Relevant bibliographies by topics / Actual farmer yields

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Academic literature on the topic 'Actual farmer yields'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Actual farmer yields"

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Abeyasekera, S., J. M. Ritchie, and J. Lawson-McDowall. "COMBINING RANKS AND SCORES TO DETERMINE FARMERS' PREFERENCES FOR BEAN VARIETIES IN SOUTHERN MALAWI." Experimental Agriculture 38, no. 1 (2002): 97–109. http://dx.doi.org/10.1017/s0014479702000182.

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Ranking and scoring exercises are common in participatory research work, for example in determining farmer preferences for crop varieties, tree species or other commodities. However, they rarely involve eliciting opinions of many individual farmers so as to establish the repeatability of study findings. This paper demonstrates ways in which ranking of evaluation criteria can be combined with evaluation scores to produce generalizable results concerning farmers' overall preference for a set of bean (Phaseolus vulgaris) varieties. The use of weighted indices is explored. Results were found to be
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Florence, Wairimu Ndungu, Kagiki Njogu Martin, and Kingori Gathungu Geoffrey. "Analysis of socioeconomic characteristics on coffee yield gap among smallholder farmers in Nyeri Central sub-county, Kenya." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2304–11. https://doi.org/10.5281/zenodo.14964663.

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Kenya’s coffee production has been declining over the years leading to decreased yields and making it hard for farmers to benefit from the sector. This has resulted in a considerable yield difference, with actual farmer yields far below the potential yields of station trials. This large yield gap reveals an enormous potential for yield improvement in coffee production. However, the large yield gap may be attributed to several factors, yet there is limited quantitative information on site-specific factors and the yield gap attributed to the factors. This study informs the knowledge gap by
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Gaire, Achyut, Samjhana Koirala, Ram Kumar Shrestha, and Lal Prasad Amgain. "Growth and Productivity of Different Cultivars of Rice Under Nutrient Expert© and Other Fertilizer Management Practices at Lamjung." International Journal of Applied Sciences and Biotechnology 4, no. 2 (2016): 178–82. http://dx.doi.org/10.3126/ijasbt.v4i2.14974.

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Rice is an important world leading cereal crop grown extensively in tropical and sub-tropical regions of the world. However, its productivity is constrained by a number of problems. Currently, cereal yields are only 40 to 65% of their potential, mostly because nutrient management does not consider crop’s dynamic response to the environment and site specific nutrition management. Therefore, a field experiment was conducted on farmer’s field at Lamjung, Sundarbazar and Bhoteodar using Nutrient Expert® rice model from July 2015 to November 2015. Four replications of 5 treatments were arranged in
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Prakash, Akshay, and Roysha Pandey. "Humanoid Farmer." Perspectives in Communication, Embedded-systems and Signal-processing - PiCES 4, no. 4 (2020): 28–33. https://doi.org/10.5281/zenodo.3974555.

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Farming is the backbone of the Indian economy and it has been unchartered territory for a technological solution. As of late one of the innovations, Artificial Intelligence has paved the way for digital farming. As an important sector, Indian farming has been facing various challenges like an abrupt change in climatic conditions, spoiling of yields, soil nutrient requirement, pest and weed control, and so forth. Robots with an emerging technique Artificial Intelligence with the integration of various sensors, enhance the better outcome. The network foundation and characteristic simulation of t
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Florence Wairimu Ndungu, Martin Kagiki Njogu, and Geoffrey Kingori Gathungu. "Analysis of socioeconomic characteristics on coffee yield gap among smallholder farmers in Nyeri Central sub-county, Kenya." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2304–11. http://dx.doi.org/10.30574/wjarr.2024.23.3.2647.

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Kenya’s coffee production has been declining over the years leading to decreased yields and making it hard for farmers to benefit from the sector. This has resulted in a considerable yield difference, with actual farmer yields far below the potential yields of station trials. This large yield gap reveals an enormous potential for yield improvement in coffee production. However, the large yield gap may be attributed to several factors, yet there is limited quantitative information on site-specific factors and the yield gap attributed to the factors. This study informs the knowledge gap by analy
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Murty, Mr P. Narasimha, and Dr N. V. Jagannadha Rao. "Assessing the Effectiveness of Agricultural Finance Schemes on Farmer Welfare: Evidence from Rayagada District, Odisha." IOSR Journal of Business and Management 27, no. 6 (2025): 80–84. https://doi.org/10.9790/487x-2706148084.

