for decision makers to make good decisions. In the wine grape production context, this problem is accentuated due to the capital intensive and perennial nature of investments, also giving rise to a path dependency. As a result it is essential to make strategically sound decisions in order to ensure the long-term profitability and financial feasibility of wine grape production. Decision making tools, like a model, can be of invaluable support for strategic decision making. A model is used to simplify reality, by imitating and simulating the actual system as closely as possible. A simulation model was therefore developed for this thesis to be able to evaluate the long-term financial impact of different wine grape production systems and to support strategic decision making. This model can be adapted to individual farm specific features, scenarios and preferences, in the evaluation and analysis of different investment and wine grape production system decisions. For this study, the nature of agricultural systems as well as qualities required by a simulation model, were investigated. The former is followed by an investigation of the effect of the grapevine and trellis specific qualities on the possibilities of the production system, as well as the implication of capital budgeting and financing considerations on the performance of the wine grape production system. In view of the above, the model was then applied to simulate and evaluate different wine grape production systems as well as a structural transition and expansion of wine grape production, for a simulated farm in the Breedekloof region, South Africa. The model can be used for decision making and scenario planning purposes by wine grape producers and stakeholders in the wine industry.
AFRIKAANSE OPSOMMING: Landbouproduksie vind plaas in ‘n komplekse omgewing met talle onsekerhede, waar produksie die resultaat is van ‘n aantal faktore binne ‘n groter geheel. Die uitdaging is dus om die spesifieke invloed van veranderlikes binne die produksiestelsel waar te neem sodat besluitnemers ingeligte besluite op grond daarvan kan maak. In die verbouing van langtermyn gewasse, spesifiek die van wyndruif verbouing, word hierdie probleem beklemtoon vanweë die kapitaal intensiewe en meerjarige aard van investerings, wat aanleiding gee tot die afhanklikheid van vorige besluite. Ten einde die langtermyn winsgewendheid en lewensvatbaarheid van wyndruif produksie te verseker, is strategiese en ingeligte besluite deurslaggewend. Hulpmiddels in die besluitnemingsproses, soos modelle, kan onskatbare ondersteuning bied in hierdie konteks. Die doel van ‘n model is om ‘n werklike stelsel te weerspieël, maar terselfdertyd word vereenvoudigende aannames gemaak. Vir die doeleindes van hierdie tesis is ‘n simulasie model ontwikkel om die langtermyn finansiële impak van verskillende wyndruif produksiestelsels te weerspieël en strategiese besluitneming te bevorder. Hierdie model kan aangepas word vir die individuele vereistes, voorkeure en kenmerke van individuele plase, ten einde verskillende investeringsbesluite en wyndruifproduksiestelsels te evalueer. Vir die doeleindes van hierdie studie is die aard van die stelsel waarin landbouproduksie plaasvind, asook eienskappe wat benodig word deur ‘n simulasiemodel, om ‘n goeie weerspieëling van die werklikheid te kan gee ondersoek. Daarna is die invloed van die prieëlstelsel oorweging op die wingerdstok, die uitvoerbaarheid van verskillende bewerkingspraktyke, asook die invloed van kapitaal- en finansiëringsoorwegings op die prestasie van die wyndruifproduksiestelsel ondersoek. In die lig van bogenoemde oorwegings is die model gebruik om verskillende wyndruifproduksiestelsels te simuleer en te evalueer, asook om ‘n strukturele oorgang en uitbreiding vir ‘n plaas in die Breedekloofstreek in Suid-Afrika te ondersoek. Wyndruif produsente en belanghebbendes in die wynbedryf kan hierdie model in scenario beplanning en besluitneming gebruik.
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Prayitno, Shafiq. "Analysis of crop-machinery systems for wetland rice production." Thesis, University of Newcastle Upon Tyne, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386712.

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Mallory, Ellen B. "Crop/Livestock Integration Effects on Soil Quality, Crop Production, and Soil Nitrogen Dynamics." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/MalloryEB2007.pdf.

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Keerthipala, Adhikari Pathiranage. "Sustainability of small-holder sugarcane-based production systems in Sri Lanka." Thesis, University of Aberdeen, 1997. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU093678.

