Relevant bibliographies by topics / Productivity maps

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Productivity maps'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Productivity maps"

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Rozhkov, V. A., and A. Z. Shvidenko. "The first digital maps of biological productivity parameters." Eurasian Soil Science 43, no. 11 (November 2010): 1202–10. http://dx.doi.org/10.1134/s1064229310110025.

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Oral, Emel Laptali, and Mustafa Oral. "Predicting construction crew productivity by using Self Organizing Maps." Automation in Construction 19, no. 6 (October 2010): 791–97. http://dx.doi.org/10.1016/j.autcon.2010.05.001.

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Dalposso, Gustavo Henrique, Miguel Angel Uribe-Opazo, and Fernanda De Bastiani. "Spatial-temporal Analysis of Soybean Productivity Using Geostatistical Methods." Journal of Agricultural Studies 9, no. 2 (May 2, 2021): 283. http://dx.doi.org/10.5296/jas.v9i2.18494.

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To have information about the soybean productivity over the crop years is essential to define strategies to increase profits and reduce costs and most important to reduce environmental impacts. One form of monitoring is the use of Geostatistical methods, which allow us to obtain maps with more accurate predictions. In this paper, an area of 127.16 ha was studied during six crop years between 2012/2013 and 2017/2018. We found that productivity values vary between crop years, mainly due to uncontrollable climatic factors. The removal of influential points caused changes in the predicted values showed in the maps, and the use of scaled semivariograms allowed us to obtain similar maps to those obtained considering the model without influential points, then there was no need to exclude observations. The use of a model with replicates helped to identify regions where productivity was lower. The use of explanatory variables allowed us to elaborate a more accurate thematic map in the 2017/2018 crop year, which was well evidenced by the prediction standard error map.
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Kim, Jeong-Cheol, Hyung-Sup Jung, and Saro Lee. "Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images." Remote Sensing 11, no. 19 (September 30, 2019): 2285. http://dx.doi.org/10.3390/rs11192285.

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This study analyzed the Groundwater Productivity Potential (GPP) of Okcheon city, Korea, using three different models. Two of these three models are data mining models: Boosted Regression Tree (BRT) model and Random Forest (RF) model. The other model is the Logistic Regression (LR) model. The three models are based on the relationship between groundwater-productivity data (specific capacity (SPC) and transmissivity (T)) and the related hydro-geological factors from thematic maps, such as topography, lineament, geology, land cover, and etc. The thematic maps which are generated from the remote sensing images. Groundwater productivity data were collected from 86 wells locations. The resulting GPP maps were validated through area-under-the-curve (AUC) analysis using wells data that had not been used for training the model. When T was used in the BRT, RF, and LR models, the obtained GPP maps had 81.66%, 80.21%, and 85.04% accuracy, respectively, and when SPC was used, the maps had 81.53%, 78.57%, and 82.22% accuracy, respectively. The LR model, which is a statistical model, showed the highest verification accuracy, also the other two models showed high accuracies. These observations indicate that all three models can be useful for groundwater resource development.
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Nakamura, Noboru, Teruaki Yuta, Mariko Senda, and Taku Mizuta. "Monitoring Avian Productivity and Survivorship (MAPS) Programin Fukushima, Japan (2018 to 2020)." Journal of the Yamashina Institute for Ornithology 53, no. 1 (June 30, 2021): 44–56. http://dx.doi.org/10.3312/jyio.53.44.

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Gopalakrishnan, Ranjith, Jobriath Kauffman, Matthew Fagan, John Coulston, Valerie Thomas, Randolph Wynne, Thomas Fox, and Valquiria Quirino. "Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery." Forests 10, no. 3 (March 6, 2019): 234. http://dx.doi.org/10.3390/f10030234.

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Sustainable forest management is hugely dependent on high-quality estimates of forest site productivity, but it is challenging to generate productivity maps over large areas. We present a method for generating site index (a measure of such forest productivity) maps for plantation loblolly pine (Pinus taeda L.) forests over large areas in the southeastern United States by combining airborne laser scanning (ALS) data from disparate acquisitions and Landsat-based estimates of forest age. For predicting canopy heights, a linear regression model was developed using ALS data and field measurements from the Forest Inventory and Analysis (FIA) program of the US Forest Service (n = 211 plots). The model was strong (R2 = 0.84, RMSE = 1.85 m), and applicable over a large area (~208,000 sq. km). To estimate the site index, we combined the ALS estimated heights with Landsat-derived maps of stand age and planted pine area. The estimated bias was low (−0.28 m) and the RMSE (3.8 m, relative RMSE: 19.7%, base age 25 years) was consistent with other similar approaches. Due to Landsat-related constraints, our methodology is valid only for relatively young pine plantations established after 1984. We generated 30 m resolution site index maps over a large area (~832 sq. km). The site index distribution had a median value of 19.4 m, the 5th percentile value of 13.0 m and the 95th percentile value of 23.3 m. Further, using a watershed level analysis, we ranked these regions by their estimated productivity. These results demonstrate the potential and value of remote sensing based large-area site index maps.
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Suszek, Grazieli, Eduardo G. de Souza, Miguel A. Uribe-Opazo, and Lucia H. P. Nobrega. "Determination of management zones from normalized and standardized equivalent produtivity maps in the soybean culture." Engenharia Agrícola 31, no. 5 (October 2011): 895–905. http://dx.doi.org/10.1590/s0100-69162011000500007.