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This study evaluates the effectiveness of agricultural finance schemes on farmer welfare in Rayagada District, Odisha. Agricultural finance is vital for rural farmers, offering the necessary capital to boost productivity, invest in modern techniques, and improve livelihoods. Despite various government and private initiatives, the actual impact of these credit facilities on farmer welfare is still debated. Using a mixed-methods approach, the research analyses financial schemes such as Kisan Credit Cards (KCC), crop loans, and subsidy programs. Data was gathered through field surveys, farmer int
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Mooney, Daniel F., Scott M. Swinton, Cristian Subía, and Eduardo Peralta. "Returns to Disease Resistance Research When Pest Management Is an Option." Sustainability 14, no. 5 (2022): 2859. http://dx.doi.org/10.3390/su14052859.

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Resistant cultivars offer a pathway to sustainable intensification by maintaining yields and reducing inputs in the face of disease pressure. Past studies of economic returns to crop breeding research for disease resistance measured farm-level benefits, by comparing yields for improved resistant varieties (RVs) to susceptible traditional varieties. This approach will poorly approximate actual research benefits if non-RV pest management options exist, because it does not account for farmer pest control behavior. We propose a unit cost model that controls for farm-level yields and pesticide inpu
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Calabio, Jenny, Crisanto Lopez, and Ma Luisa Albacete. "Determination and Management of Nutrient-Deficient Irrigated Lowland Rice Soils." WVSU Research Journal 1, no. 1 (2012): 38–45. https://doi.org/10.59460/wvsurjvol1iss1pp38-45.

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The minus-one element technique or test (MOET) in assessing nutrient deficiency in lowland rice was used in the study. Based on the result of this test, the farmer's actual fertilizer management practice was compared with the research-based participative fertilizer management recommendation. Two farmers' fields were used as the test sites during the 2001-2002 dry and wet seasons. Nitrogen was deficient in both sites while phosphorus was only deficient in Pototan site based on the results of the MOET. In the dry season, the participative fertilizer management recommendation increased yield by 0
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Carberry, P. S., Z. Hochman, J. R. Hunt, et al. "Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops." Crop and Pasture Science 60, no. 11 (2009): 1044. http://dx.doi.org/10.1071/cp09052.

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Crop simulation models relevant to real-world agriculture have been a rationale for model development over many years. However, as crop models are generally developed and tested against experimental data and with large systematic gaps often reported between experimental and farmer yields, the relevance of simulated yields to the commercial yields of field crops may be questioned. This is the third paper in a series which describes a substantial effort to deliver model-based decision support to Australian farmers. First, the performance of the cropping systems simulator, APSIM, in simulating co
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Daniel, Hailu, and Gidey Rozina. "Productivity Potential and Yield gap estimation of pulse crops in Ethiopian Agriculture." Journal of Economics, Finance and Management Studies 5, no. 09 (2022): 2766–71. https://doi.org/10.5281/zenodo.7115340.

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This study aims to provide a detailed analysis of the pulse crops yield gaps for extra grain in production in Ethiopia. The study covers the period 2006/07-2020/21. Central Statistical Agency of Ethiopia (CSA) Agricultural Sample Survey (AgSS) and crop variety register issue of the Ministry of Agriculture (MoA) data were used for the analysis. The data was analyzed using descriptive statistics and econometric analysis. The descriptive analysis provides quantitative estimates of yield gaps to measure and compare yield potentials and actual yields. Pooled Mean-Group (PMG) model was used to analy
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Book chapters on the topic "Actual farmer yields"

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Zimba, Josephine M., and Emma T. Liwenga. "Effects of conservation agriculture on farmers' livelihoods in the face of climate change in Balaka district, Malawi." In Climate change impacts and sustainability: ecosystems of Tanzania. CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0044.