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This study analyses important technical, managerial and economic factors in relation to the long-run sustainability of the small-holder sugarcane-based production systems at the three main sugar mill areas in Sri Lanka. The sustainability is an issue in view of the low overall productivity and profitability of the Sri Lankan sugar industry, the absence of grower-miller and grower-grower equity, and environmental concerns over sugarcane cultivation and processing. The degree of sustainability was measured by a composite index involving the economic welfare of farm households, the viability of the sugar companies, grower-miller equity, and the fertility status of sugarcane-growing soils. The analysis was carried out by means of a dynamic and stochastic simulation model of small-holder sugarcane production, and sugar and molasses processing. The model consists of production and processing sub-models, together with subsidiary sub-models for cane and ex-factory sugar pricing, rice production and off-farm activities. It uses primary data from a farmer survey, and secondary data from sugar companies, sugarcane experiments and other sources. The results indicate that productivity of sugarcane farming and sugar processing is mainly affected by technical/management factors, and profitability by both technical/management and economic factors. The existing cane payment systems are not equitable in dividing the proceeds of sugar and by-product processing. An alternative formula, which takes into account the commercial value of cane, and divides sugar proceeds in proportion to cost shares and by-product proceeds on an agreed proportion, ensures greater grower-miller equity. In most situations, sugarcane cultivation does not degrade N fertility of soils, but it depletes P and K. Overall, the level of sustainability is low for both settler and out-grower systems under the existing conditions at Hingurana and average for Pelwatte and the irrigated system at Sevanagala. For the rain-fed system at Sevanagala, it is above average.
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Holliman, James Bret Adrian John. "An economic analysis of integrating hydroponic tomato production into an indoor recirculating aquacultural production system." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Theses/HOLLIMAN_JAMES_4.pdf.

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Gulbenkian, Marcos. "The potentials for improvement of traditional sheep cheese production systems in Portugal." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333431.

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Ortiz, Oblitas Oscar Ernesto. "The information system for IPM in subsistance potato production in Peru." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388581.

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Lowman, James Scott. "Utilizing Beneficial Bacterial Endophytes to Promote Switchgrass Growth in Low- input Agricultural Production Systems." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/56480.

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The US Department of Energy has focused research efforts on developing switchgrass into a bioenergy feedstock, helping to offset the use of non-renewable fossil fuels and make the US more energy independent. Bacterial endophytes, which reside inside plant tissues, are proven to increase yield and stress resistance in a number of plants. The primary objective of this dissertation was to explore the use of endophytes to improve biomass yields of switchgrass on lands not suitable for food crops and better understand the underlying mechanisms of the plant-endophyte interaction. Integration of this research into K-12 STEM education to increase interest in plant sciences and create the next generation of scientists with the motivation to help solve the challenges facing society in the twenty first century was the objective of the outreach component of this project. Chapter one demonstrates the ability of Burkholderia phytofirmans strain PsJN to colonize switchgrass and promote plant growth under in vitro (approximately 50% higher), and growth chamber and greenhouse (48.6% higher biomass yields) conditions. The objectives of Chapter two were to determine stand establishment in the field with different nutrient levels. PsJN bacterization positively benefited growth and development of switchgrass seedlings in the field with both low and high nutrient content. Highly significant (p<0.001) stimulation of root and shoot growth, lateral root formation and number of tillers was recorded on soil with low fertility. PsJN bacterization also enhanced biomass accumulation during the two seasons of growth on both poor (p<0.001) and rich (p<0.05) soil, indicating the potential for the use of PsJN in a low-input switchgrass feedstock production system. Chapter three outlines differences in gene expression patterns upon bacterization, between the responsive cv. Alamo, and a non-responsive cv. Cave-in-Rock. Using EST microarrays and quantitative PCR up- and down-regulated genes were identified in both cultivars. One of the key genes identified was a member of the tau class, glutathione S-transferase (GST). GST enzymes are known to be involved in plants responses to stress. Using overexpression and knockout/knockdown techniques we demonstrated that GST is likely involved in the bacterization induced early plant growth promotion in switchgrass. Chapter four describes the potential for the utilization of beneficial bacterial endophytes capable of fixing atmospheric nitrogen in a free-living state in the development of low-input switchgrass feedstock production systems. Sphingomonas sp. strain NSL isolated from switchgrass tissue was able to grow on nitrogen free medium and stimulated growth of switchgrass cv. Alamo under nitrogen deficient conditions. The ability to fix atmospheric nitrogen was also moved to Burkholderia phytofirmans strain PsJN via horizontal gene transfer from the legume nodulating Burkholderia phymatum. The transformed PsJN was able to fix nitrogen and promote plant growth under nitrogen limited conditions. At every step of the research described in this dissertation efforts were made to include its elements into K-12 education. Chapter five describes four case studies aiming at the enhancement of youth interest in plant sciences in the socieoeconomically depressed areas of Southside Virginia.
Ph. D.
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Dammur, Manoj. "Stimulating national biogas production : The case of Swedish agricultural wastemanagement." Thesis, Linköpings universitet, Industriell miljöteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172019.