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Through the site-specific management, the precision agriculture brings new techniques for the agricultural sector, as well as a larger detailing of the used methods and increase of the global efficiency of the system. The objective of this work was to analyze two techniques for definition of management zones using soybean yield maps, in a productive area handled with localized fertilization and other with conventional fertilization. The sampling area has 1.74 ha, with 128 plots with site-specific fertilization and 128 plots with conventional fertilization. The productivity data were normalized by two techniques (normalized and standardized equivalent productivity), being later classified in management zones. It can be concluded that the two methods of management zones definition had revealed to be efficient, presenting similarities in the data disposal. Due to the fact that the equivalent standardized productivity uses standard score, it contemplates a better statistics justification.
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Chang, Jinfeng, Philippe Ciais, Mario Herrero, Petr Havlik, Matteo Campioli, Xianzhou Zhang, Yongfei Bai, et al. "Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management." Biogeosciences 13, no. 12 (June 29, 2016): 3757–76. http://dx.doi.org/10.5194/bg-13-3757-2016.

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Abstract. Grassland management type (grazed or mown) and intensity (intensive or extensive) play a crucial role in the greenhouse gas balance and surface energy budget of this biome, both at field scale and at large spatial scale. However, global gridded historical information on grassland management intensity is not available. Combining modelled grass-biomass productivity with statistics of the grass-biomass demand by livestock, we reconstruct gridded maps of grassland management intensity from 1901 to 2012. These maps include the minimum area of managed vs. maximum area of unmanaged grasslands and the fraction of mown vs. grazed area at a resolution of 0.5° by 0.5°. The grass-biomass demand is derived from a livestock dataset for 2000, extended to cover the period 1901–2012. The grass-biomass supply (i.e. forage grass from mown grassland and biomass grazed) is simulated by the process-based model ORCHIDEE-GM driven by historical climate change, rising CO2 concentration, and changes in nitrogen fertilization. The global area of managed grassland obtained in this study increases from 6.1 × 106 km2 in 1901 to 12.3 × 106 km2 in 2000, although the expansion pathway varies between different regions. ORCHIDEE-GM also simulated augmentation in global mean productivity and herbage-use efficiency over managed grassland during the 20th century, indicating a general intensification of grassland management at global scale but with regional differences. The gridded grassland management intensity maps are model dependent because they depend on modelled productivity. Thus specific attention was given to the evaluation of modelled productivity against a series of observations from site-level net primary productivity (NPP) measurements to two global satellite products of gross primary productivity (GPP) (MODIS-GPP and SIF data). Generally, ORCHIDEE-GM captures the spatial pattern, seasonal cycle, and interannual variability of grassland productivity at global scale well and thus is appropriate for global applications presented here.
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Alegria, Cristina, Natália Roque, Teresa Albuquerque, Paulo Fernandez, and Maria Margarida Ribeiro. "Modelling Maritime Pine (Pinus pinaster Aiton) Spatial Distribution and Productivity in Portugal: Tools for Forest Management." Forests 12, no. 3 (March 19, 2021): 368. http://dx.doi.org/10.3390/f12030368.

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Research Highlights: Modelling species’ distribution and productivity is key to support integrated landscape planning, species’ afforestation, and sustainable forest management. Background and Objectives: Maritime pine (Pinus pinaster Aiton) forests in Portugal were lately affected by wildfires and measures to overcome this situation are needed. The aims of this study were: (1) to model species’ spatial distribution and productivity using a machine learning (ML) regression approach to produce current species’ distribution and productivity maps; (2) to model the species’ spatial productivity using a stochastic sequential simulation approach to produce the species’ current productivity map; (3) to produce the species’ potential distribution map, by using a ML classification approach to define species’ ecological envelope thresholds; and (4) to identify present and future key factors for the species’ afforestation and management. Materials and Methods: Spatial land cover/land use data, inventory, and environmental data (climate, topography, and soil) were used in a coupled ML regression and stochastic sequential simulation approaches to model species’ current and potential distributions and productivity. Results: Maritime pine spatial distribution modelling by the ML approach provided 69% fitting efficiency, while species productivity modelling achieved only 43%. The species’ potential area covered 60% of the country’s area, where 78% of the species’ forest inventory plots (1995) were found. The change in the Maritime pine stands’ age structure observed in the last decades is causing the species’ recovery by natural regeneration to be at risk. Conclusions: The maps produced allow for best site identification for species afforestation, wood production regulation support, landscape planning considering species’ diversity, and fire hazard mitigation. These maps were obtained by modelling using environmental covariates, such as climate attributes, so their projection in future climate change scenarios can be performed.
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KAWAJI, Noritomo, and Tatsuya NAKADA. "Effective Use of the Monitoring Avian Productivity and Survivorship (MAPS) Program in Japan." Bulletin of the Japanese Bird Banding Association 27, no. 1 (2015): 14–22. http://dx.doi.org/10.14491/jbba.00065.