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Abstract Conservation agriculture (CA) has been highly promoted due to its potential to ensure high crop yields even in the face of changes in climatic factors. However, the actual benefits associated with CA are not only focused on food security but are also site specific. This study sought to understand the benefits of CA in improving livelihoods in a changing climate in Hanjahanja and Sawali sections of Bazale Extension Planning Area in Balaka District. Specifically, it analysed CA's contribution to farmers' livelihoods and also the challenges and opportunities of CA in climate change adapt
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Kurahara, Yoko, and Norihiro Itsubo. "Quantitative Environmental Impact Assessment for Agricultural Products Caused by Exposure of Artificial Light at Night." In Towards a Sustainable Future - Life Cycle Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77127-0_3.

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AbstractIncrease in artificial lighting at night adversely affects human activities, wild animals, plants, agricultural crops, and livestock. The Ministry of the Environment defines such adverse effects as “light pollution.” Rice is an agricultural crop subject to the influence of light environment. We used LED lighting rice plants (“Koshihikari” cultivar) grown in a paddy field owned by professional farmers for illumination during the night and evaluated its impact on the rice’s heading and yield by actual measurement. We also factored in the roadway light installed in the paddy field’s vicin
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Goswami, Moumita, Sanghita Bhattacharjee, and Suvamoy Changder. "A Novel Approach for Crop Yield Prediction Model Validation." In Data Science and Intelligent Computing Techniques, 2023rd ed. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-10.

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Agriculture is the backbone of the Indian economy, which is mainly dependent on nature. Nowadays, due to the random climatic changes, farmers are struggling to get a good amount of yield from the crops. Smart Agriculture is one of the crop management concepts that allows farmers to control the farm in all aspects. Crop prediction is a challenging task in the area of agriculture to increase crop productivity. Machine learning plays a vital role in crop yield prediction, including supportive decisions on what crops to produce. The main objective of this paper is to provide a double filter mechan
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Pal, Ranjit, Ghanshyam Abrol, Govind Vishwakarma, Sukanya Misra, and A. K. Singh. "FRUIT PRODUCTION AND ENHANCING FARMERS INCOME." In Futuristic Trends in Agriculture Engineering & Food Sciences Volume 3 Book 23. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bcag23ch14.

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India is blessed with a diverse range of climatic and soil conditions that allow it to grow various kinds of fruits from tropical, subtropical, and temperate zones. Horticulture is a vital and rapidly expanding sector of agriculture that helps to reduce poverty, enhance nutrition, and create income and employment opportunities for farmers and agro-industries. In recent years, horticulture has transformed into a more commercial venture than a rural one. This has drawn the attention of the private sector to invest in improving the production system. The adoption of technologies such as GIS based
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Running, Katrina. "Idaho's Eastern Snake Plain Aquifer: cooperative water policy change for Idaho's groundwater farmers." In Water Resources Allocation and Agriculture. IWA Publishing, 2022. http://dx.doi.org/10.2166/9781789062786_0203.

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Abstract In 2015, the state of Idaho finalized a cooperative five-year agreement between ground- and surface-water farmers in Idaho's Eastern Snake Plain Aquifer (ESPA). The agreement, which was the result of multi-decadal legal, regulatory, and policy disputes, stipulated a reduction in groundwater withdrawals for the purpose of replenishing the overdrawn aquifer. The state was constrained by its legacy water allocation doctrine called prior appropriation - a framework for water law informally referred to as ‘first-in-time, first-in-right' that prioritizes seniority when water rights are cont
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Kindra, Khushal, and Bhuvaneswari Amma N. G. "Crop Prediction for Smart Agriculture Using Ensemble of Classifiers." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9975-7.ch007.

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Nowadays due to the advancement in technology, smart agriculture is in the evolving stage. Agricultural farmers worldwide commonly utilize the process of cultivating and harvesting crops to produce food and fiber. Therefore, crop prediction is vital for smart agriculture and the proposed approach involves utilizing all the necessary resources to facilitate crop growth and maintenance. Crop cultivation used to be carried out based on farmers' actual experience. For farmers and agricultural decision-makers to make prompt and accurate judgments that will impact the caliber of agricultural harvest
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Ajina, A., K. G. Jaya Christiyan, L. Sunithbabau, Rajesh Natarajan, and Vishal Nandyal. "Advancements in Crop Yield Prediction Using Deep Learning Algorithms." In Advances in Chemical and Materials Engineering. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7250-0.ch008.