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Swedish state has been promoting alternative renewable fuels like biogas to reduce the dependency on fossil fuels and to curb related greenhouse gas emissions. Owing to many policies like subsidies and tax exemptions for using biogas, the country has seen a surge in demand for biogas. Meanwhile, the increase in production of biogas in Sweden has been modest in recent years, though many studies have estimated substantially higher potentials from many sources. Agricultural feedstock/biomass is one among these sources where production and use of biogas could address many challenges faced by farmers like agricultural waste management, soil nutrient management, methane emissions from manure etc. while closing the nutrient cycle and contributing to sustainability.This work is an investigation on how to stimulate the growth of biogas production based on agricultural feedstock/biomass production in Sweden. Since policies give different results in different states/countries depending on the local preconditions, locally developed policies, national policies and EU policies should integrate well in all the policy sectors in that particular region to give the intended result. The current production capacity is about 2 TWh worth of biogas/year but the theoretical potential is estimated to be up to 15 TWh that has been claimed by many researches and literature works like in (Westlund, et al., 2019). Much of the potential has not been explored especially in the field of agriculture. It is asserted in many articles that the true potential of biogas production from Swedish agriculture is far greater than what is produced today. Yet, all the regulations, financial and other financial instruments failed to stimulate local biogas production in Sweden to attain its full theoretical potential. The results presented in this study show where these policies failed and what else apart from the policies could be improved in order promote biogas production.Farmers are hesitant to invest in biogas production because of the complexity and unpredictability of the existing policies. There has been significant negative impact from lack technological training of anaerobic digestion (AD) technology. This is also reflected as difficulties in finding trained and dedicated staff for biogas plant operations. Low profitability of biogas business exists ever since the production started and the financial aids are insufficient. Strict digestate regulations along with worsening substrate competition also creates problems. Permits to run the biogas plants are perceived to be expensive alongside increasing investment costs and taxes, affecting already low profitability. There is also a lack of infrastructure in terms of electricity/gas grid connectivity. Feed in tariffs for electricity produced from renewable sources are not bringing enough profitability to the business. Technological improvements are needed in terms of agricultural machinery that can use upgraded biogas as fuel and treatment of digestate to eliminate heavy metal content. Producers need more long term, sure market for their biogas.
Biogasmarknadsutredningen of BRC
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Sleeper, Adam Maxey Sibley Jeffrey Lynn Chappell Jesse Alan. "Integration of intensive aquaculture and horticulture crop production." Auburn, Ala., 2009. http://hdl.handle.net/10415/1953.

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Books on the topic "Agricultural Production Systems Simulator"

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Tsuji, Gordon Y. Understanding Options for Agricultural Production. Dordrecht: Springer Netherlands, 1998.

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Akinyemi, Okoro M. Agricultural production: Organic and conventional systems. Enfield, N.H: Science Publishers, 2007.

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1940-, Doering Otto C., ed. Effects of climate change and variability on agricultural production systems. Boston: Kluwer Academic Publishers, 2002.

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Doering, Otto C., J. C. Randolph, Jane Southworth, and Rebecca A. Pfeifer, eds. Effects of Climate Change and Variability on Agricultural Production Systems. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0969-1.

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Salisbury, Lance. Agro-pastoral crop production in the Central Rangelands: El Bur, El Der, and Bulo Burte districts. [Mogadishu]: USAID/Somalia, 1989.

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Lieberg, Albert. Farming systems analysis and development for programme adjustment policies and sustainable production: The Clarendon Uplands of Jamaica. Hamburg: Dr. Kovač, 1994.

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Perucca, Clorinda. Diagnostic paysager des systèmes de production paysans de la province de Misiones, Argentine. Montpellier, France: Institut agronomique méditerranéen de Montpellier, Centre international de hautes études agronomiques méditerranéennes, 1992.

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European Community Club of Advanced Engineering for Agriculture. Possibilities offered by new mechanisation systems to reduce agricultural production costs. Luxembourg: Commission of the European Communities. Directorate-General VI of Agriculture, 1992.