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Dissertations / Theses on the topic "Productivity maps"

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Paes, Vasco Maria Tareco Brito. "Análise da variabilidade espácio-temporal da produtividade de milho numa parcela na região da Golegã." Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5351.

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Mestrado em Engenharia Agronómica - Instituto Superior de Agronomia
The promise of precision agriculture is to enable a farm manager to manage large areas of an agricultural crop with the detail with which one manages a garden that is to effectively and efficiently use resources as only a garden can, as a result of its small size. This goal is extremely timely in the current context of agriculture, since there is the need to produce very high quality service at low cost and in an environmentally sustainable manner. This work was devoted to a study of a basic precision agriculture resource: the yield map. For this valuable tool will become a key part in the process of decision making, it is necessary that their use is correct ie firstly, that the yield map is accurate and free of major sources of error, and secondly, that yield map(s) can be manipulated in order to extract from the maximum added value. In this thesis we investigated methods based on filters to effectively eliminate major errors in the data from yield monitor. The successive filters were able to remove about 20-30% of the original data having any type of error, and allow the construction of more accurate and reliable yield maps. Also that it allow for an increased spatial dependence. This step is essential in order to use yield map in the decision process. Subsequently, the corrected yield maps have a potential, which should be exploited. Thus, there are several recovery operations of the yield maps, from the descriptive statistics of the variability, through the interpretation of patterns of variability, the relative productivity maps, the gross margin maps, as well as the spatio-temporal analysis and impact of variability that farm manager to provide a very significant added value in order to optimize the management of their plots. After evaluating economic, technical and logistics, optimization of management of the plot may involve to the application of different production inputs using VRT technology. It is important for this purpose, initially, the identification of homogeneous management zones. In the case of the field that was studied, a center pivot in Golegã it was identified water stress as the cause of spatial variability and loss of productivity.
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Fynn, Iris Ekua Mensimah. "Pond aquaculture spatial distribution, production and productivity determinants in Ghana." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/71664.

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The choice of a suitable site for any aquaculture practice is a critical decision to make since it has a large impact on the economic profitability of the venture, considering the fact that location defines the amount of capital needed, production costs, yield and access to market. The limited public and private sector support for small-scale aquaculture can be optimized if farms are zoned into areas with relatively similar performance and needs. Considering the high rate at which aquaculture is increasing globally and its consequent impact on the environment, it is projected that improvements will be made in the practices employed in aquaculture. As these improvements are made, there is the need for the review of the location of aquaculture infrastructure and services in order to increase the productivity of the sector. Also, aquaculture statistics such as location of farms and production estimates are fundamental to policy making and development planning at both national and global levels. Aquaculture statistics are however chronically scanty or unreliable in developing countries such as Ghana. Thus, the goal of this study was to show the relative suitability of areas in Ghana for aquaculture and identify the key variables to be considered in the development (including improvement of existing farms) of the aquaculture sector of the country. I used satellite imagery and GIS data in combination with field observations and questionnaires, to develop a map of the feasibility of pond aquaculture in Ghana and provide a reliable estimate of the number of ponds, their areas, productivity and aggregate production in the country. The main factors that have influenced the current distribution of pond aquaculture in Ghana are population density (indicating the availability of markets, input and labor) and proximity to stream and road networks. My results show a gross underestimation of the number of fish ponds in the country and smaller sizes of ponds than existing records suggest. The average water depth of ponds in Ghana is only half of the recommended depth which explained over 80% of the variation in productivity among farms. I estimated the contribution of ponds to domestic fish production to be two to three times what has been previously reported, but still well below the potential. The results of this study will be vital to current national and international efforts to improve aquaculture enterprises in Ghana.
Master of Science
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Schons, Charles Luís. "MAPEAMENTO DA COMPACTAÇÃO EM ÁREA IRRIGADA DE GRÃOS E SUA CORRELAÇÃO COM CONDUTIVIDADE ELÉTRICA DO SOLO E PRODUTIVIDADE DA SOJA." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/4815.