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Agriculture is at a critical crossroads due to the growing problems brought about by changing environmental conditions, particularly the effects of global warming and climate uncertainty. There has never been a greater urgent need for agricultural techniques to develop and adapt. Machine learning can also help farmers identify the most profitable crops to plant based on market demand and environmental factors. By analyzing historical market data and weather patterns, machine learning models can predict the demand for different crops and suggest optimal planting times and locations. Crop yield
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"Revolution." In Good Enough to Eat? Next Generation GM Crops. The Royal Society of Chemistry, 2019. http://dx.doi.org/10.1039/bk9781788010856-00052.

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The statistician will always tell you that the numbers don't lie, but have you actually framed the question correctly? Hopefully you're reading this book because you have a need to gain an understanding of the impact of genetic technologies on how crops are produced and what it means for you as a farmer or consumer. Or to put it another way, are GM crops good or bad? Spoiler alert! This chapter is mostly about the good, and as you are an educated reader you want to have a few facts. So you are obviously literate, and in all probability, also highly numerate. For illustrative purposes, it is no
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Kelly, Alan. "On the Origin of the Spices (and Other Foodstuffs)." In Molecules, Microbes, and Meals. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190687694.003.0005.

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The beginning of the story of food is what is termed food production. This might sound logically like the process of making food, such as a chef or food company might, but this term is rather generally used in food science to refer to the so-called primary production of food, from growth of crops to harvesting of fish and minding and milking of cows. Primary production is, for example, what farmers do, producing the food that is brought to the farm-gate, from where the processors take over. So the food chain runs, according to your preference for a snappy soundbite, from grass to glass (for mi
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Smith, Paul, Mark Fellows, David Coombs, and Andrew Mitchell. "An Overview of Costs in the Base Metal and Gold Mining Industries." In Wealth Creation in the Minerals Industry. Society of Economic Geologists, 2005. http://dx.doi.org/10.5382/sp.12.02.

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Abstract This paper examines certain capital and operating cost trends from the base metal and gold mining industries. The fundamental determinant of any mine’s capital and operating costs is the geology of the orebody; its size, shape, depth, mineralogy, and grade. Optimizing this mineral resource requires discretionary choices to be made regarding scale of operation, cutoff grade, mining method, and ore processing (beneficiation) route. However, the mine also has to operate under several fixed factors over which the operator has no control. The most fundamental of these is the geology of the
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Conference papers on the topic "Actual farmer yields"

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R, Surya, and Sukanya S. T. "Gradient Boosting and Naive Bayes Crop Yield Prediction and Fertilizer Recommendation." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/puyi9607/ngcesi23p11.

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Farmers use Big Data to get information on changing Weather, Rainfall, Fertilizer Usage, Rainfall, and other factors that impact the crop yield. The yield of a crop is mainly determined by the climatic conditions like Temperature, Rainfall, Soil Conditions, and Fertilizers. All of this information assists farmers in making accurate and dependable decisions that maximize their productivity from cultivating the land. Recently, the Machine Learning Algorithms are used by the researchers to predict the yield of a crop before its actual cultivation. Firstly, Pre-process the data in a Python environ
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Ceban, Alexandru, and Eugenia Lucasenco. "Tendințe actuale în dezvoltarea producției de cireșe în Republica Moldova." In Economic growth in the conditions of globalization: International Scientific-Practical Conference, XVIth edition. National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.ii.2022.16.18.

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In recent years, the production of cherries in the Republic of Moldova has been constantly increasing, reaching a significant share in the horticultural field in terms of area and share of value in the total value of agricultural production. The development of this sector has impacted the focus of many investors and experts from the agrarian sector, proved by the fact that during the period 2016-2021 it has contributed to the increase of both, the average yield per hectare by approximately more than 3 times in agricultural enterprises and peasant farms and the actual cherry production by more
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Mifsud, Michael D., Robert N. Farrugia, and Tonio Sant. "Investigating the Influence of MCP Uncertainties on the Energy Storage Capacity Requirements for Offshore Windfarms." In ASME 2019 2nd International Offshore Wind Technical Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/iowtc2019-7504.