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Second, Chantal. Systèmes agraires, systèmes de production en Afrique de l'Ouest (et Madagascar): Bibliographie. Montpellier [France]: Département Systèmes agraires du CIRAD, 1986.

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Okigbo, Bede. Development of sustainable agricultural production systems in Africa: Roles of international agricultural research centers and national agricultual research systems. [Ibadan, Nigeria]: International Institute of Tropical Agriculture, 1991.

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Book chapters on the topic "Agricultural Production Systems Simulator"

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Micheni, Alfred, Patrick Gicheru, and Onesmus Kitonyo. "Conservation agriculture for climate smart agriculture in smallholder farming systems in Kenya." In Conservation agriculture in Africa: climate smart agricultural development, 431–42. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0027.

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Abstract Climate change is any significant change in climatic conditions. Such changes may negatively affect productivity of the rain-fed agriculture practised by over 75% of the smallholder Kenyan farmers. The effect leads to failure to sustainably provide adequate food and revenue to famers. It is on this basis that an almost 8-year field study was conducted to evaluate and scale climate resilient agricultural technological options associated with Conservation Agriculture (CA) systems and practices (no-till; maintenance of permanent soil cover; and crop diversification - rotations and associations), complemented with good agricultural strategies. The activities involved were targeted to sustainably increase productivity of maize-legumes farming systems while reducing environmental risks. The results showed improved soil properties (physical, chemical and health) and consequently increased crop yields and human nutrition by over 30%. Such benefits were attributed to cost savings arising from NT and reduced labour requirement for weed control. This was further based on enhanced crop soil moisture and nutrients availability and use efficiency leading to over 25% yield increase advantage. Apart from the field trials, the study used the Agricultural Production Simulator (APSIM) computer model to simulate CA scenario with the aim of providing potential quick answers to adopting CA practices for farm system productivity. The results were inclusively shared, leading to over 21% increase in the number of farmers adopting the CA practices within and beyond the project sites. The study's overall recommendation affirmed the need to integrate the CA practices into Kenyan farming systems for sustainable agricultural livelihoods and economic opportunities.
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Guarin, Jose Rafael, and Senthold Asseng. "Improving Wheat Production and Breeding Strategies Using Crop Models." In Wheat Improvement, 573–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_31.

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AbstractCrop simulation models are robust tools that enable users to better understand crop growth and development in various agronomic systems for improved decision making regarding agricultural productivity, environmental sustainability, and breeding. Crop models can simulate many agronomic treatments across a wide range of spatial and temporal scales, allowing for improved agricultural management practices, climate change impact assessment, and development of breeding strategies. This chapter examines current applications of wheat crop models and explores the benefits from model improvement and future trends, such as integration of G × E × M and genotype-to-phenotype interactions into modeling processes, to improve wheat (Triticum spp.) production and adaptation strategies for agronomists, breeders, farmers, and policymakers.
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Cox, P. G., K. A. Parton, A. D. Shulman, and P. E. Ridge. "On the articulation of simulation and heuristic models of agricultural production systems." In Applications of Systems Approaches at the Farm and Regional Levels Volume 1, 213–28. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5416-1_17.

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Li, Chen, Chunhong Zhang, Bin Zhou, Ziyu Wang, Jiankai Zuo, and Shuang Li. "An Agricultural Network Production and Marketing Strategy Based on Evolutionary Simulated Annealing and Greedy Algorithm." In Advances in Intelligent Systems and Computing, 342–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69999-4_46.

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Spedding, C. R. W. "Crop Production Systems." In An Introduction to Agricultural Systems, 130–40. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-6408-5_11.

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Spedding, C. R. W. "Animal Production Systems." In An Introduction to Agricultural Systems, 141–53. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-6408-5_12.

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Spedding, C. R. W. "Industrial Food Production Systems." In An Introduction to Agricultural Systems, 154–60. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-6408-5_13.

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Smidt, Dieter. "Improvements in Production Systems." In European Agricultural Research in the 21st Century, 130–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03692-1_20.

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Penning De Vries, F. W. T. "Rice production and climate change." In Systems approaches for agricultural development, 175–89. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2840-7_10.

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de Vries, F. W. T. Penning. "Rice production and climate change." In Systems approaches for agricultural development, 175–89. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2842-1_10.