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The Precision Agriculture is a management tool that allows you to evaluate, analyze and intervene with actions in the correct location, at the correct time with the correct agricultural input and with the more profitably way, decreasing the spatial variability of the area also allowing increases in productivity with rationalization of resources. In economic terms, the use of this technology allows the prioritization of investments in areas where the potential for production is more effective, ensuring a bigger economic return. The geostatistics has become an important tool because it allows us to study the behavior of the spatial variability, both of chemical and of physical nature, allows to the producer to combine this information with the productivity maps and thus make decisions that can increase production efficiency. The objective of this study was to evaluate through maps of soil compaction and electrical conductivity which of these factors is more correlated with soybean yield in irrigated area. The work was conducted in the municipality of Pejuçara, RS. The first step was the acquisition of productivity map at harvest of the crop soybeans 2013-2014, in a demarcated area of 47 hectares. After was carried the work to yield maps of soil compaction on three layers of soil, collected in 190 points in the area, and the data were interpolated with CR Campeiro 7. For the assessment of soil electrical conductivity, we used the equipment Veris 3100 which made assessments at depths 0-30 and 30-90 cm deep. After the evaluations, it was found that much of the area is compacted. From the analyzes performed, it was not possible to notice the correlation between productivity and the variables studied. These facts lead us to conclude that in irrigated area the soil compaction is not able to affect, so severely in the levels detected, the development of culture.
A Agricultura de Precisão é uma ferramenta de gestão que permite avaliar, analisar e intervir com ações no local correto, na hora correta com o insumo correto e da maneira mais rentável, diminuindo a variabilidade espacial da área permitindo também aumentos na produtividade com racionalização dos recursos.Em termos econômicos, a utilização desta tecnologia possibilita a priorização de investimentos em áreas onde o potencial de produção seja mais efetivo, garantindo maior retorno econômico. A geoestatística se tornou uma importante ferramenta pois permite estudar o comportamento da variabilidade espacial, além de poder também quantificar o seu tamanho. Estudos da variabilidade espacial, tanto de natureza química quanto física, permite ao produtor aliar essas informações aos mapas de produtividade e assim tomar decisões que possam aumentar a eficiência da produção.O objetivo desse trabalho foi avaliar através de mapas de compactação de solo e condutividade elétrica quais desses fatores que mais se correlacionam com a produtividade de soja em área irrigada.O trabalho foi realizado no município de Pejuçara, RS, onde sua primeira etapa foi a aquisição do mapa de produtividade na colheita da soja safra 2013-2014, numa área demarcada de 47 ha. Após realizou-se o trabalho para originar os mapas de compactação de solo em três camadas de solo, coletados em 190 pontos da área, sendo que os dados obtidos foram interpolados com o CRCampeiro7. Para a avaliação da condutividade elétrica do solo, utilizou-se o equipamento Veris 3100 o qual fez avaliações nas camadas de 0-30 e 30-90 cm de profundidade. Após as avaliações feitas, verificou-se que grande parte da área encontra-se compactada, não sendo possível perceber correlação entre produtividade e as variáveis estudadas. Esses fatos nos levam a concluir que em área irrigada a compactação de solo não é capaz de afetar, com tanta severidade, até os níveis detectados, o desenvolvimento da cultura.
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Myatt, Taylor Scott. "Preservation, Education, and Rehabilitation: A Wildlife Conservation Internship at Brukner Nature Center." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1493336910350278.

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Felipe, Pedro Otavio de Mello. "AVALIAÇÃO DO DESEMPENHO DO PROGRAMA CR CAMPEIRO 7 PARA ANÁLISE DAS PROPRIEDADES QUÍMICAS DO SOLO E MAPAS DE PRODUTIVIDADE." Universidade Federal de Santa Maria, 2010. http://repositorio.ufsm.br/handle/1/9592.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
This work is to present and discuss the Precision Farming in a simple way through the routines of the precision farming into the system Campeiro CR-7 and its performance in order to analyze the spatial variability of soil properties and productivity. Chapter I The Loop Sampling, provides a tutorial on developing a sampling plan for spatial assessment of physic-chemical properties of soil by means of geostatistical techniques, the sampling plan can contribute significantly to reducing the cost of collection of samples as well as quality of these samples. Chapter II Map of Fertility analyzes a tool that assists the user in the classification of levels of soil fertility, and the result presented in map form, where the final map is a cross between a map that contains phosphorus in the soil and map showing the clay making the recommendation to apply phosphorus fertilizer supplier to more precise areas where there is more than one class of clay. Chapter III Productivity Map filtering is performed on the data collection, making it possible to make a map of productivity consistent with the reality of the field with a greater reliability of the data, providing information relevant to agricultural management.
Este trabalho consiste em apresentar e discutir a Agricultura de Precisão de forma simples, através das rotinas de Agricultura de Precisão do Sistema CR-Campeiro 7, conjunto de programas elaborado no Departamento de Engenharia Rural da Universidade Federal de Santa Maria UFSM, Laboratório de Geomática, concebido e programado pelo Prof. Dr. Enio Giotto, e o desempenho desses programas, visando à análise da variabilidade espacial de propriedades químicas do solo e da produtividade. O Capítulo I Malha de Amostragem traz um tutorial sobre a elaboração de um plano de amostragem para avaliação espacial de propriedades físico-químicas de solo por meio de técnicas geoestatísticas; o plano de amostragem pode contribuir de forma relevante para diminuição do custo de coleta de amostras como também para a qualidade dessas amostras. O Capítulo II Mapa de Fertilidade analisa uma ferramenta que auxilia o usuário na classificação dos níveis de fertilidade do solo, sendo o resultado apresentado em forma cartográfica, onde o mapa final é a integração temática entre o mapa que contem os teores de Fósforo no solo e o mapa que apresenta os teores de Argila, tornando a recomendação para aplicação de fertilizantes fornecedores de Fósforo mais precisas para áreas onde ocorre mais de uma classe de Argila. No Capítulo III Mapa de Produtividade é realizada uma filtragem nos dados de colheita, tornando possível a confecção de um mapa de produtividade coerente com a realidade do campo, com uma confiabilidade maior dos dados, fornecendo informações relevantes ao gerenciamento agrícola.
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Cocco, Leonardo Burin. "UTILIZAÇÃO DE FERRAMENTAS DE AGRICULTURA DE PRECISÃO NA DEFINIÇÃO DE ZONAS DE MANEJO." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/4832.