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Abstract Recent studies have shown that the intermittency of wind energy can be mitigated by means of an energy storage system (ESS). Energy can be stored during periods of low energy demand and high wind availability to then be utilised during periods of high energy demand. Measure-Correlate-Predict (MCP) methodologies are used to predict the wind speed and direction at a wind farm candidate site, hence enabling the estimation of the power output from the wind farm. Once energy storage is integrated with the wind farm, it is no longer only a matter of estimating the power output from the wind
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Garrison, Jared B., and Michael E. Webber. "Optimization of an Integrated Energy Storage Scheme for a Dispatchable Wind Powered Energy System." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91186.

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The intermittency of wind and solar power and the mismatch between when they are available and when demand is high have hindered the expansion of these two primary renewable resources. The goal of this research is to analyze an integrated energy system (named DSWiSS for dispatchable solar wind storage system) that includes a novel configuration of wind and solar together with compressed air energy storage (CAES) that is driven from excess nighttime wind energy and thermal storage energized by concentrated solar power in order to make these sources dispatchable during peak demand. This paper bu
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SUBIû, Jonel, Biljana GRUJIû, and Svetlana ROLJEVIû NIKOLIû. "ECOLOGICAL AGRICULTURAL PRODUCTION – OPINIONS AND PRACTICES OF PRODUCERS IN SERBIA." In Competitiveness of Agro-Food and Environmental Economy. Editura ASE, 2022. http://dx.doi.org/10.24818/cafee/2019/8/03.

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Vegetable growing is one of the most intensive branches of agriculture, which is characterized by a high level of consumption of inputs, primarily fertilizers and pesticides. However, vegetable production can also be successfully achieved with reduced use of agrochemicals, actually in a more ecologically acceptable way. The aim of this paper was to examine the attitudes of vegetable producers in the area of eight local government units about ecologically acceptable cultivation practices for these crops. For the purpose of the research, one hundred and sixty vegetable producers were surveyed by
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Gordillo, Gerardo, and Kalyan Annamalai. "Gasification of Coal and Dairy Manure With Air-Steam as Oxidizing Agent." In ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference collocated with the ASME 2007 InterPACK Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ht2007-32128.

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The animal waste from feedlots (called feedlot biomass, FB) and dairy farms (called dairy biomass, DB) can contribute to surface or ground water contamination and air pollution problems with the release of greenhouse gases (CH4). In the present study, the feasibility of onsite gasification of DB with an air-steam mixture for production of H2 rich syngas (a mixture of H2 and CO) is considered. The composition of gases produced by DB is predicted using a) mass conservation and b) chemical equilibrium for adiabatic systems where heat produced by partial oxidation is used to strip H2 from steam. C
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Strasser, Wayne, and Francine Battaglia. "Pulsatile Primary Slurry Atomization: Effects of Viscosity, Circumferential Domain, and Annular Slurry Thickness." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53026.

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A central theme of our prior experimental and computational work on a transonic self-sustaining pulsatile three-stream coaxial airblast injector involved obtaining spectral content from compressible 2-D models and preliminary droplet size distributions from incompressible 3-D models. The three streams entail an inner low-speed gas, and outer high-speed gas, and an annular liquid sheet. Local Mach numbers in the pre-filming region exceed unity due to gas flow blockage by the liquid. Liquid bridging at somewhat regular intervals creates resonance in the feed streams. The effects of numerical dec
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Reports on the topic "Actual farmer yields"

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The cassava seed system in Nigeria: Opportunities and challenges for policy and regulatory reform. International Potato Center, 2020. http://dx.doi.org/10.4160/23096586rtbwp20202.

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In many African countries south of the Sahara, farmers depend on the cultivation of vegetatively propagated crops (VPCs) for both consumption and commercial purposes. Yet yields for these crops remain at low levels due, in part, to the persistent use of low-quality planting material. Efforts to improve the quality of planting material exchanged in markets or through other channels are often hampered by the unique biological and economic characteristics of vegetative propagation—characteristics that distinguish VPCs from the major cereal crops that drive and shape the policy and investment choi
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