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Conference papers on the topic "Agricultural Production Systems Simulator"

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Forestello, Marco, Pandeli Borodani, Davide Colombo, Patrizio Turco, and Riccardo Morselli. "Simulation and Field Experiments With an Agricultural Tractor of a Robust Control for a Complete Fluid Power Circuit Using a New Electro-Hydraulic Pump: Part I—Modelling." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25228.

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Recently, agricultural tractors fuel consumption is growing, as a consequence of an increased number of components supplied. Otherwise, the increased sensitivity for environmental protection and global market competition are pointing out evermore urgent needs for significant improvement of fuel economy. With normal components of standard production tractors, dimensioned for the worst case operating conditions, is difficult to reduce consumptions. In this study, it is dealt with an innovative configuration where, the main hydraulic pump is substituted with a new electro-hydraulic one, with aim to optimize the operating points. To manage the pump by an appropriate control strategy, is fundamental to understand the characteristics and the dynamic properties of the hydraulic circuit fed by the pump. The purpose of this part of the paper is to describe the modeling activity that cover this necessity.
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Pap, Zoltan. "Uncertainty in agricultural production planning." In 2009 7th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2009. http://dx.doi.org/10.1109/sisy.2009.5291152.

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Arnulfi, Gianmario L., and Marco Fabris. "A Stand-Alone Syngas-Fuelled Small-Size CHP GT." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63656.

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Efforts are being made to achieve environmental sustainability by combining heat and power production and exploiting renewable resources, in order to save primary energy and reduce greenhouse gas emissions. This study concerns a stand-alone 1-megawatt plant composed of a wood pyrolyzer and a combined heat and power plant based on a gas turbine. Care is devoted to saving the solid-state product of the pyrolysis reaction (biochar), both to produce agricultural fertilizer and to sequester carbon dioxide, i.e., the emissions avoided by not burning biochar. The plant is simulated by three in-house codes: gas turbine off-design performance, pyrolysis process and time-by-time integrated plant working. A quasi steady-state, lumped parameter approach is adopted. While components models are taken from the literature, solver algorithms are partly original. In this first step of the research, a stand-alone plant with a zero-volume syngas tank is analyzed. Technical aspects alone, without considering economic or legal implications, are investigated. Our simulation suggests that there is no primary energy saving in comparison with separate heat and power systems, as shaft efficiency is too low, but that a remarkable saving in greenhouse gas emissions can be achieved.
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Reyes, Julio, and Santiago Ochoa. "Agricultural Production and Environmental Pollution: Relationship between Agricultural Methane Gas Emissions, Agricultural Production and Exports of ICT Services in Latin America." In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2021. http://dx.doi.org/10.23919/cisti52073.2021.9476457.

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Takai, Yuichiro, Kazutaka Miyatake, Kunishi Miyoshi, and Yas Takashima. "Renovation of Salad Machine for Profitable Agricultural Production." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2432.

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Pap, Zoltan. "Crop rotation constraints in agricultural production planning." In 2008 6th International Symposium on Intelligent Systems and Informatics (SISY 2008). IEEE, 2008. http://dx.doi.org/10.1109/sisy.2008.4664951.

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Carter, Thomas P., James W. Furlong, Sean P. Bushart, and Jessica Shi. "Power Plant Heat Rejection System Modeling and Comparison." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64446.

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As noted in a Summer 2007 EPRI Journal article entitled Running Dry At The Power Plant, “Securing sufficient supplies of fresh water for societal, industrial, and agricultural uses while protecting the natural environment is becoming increasingly difficult in many parts of the United States. Climate variability and change may exacerbate the situation through hotter weather and disrupted precipitation patterns that promote regional drought.” [1] Currently, in the United States, thermoelectric power production accounts for approximately 41% of freshwater withdrawals [2] and 3% of overall fresh water consumption. [3] The Electric Power Research Institute, EPRI, as part of its Technology Innovation (TI) program, is collaborating with Johnson Controls to conduct a feasibility study comparing the performance of a water saving Thermosyphon Cooling Hybrid System (TCHS) with other heat rejection systems for power plant applications. The TCHS employs a sensible heat rejection device, a thermosyphon cooler (TSC) in conjunction with an evaporative heat rejection device, an open cooling tower, to satisfy the annual cooling requirements of a given power plant. By reducing the evaporative heat load, the TCHS can significantly reduce the annual water consumed for cooling while still maintaining peak power plant output on the hottest summer days. Details of the interactive simulation program developed to compare various power plant heat rejection systems on an annual 8,760 hourly basis are discussed. Examples of the types of results and comparisons that can be made from the data obtained from the simulation program are presented.
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Matsumoto, Y., H. Hibino, N. Kubo, M. Kimura, and Y. Mizukami. "Modelling and simulation of agricultural production system based on IoT cultivated fields information." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8289911.