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Precision agriculture (AP) appears as a permissible tool to manage rationally the spatial and temporal variability of soil chemical attributes in order to effectively maximize the use of agricultural areas. However, in some situations visualized a low correlation between the chemical soil properties and crop productivity, emphasizing the need for development of AP to seek alternatives and tools for the definition of management zones. In recent years, they have gained prominence studies of parameter attributes of plant canopies, and the Vegetation Index (NDVI) the best known. This study aimed to evaluate the use of AP tools to define management zones in the central region of Rio Grande do Sul. The work was conducted with the culture of the agricultural year 2014/15 corn in an area of 15.1 hectares in the municipality of Julio de Castilhos, RS, managed with irrigation center pivot. The spatial variability of soil attributes and plants was characterized based on the collection of information on a sampling grid of 0.5 ha, totaling 32 points in the experimental area. The Landsat satellite images (NDVI) with a spatial resolution of 30 x 30 m were processed enabling the production of productivity map and the definition of management zones in the area. The soil properties have high variance in the standard deviation (S) and coefficient of variation (CV%) of phosphorus (18.16 and 42.46), potassium (38.263 and 25.80), aluminum saturation (4,63 and 130.14) sulfur (6.72 and 40.57) and manganese (7.32 and 30.23). The analysis of the statistical and geostatistical to dry mass (28,10% CV and r2 = 0.96) and corn (11.85% CV and r2 = 0.99). The Pearson correlation was significant positively to productivity of corn kernels indicated the clay, base saturation, calcium, SMP index, magnesium and NDVI; indicated dry weight organic material, SMP index CTC pH7 and magnesium. Among the different methods of zones positive correlation between dry matter areas of stubble and productivity with altitude zone, chemical attributes zone and NDVI zone. The use of satellite images made it possible to guarantee the evaluation of different management zones.
A agricultura de precisão (AP) surge como uma ferramenta permitindo manejar de forma racional a variabilidade espacial e temporal dos atributos químicos do solo com objetivo de maximizar eficientemente o uso das áreas agrícolas. Entretanto, em algumas situações visualiza-se uma baixa correlação entre os atributos químicos do solo e a produtividade das culturas, destacando-se a necessidade da evolução da AP em buscar ferramentas e alternativas para a definição de zonas de manejo. Nos últimos anos, têm ganhado destaque os estudos sobre parametrização de atributos dos dosséis vegetais, sendo o Índice de Vegetação por Diferença Normalizada (NDVI) o mais conhecido. O presente trabalho teve como objetivo avaliar a utilização de ferramentas de AP na definição de zonas de manejo na região central do Rio Grande do Sul. O trabalho foi conduzido com a cultura do milho (Zea mays L.) ano agrícola 2014/15, numa área de 15,1 hectares no município de Júlio de Castilhos, RS, manejada com irrigação por pivô central. A variabilidade espacial de atributos de solo e de plantas foi caracterizada com base na coleta de informações numa malha amostral de 0,5 ha, totalizando 32 pontos na área experimental. As imagens de satélite Landsat (NDVI) com resolução espacial de 30 x 30 m foram processadas possibilitando a confecção de mapa de produtividade e a definição de zonas de manejo da área. Os atributos do solo possuem alta variância no desvio padrão (S) e coeficiente de variação (CV%) do fósforo (18,10 e 42,46), potássio (38,26 e 25,80), saturação por alumínio (4,63 e 130,14), enxofre (6,72 e 40,57) e manganês (7,32 e 30,23). A análise da estatística e geoestatísticos para produção de massa seca (28,10 CV % e r2=0,96) e produtividade grãos de milho (11,85 CV % e r2=0,99). A correlação linear de Pearson foi significativa positivamente para produtividade de grãos de milho indicou a argila, saturação por bases, cálcio, índice SMP, magnésio e NDVI; massa seca indicou matéria orgânica, índice SMP, CTC pH 7 e magnésio. Entre os diferentes métodos das zonas de manejo a correlação positiva entre as zonas de massa seca da resteva e produtividade com zona de altitude, zona atributos químicos e zona de NDVI. A utilização de imagens de satélites possibilitou a garantia da avaliação de diferentes zonas de manejo.
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Alotaibi, Meteab Aujian. "Productivity enhancement through process integration." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4204.