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"Robotic systems in crop breeding and seed production." In AGRICULTURAL INFORMATION TECHNOLOGY AND ENGINEERING AGROINFO-2021. SFSCA RAS, 2021. http://dx.doi.org/10.26898/agroinfo-2021-337-343.

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da Silva Mendonca, Rafael, Andre Luiz Duarte Cavalcante, and Vicente Ferreira de Lucena. "Proposal of a simulator for evolutionary production systems." In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2017. http://dx.doi.org/10.1109/etfa.2017.8247741.

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Reports on the topic "Agricultural Production Systems Simulator"

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Pritchett, John W. Development of an Advanced Stimulation / Production Predictive Simulator for Enhanced Geothermal Systems. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1178043.

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Takeshima, Hiroyuki, Xinshen Diao, and Patrick Ohene Aboagye. Policies for competitive and sustainable agricultural production systems: a case study of Ghana’s recent mechanization interventions. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293946_05.

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Matenga, Chrispin, and Munguzwe Hichaambwa. A Multi-Phase Assessment of the Effects of COVID-19 on Food Systems and Rural Livelihoods in Zambia. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/apra.2021.039.

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COVID-19 was declared a pandemic by the World Health Organization in March 2020. The speed with which the pandemic spread geographically, and the high rate of mortality of its victims prompted many countries around the world to institute ‘lockdowns’ of various sorts to contain it. While the global concern in the early months following the emergence of COVID-19 was with health impacts, the ‘lockdown’ measures put in place by governments triggered global socioeconomic shocks as economies entered recessions due to disruption of economic activity that the ‘lockdown’ measures entailed. Data suggests that the socioeconomic shocks arising from ‘lockdowns’ have been more severe in sub-Saharan Africa countries, generating dire livelihood consequences for most citizens who depend on the informal economy for survival. In Zambia, the effects of COVID-19 combined with a severe drought, and a decline in mining activity to contribute to a downward spiral in Zambia’s economy. This report aims to gain real-time insights into how the COVID-19 crisis was unfolding in Zambia and how rural people and food and livelihood systems were responding. The study focused on documenting and understanding the differential impacts of the pandemic at the household level in terms of changes in participation in farming activities, availability of services for agricultural production, labour and employment, marketing and transport services, food and nutrition security and poverty and wellbeing.
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Crisosto, Carlos, Susan Lurie, Haya Friedman, Ebenezer Ogundiwin, Cameron Peace, and George Manganaris. Biological Systems Approach to Developing Mealiness-free Peach and Nectarine Fruit. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7592650.bard.

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Peach and nectarine production worldwide is increasing; however consumption is flat or declining because of the inconsistent eating quality experienced by consumers. The main factor for this inconsistent quality is mealiness or woolliness, a form of chilling injury that develops following shipping periods in the global fruit market today. Our research groups have devised various postharvest methods to prolong storage life, including controlled atmosphere and delayed storage; however, these treatments only delay mealiness. Mealiness texture results from disruption of the normal ripening process involving disassembly of cell wall material, and creates a soft fruit texture that is dry and grainy instead of juicy and smooth. Solving this problem is a prerequisite for increasing the demand for fresh peach and nectarine. Two approaches were used to reveal genes and their associated biochemical processes that can confer resistance to mealiness or wooliness. At the Volcani Center, Israel, a nectarine cultivar and the peach cultivar (isogenetic materials) from which the nectarine cultivar spontaneously arose, and at the Kearney Agricultural Center of UC Davis, USA, a peach population that segregates for quantitative resistance to mealiness was used for dissecting the genetic components of mealiness development. During our project we have conducted research integrating the information from phenotypic, biochemical and gene expression studies, proposed possible candidate genes and SNPs-QTLs mapping that are involved in reducing peach mealiness susceptibility. Numerous genes related to ethylene biosynthesis and its signal transduction, cell wall structure and metabolism, stress response, different transcription factor families were detected as being differentially accumulated in the cold-treated samples of these sensitive and less sensitive genotypes. The ability to produce ethylene and keep active genes involved in ethylene signaling, GTP-binding protein, EIN-3 binding protein and an ethylene receptor and activation of ethyleneresponsive fruit ripening genes during cold storage provided greater resistance to CI. Interestingly, in the functional category of genes differentially expressed at harvest, less chilling sensitive cultivar had more genes in categories related to antioxidant and heat sock proteins/chaperones that may help fruit to adapt to low temperature stress. The specific objectives of the proposed research were to: characterize the phenotypes and cell wall components of the two resistant systems in response to mealiness- inducing conditions; identify commonalities and specific differences in cell wall proteins and the transcriptome that are associated with low mealiness incidence; integrate the information from phenotypic, biochemical, and gene expression studies to identify candidate genes that are involved in reducing mealiness susceptibility; locate these genes in the Prunus genome; and associate the genes with genomic regions conferring quantitative genetic variation for mealiness resistance. By doing this we will locate genetic markers for mealiness development, essential tools for selection of mealiness resistant peach lines with improved fruit storability and quality. In our research, QTLs have been located in our peach SNPs map, and proposed candidate genes obtained from the integrated result of phenotypic, biochemical and gene expression analysis are being identified in our QTLs as an approach searching for consistent assistant markers for peach breeding programs.
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Morgan, Miranda, Alastair Stewart, and Simone Lombardini. Making Market Systems Work for Women Farmers in Zambia: A final evaluation of Oxfam's Gendered Enterprise and Markets programme in the Copperbelt region of Zambia. Oxfam GB, December 2019. http://dx.doi.org/10.21201/2019.5389.