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A hierarchical procedure is developed to determine maximum overall yield of a process and optimize process changes to achieve such a yield. First, a targeting procedure is developed to identify an upper bound of the overall yield ahead of detailed design. Several mass integration strategies are proposed to attain maximum yield. These strategies include rerouting of raw materials, optimization of reaction yield, rerouting of product from undesirable outlets to desirable outlets, and recycling of unreacted raw materials. Path equations are tailored to provide the appropriate level of detail for modeling process performance as a function of the optimization variables pertaining to design and operating variables. Interval analysis is used as an inclusion technique that provides rigorous bounds regardless of the process nonlinearities and without enumeration. Then, a new approach for identification of cost-effective implementation of maximum attainable targets for yield is presented. In this approach, a mathematical program was developed to identify the maximum feasible yield using a combination of iterative additions of constraints and problem reformulation. Next, cost objectives were employed to identify a cost-effective solution with the details of design and operating variables. Constraint convexification was used to improve the quality of the solution towards globability. A trade-off procedure between the saving and expenses for yield maximization problem is presented. The proposed procedure is systematic, rigorous, and computationally efficient. A case study was solved to demonstrate the applicability and usefulness of the developed procedure.
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Santos, Paulo Ricardo Alves dos. "Corn consortium with forage: attributes physical soil and productivity." Universidade Federal do CearÃ, 2016. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=17324.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico
The intensification of agricultural production systems is increasing in the current agriculture. In this sense, the simultaneous planting forage to grain crops, constitutes an alternative in the intensification of the production system, which can increase or not the productivity of the main crop, and produce straw for mulching. In order to check the occurrence of changes in the physical properties of the soil and in corn yield and dry matter production due to the corn consortium / forage in two sowing dates, this study was conducted in the experimental area of the Department of Agricultural Engineering of the Federal University of CearÃ. The design was used in a randomized block design in a factorial scheme (3x2) + 1 with four replications, totaling 28 experimental units. The treatments consisted of three forages: Brachiaria, Panicum maximum cv. MombaÃa and Crotalaria spectabilis intercropped with maize in two of fodder sowing dates, between the lines of simultaneous sowing maize (season 1 - E1) and corn leading the V4 stage of corn (season 2 - E2), and the control. The results showed that intercropping maize / forage did not interfere in phytotechnical characteristics of corn, nor in productivity, however produced changes in soil physical properties when the day of sowing in season 1. Despite the changes that have occurred in the soil, they were not sufficient to enhance the productivity of maize, which could possibly be related assessments on only one crop cycle. But when the goal was the production of dry straw, it is concluded that fodder Brachiaria brizantha and Mombasa at the time 1 (E1) are recommended
A intensificaÃÃo dos sistemas de produÃÃo agrÃcola à cada vez maior na atual agricultura. Nesse sentido, o plantio simultÃneo de forrageiras com culturas produtoras de grÃos, constitui em uma alternativa na intensificaÃÃo do sistema de produÃÃo, que poderà incrementar ou nÃo a produtividade da cultura principal, alÃm de produzir palha para cobertura do solo. Com o objetivo de verificar a ocorrÃncia de mudanÃas nas propriedades fÃsicas do solo, bem como na produtividade do milho e produÃÃo de matÃria seca em funÃÃo do consÃrcio milho/forrageiras em duas Ãpocas de semeadura, o presente trabalho foi conduzido na Ãrea experimental do Departamento de Engenharia AgrÃcola da Universidade Federal do CearÃ. Foi utilizado o delineamento em blocos ao acaso, no esquema fatorial (3x2) + 1 com quatro repetiÃÃes, totalizando 28 unidades experimentais. Os tratamentos foram constituÃdos por trÃs forrageiras: Brachiaria brizantha, Panicum maximum cv. MombaÃa e CrotalÃria spectabilis consorciadas com o milho em duas Ãpocas de semeadura das forrageiras, na entrelinha do milho simultÃneo a semeadura (Ãpoca 1 â E1) e na entrelinha do milho no estÃdio V4 do milho (Ãpoca 2 â E2), alÃm da testemunha. Os resultados permitiram concluir que a consorciaÃÃo milho/forrageiras nÃo interferiram nas caracterÃsticas fitotÃcnicas do milho, nem tampouco, na produtividade, porÃm proporcionaram modificaÃÃes nas propriedades fÃsicas do solo quando da realizaÃÃo da semeadura na Ãpoca 1. Apesar das modificaÃÃes ocorridas no solo, as mesmas nÃo foram suficientes em incrementar a produtividade do milho, o que possivelmente pode estar relacionado as avaliaÃÃes em apenas um ciclo da cultura. Jà quando o objetivo foi a produÃÃo de matÃria seca de palha, conclui-se que as forrageiras Brachiaria Brizantha e MombaÃa na Ãpoca 1 (E1) sÃo recomendadas
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Hecker, Timothy. "The era of megaphonics: on the productivity of loud sound, 1880-1930." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123058.