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Gendered Enterprise and Markets (GEM) is Oxfam GB’s approach to market systems development. The GEM approach facilitates change in market systems and social norms, with the aim of ensuring more sustainable livelihood opportunities for marginalized women and men. The GEM DFID AidMatch Programme (June 2014–February 2018) worked within the soya, milk and vegetable value chains targeting women smallholder farmers in areas of poverty. The programme aimed to benefit 63,600 people (10,600 smallholder households) living in Zambia, Tajikistan and Bangladesh through increases in household income, women having greater influence over key livelihood decisions within their households and communities, and engaging in livelihoods more resilient to shocks, such as natural disasters and market volatility. In Zambia, the GEM programme has been implemented in four districts of the Copperbelt Province in coordination with implementing partners Heifer Programmes International and the Sustainable Agricultural Programme (SAP). The GEM programme in the Copperbelt seeks to directly improve the livelihoods of an estimated 4,000 smallholder farmers (75 percent women) in the dairy and soya value chains through improved production skills, resilience to climate risks, access to market opportunities, greater engagement with market players and strengthened ability to influence private sector and government actors. The evaluation was designed to investigate if and how the GEM programme might have contributed to its intended outcomes – not only in the lives of individual women smallholder farmers targeted by the programme but also to changes in their communities and the larger market system. It also sought to capture any potential unintended outcomes of the programme.
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Velázquez López, Noé. Working Paper PUEAA No. 7. Development of a farm robot (Voltan). Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.005r.2022.

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Over the last century, agriculture has evolved from a labor-intensive industry to one that uses mechanized, high-powered production systems. The introduction of robotic technology in agriculture could be a new step towards labor productivity. By mimicking or extending human skills, robots overcome critical human limitations, including the ability to operate in harsh agricultural environments. In this context, in 2014 the development of the first agricultural robot in Mexico (“Voltan”) began at Chapingo Autonomous University. The research’s objective was to develop an autonomous multitasking vehicle for agricultural work. As a result of this development, a novel suspension system was created. In addition, autonomous navigation between crop rows was achieved through computer vision, allowing crop monitoring, fertilizer application and, in general, pest and disease control.
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Lynch, John, Tara Garnett, Martin Persson, Elin Röös, and Andy Reisinger. Methane and the sustainability of ruminant livestock. Food Climate Research Network, May 2020. http://dx.doi.org/10.56661/25320192.

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The environmental sustainability of our food production methods, and what kinds of agricultural systems might be compatible with keeping global warming below internationally agreed upon limits, are key topics for sustainable food systems research and policy. Since the food system is an important emitter of three different greenhouse gases; carbon dioxide, methane and nitrous oxide; greater clarity as to their warming impacts and their consequent contribution to climate change is needed.
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Walsh, Margaret, Peter Backlund, Lawrence Buja, Arthur DeGaetano, Rachel Melnick, Linda Prokopy, Eugene Takle, Dennis Todey, and Lewis Ziska. Climate Indicators for Agriculture. United States. Department of Agriculture. Climate Change Program Office, July 2020. http://dx.doi.org/10.32747/2020.7201760.ch.