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This thesis examines a cultural interest in loud sound as a productive force between 1880 and 1930. Recent historical scholarship on sound at the turn of the 20th century has given substantial attention to noise abatement movements and their efforts to control public space. In shifting the focus towards a significant collection of people interested in the generative aspects of sonic power and its ability to paralyze the body, empty the mind and even threaten life is to suggest ways in which idealist or utopian hopes were interlaced with an idea of sonic agency. This thesis looks at three aspects of the megaphonic: firstly, the push to build the world's loudest instrument, a pipe organ; secondly, the proliferation of powerful fog-signalling along North American coastlines; and lastly, the development of shock-wave science and the increasing understanding of sound as a physical and mortal force.
Cette thèse examine un intérêt culturel pour le son fort comme force productive entre 1880 et 1930. De récentes recherches historiques sur le son au début du 20e siècle ont accordé une attention considérable aux mouvements d'atténuation du bruit et à leurs efforts pour contrôler l'espace public. En déplaçant l'accent vers un important groupe de personnes intéressés par les aspects générateurs de puissance du son et leur capacité à paralyser le corps, vider l'esprit et même menacer la vie suggère des façons dont certaines aspirations idéalistes ou utopiques ont eu une dimension sonore. Cette thèse porte sur trois aspects du mégaphone: d'une part, la pression de construire l'instrument au son le plus puissant du monde, un orgue à tuyaux, d'autre part, la prolifération de puissants signaux de brume le long des côtes nord-américaines et, enfin, le développement de la science de l'onde de choc et la compréhension croissante du son comme une force physique et mortelle.
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Herselman, Jolandi. "Rate and yield dependency of Actinobacillus succinogenes on dissolved CO2 concentration." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/61295.

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Carbon dioxide serves as co-substrate in the production of succinic acid by Actinobacillus succinogenes. The transient concentration of dissolved CO2 in the broth (CCO2) controls the uptake of CO2 in the cell. Based on CCO2 , three distinct regimes could be identified in which the behaviour of the organism differed with CCO2 availability. When CCO2 was higher than 8.4 mM (44.4% saturated at an atmospheric pressure of 86 kPa), there was no evidence of CO2 limiting succinic acid productivity and flux to succinic acid remained constant. When CCO2 decreased below 8.4 mM a decrease in the succinic acid production and glucose consumption rates was observed to 28.01% and 19.89% of their original value respectively, at the lowest CCO2 value investigated. Below a CCO2 of 4 mM (21.16% saturated at an atmospheric pressure of 86 kPa), the productivity continued to decrease along with a shift in the total carbon flux from the succinic acid-producing pathway (C4-pathway) to the by-product-producing pathway (C3-pathway). The fraction of total carbon flux directed to the C4-pathway decreased from 0.48 to 0.33 at the lowest CCO2 value investigated. Although the by-product acetic acid concentration decreased to 88% of the original value, formic acid remained relatively stable and the ethanol concentration increased from an average of 0.26 g.L-1 to 1 g.L-1. The organism starts producing ethanol in order to satisfy the redox balance when the C4-pathway becomes less active. It was calculated that the flux shift to the C3-pathway does not favour ATP production. The organism is, however, still viable at the very low ATP production rates found at very low values of CCO2. Since succinic acid production is not limited at relatively low values of CCO2 (44.4% saturation), adequate CO2 supply to the fermenter can be achieved without major CO2 sparging which is beneficial from an industrial processing perspective.
Dissertation (MEng)--University of Pretoria, 2016.
Chemical Engineering
MEng
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Books on the topic "Productivity maps"

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Scherkenbach, William W. The Deming route to quality and productivity: Road maps and roadblocks. London: Mercury, 1991.

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Scherkenbach, William W. The Deming route to quality and productivity: Road maps and roadblocks. Rockville, Md: Mercury Press, 1988.

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The Deming route to quality and productivity: Road maps and roadblocks. Washington, D.C: CEEP Press Books, 1986.

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The Deming route to quality and productivity: Road maps and roadblocks. London: Mercury, 1986.

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Szczęsny, Roman. Struktura przestrzenna rolnicwa Polski w 1995 roku =: Spatial structure of Poland's agriculture in 1995. Warszawa: Polska Akademia Nauk, Instytut Geografii i Przestrzennego Zagospodarowania, 1997.

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Robinson, Timothy P. Global livestock production systems. Rome: Food and Agriculture Organization of the United Nations, 2011.

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Singh, Jasbir. Determinants of agricultural productivity: A sample study of operational holdings for land use planning. Kurukshetra: Vishal Publications, 1986.