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The Climate Indicators for Agriculture report presents 20 indicators of climate change, carefully selected across multiple agricultural production types and food system elements in the United States. Together, they represent an overall view of how climate change is influencing U.S. agriculture and food systems. Individually, they provide useful information to support management decisions for a variety of crop and livestock production systems. The report includes multiple categories of indicators, including physical indicators (e.g., temperature, precipitation), crop and livestock (e.g., animal heat stress), biological indicators (e.g., pests), phenological indicators (e.g. seasonality), and socioeconomic indicators (e.g., total factor productivity).
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Janowiak, Maria, Daniel Dostie, Michael Wilson, Michael Kucera, Howard Skinner, Jerry Hatfield, David Hollinger, and Christopher Swanston. Adaptation Resources for Agriculture: Responding to Climate Variability and Change in the Midwest and Northeast. United States Department of Agriculture, January 2018. http://dx.doi.org/10.32747/2018.6960275.ch.

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Changes in climate and extreme weather are already increasing challenges for agriculture nationally and globally, and many of these impacts will continue into the future. This technical bulletin contains information and resources designed to help agricultural producers, service providers, and educators in the Midwest and Northeast regions of the United States integrate climate change considerations and action-oriented decisions into existing farm and conservation plans. An Adaptation Workbook provides producers a flexible, structured process to identify and assess climate change impacts, challenges, opportunities, and farm-level adaptation tactics and continuously evaluate adaptation actions for improving responses to extreme and uncertain conditions. A synthesis of Adaptation Strategies and Approaches serves as a “menu” of potential responses organized to provide a clear rationale for making decisions by connecting planned actions to broad adaptation concepts. Responses address both short- and long-range timeframes and extend from incremental adjustments of existing practices to major alterations that transform the entire farm operation. Example adaptation tactics—prescriptive actions for agricultural production systems common in the region—for each approach guide producers, service providers, and educators to develop appropriate responses for their farms and location. Four Adaptation Examples demonstrate how these adaptation process resources are used.
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Palmborg, Cecilia. Fertilization with digestate and digestate products – availability and demonstration experiments within the project Botnia nutrient recycling. Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, 2022. http://dx.doi.org/10.54612/a.25rctaeopn.

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To increase our food security in Västerbotten we will need to become more self-sufficient of both energy, feed and nutrients that are now imported to the region. Biogas production from different waste streams is one solution to this. Biogas is produced using biowaste or sewage sludge as substrate in the major cities Umeå and Skellefteå. Biogas systems offer a range of benefits to society. Biogas production is currently prized for its climate benefits when replacing fossil fuels for the production of heat, electricity and vehicle gas, but at Bothnia Nutrient Recycling we have studied how to use the digestate, i.e. the residual product of production, as fertilizer in agriculture. We have been working to improve profitability for biogas producers and develop sustainable products from recycled nutrients, like phosphorus and nitrogen. Improving the uses for digestate increases self-sufficiency in agriculture and contributes to a circular economy. We conducted three agricultural demonstration experiments in collaboration with agricultural high schools in Finland and Sweden to introduce digestate and digestate products to the future farmers in the regions. We found that it may be possible to replace cattle slurry with compost when growing maize despite the low levels of nitrogen, N, available to plants in the compost. In barley, NPK fertilizers gave the highest yield. Digestate from HEMAB and sludge biochar supplemented with recycled ammonium sulphate gave a smaller yield but higher than unfertilized crop. Digestate from a dry digestion biogas plant in Härnösand was better suited to barley than to grass because in an experiment on grass ley the viscous fertilizer did not penetrate the grass and did not increase the growth of the grass. Fertilizer effects on crop quality were small. There was no increased uptake of heavy metals in barley after fertilization with digestate or digestate products compared to NPK fertilization. These demonstration experiments show that more thorough scientific experimentation is needed as a foundation for recommendations to farmers. The amounts of nitrogen and phosphorous in digestate from Västerbotten that could become used as fertilizer were modelled. It showed that if sewage sludge digestate is used to make sludge biochar and ammonium sulphate and the other available digestates are used directly in agriculture, the entire phosphorous demand but only a small part of the nitrogen demand in the county, could be covered. Thus, to achieve a true circular food production, development and increase of both the waste handling sector and agriculture is needed.
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