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Aleksandrov, A. A. Partiĭnye organizat︠s︡ii vo glave tekhnicheskogo tvorchestva mass. Kiev: "Vysshai︠a︡ shkola", 1986.

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Partiĭnye organizat͡s︡ii vo glave tekhnicheskogo tvorchestva mass. Kiev: "Vysshai͡a︡ shkola", 1986.

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Matthews, Richard A. Fordism, flexibility, and regional productivity growth. New York: Garland Pub., 1996.

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Book chapters on the topic "Productivity maps"

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Moreda, Guillermo P. "Sensors for crop productivity, yield maps." In Manuali – Scienze Tecnologiche, 13. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.13.

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For gathering the final results of a season-round crop work, the georeferenced yield is a key piece of information. Harvesting equipment can be equipped with sensors to gather such information. Systems based on different technologies (impact, volume, optics, density, gravity…) will be explained for recording the yield flow inside the machinery, during the harvesting. Adaptations of yield sensors depending on the commodity, along with new sensing systems will be discussed. Sensor for quality quantification will also be explained, as they are important for certain crops. Basic procedures for the calibration of the sensing system and the proper registration of yield data to generate a successful yield map are presented.
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DeSante, David F. "Monitoring Avian Productivity and Survivorship (Maps): A Sharp, Rather than Blunt, Tool for Monitoring and Assessing Landbird Populations." In Wildlife 2001: Populations, 511–21. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2868-1_39.

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Bebout, Brad M., Hans W. Paerl, James E. Bauer, Donald E. Canfield, and David J. Des Marais. "Nitrogen cycling in microbial mat communities: The quantitative importance of N-fixation and other sources of N for primary productivity." In Microbial Mats, 265–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78991-5_27.

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van Tilborg, Marcel W. W. M. "The Use of Mass Spectrometry in the Screening of Microorganisms on Productivity." In Mass Spectrometry in Biotechnological Process Analysis and Control, 179–86. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0169-2_14.

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Kim, Won. "Between Autonomy and Productivity: The Everyday Lives of Korean Women Workers During the Park Chung-hee Era." In Everyday Life in Mass Dictatorship, 202–17. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137442772_12.

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Sutherland, Donald M. G. "8. Productivity and farm management. The hospitals of Le Mans, 1661–1913." In Comparative Rural History of the North Sea Area, 149–58. Turnhout: Brepols Publishers, 2014. http://dx.doi.org/10.1484/m.corn-eb.4.00074.

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Mujeyi, Angeline, and Maxwell Mudhara. "Economic Analysis of Climate-Smart Agriculture Technologies in Maize Production in Smallholder Farming Systems." In African Handbook of Climate Change Adaptation, 225–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_17.

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AbstractSmallholder farmers who grow the staple maize crop rely mainly on rain-fed agricultural production, and yields are estimated to have decreased by over 50% largely due to climate change. Climate-smart agriculture (CSA) technologies, as adaptive strategies, are thus increasingly being promoted to overcome problems of declining agricultural productivity and reduced technical efficiency. This study analyzed profitability and profit efficiency in maize (Zea mays) production as a result of CSA technology adoption using cost-benefit analysis and stochastic profit frontier model. The study used data from a cross-sectional household survey of 386 households drawn from 4 districts in Mashonaland East province located in the northeastern part of Zimbabwe. Results from the cost-benefit analysis reveal that maize performs best under CSA technologies. The profit inefficiency model shows that extension contact, number of local traders, and adoption of CSA had significant negative coefficients indicating that as these variables increase, profit efficiency among maize-growing farmers increases. This implies that profit inefficiency in maize production can be reduced significantly with improvement in extension contact, access to farm gate/local markets, and adoption of CSA. The findings call for development practitioners to incorporate market linkages that bring buyers closer to the farmers, support for extension to be able to have frequent contacts with farmers, and promotion of CSA adoption.
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Habyarimana, Ephrem, and Sofia Michailidou. "Genomic Prediction and Selection in Support of Sorghum Value Chains." In Big Data in Bioeconomy, 207–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_16.

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AbstractGenomic prediction and selection models (GS) were deployed as part of DataBio project infrastructure and solutions. The work addressed end-user requirements, i.e., the need for cost-effectiveness of the implemented technologies, simplified breeding schemes, and shortening the time to cultivar development by selecting for genetic merit. Our solutions applied genomic modelling in order to sustainably improve productivity and profits. GS models were implemented in sorghum crop for several breeding scenarios. We fitted the best linear unbiased predictions data using Bayesian ridge regression, genomic best linear unbiased predictions, Bayesian least absolute shrinkage and selection operator, and BayesB algorithms. The performance of the models was evaluated using Monte Carlo cross-validation with 70% and 30%, respectively, as training and validation sets. Our results show that genomic models perform comparably with traditional methods under single environments. Under multiple environments, predicting non-field evaluated lines benefits from borrowing information from lines that were evaluated in other environments. Accounting for environmental noise and other factors, also this model gave comparable accuracy with traditional methods, but higher compared to the single environment model. The GS accuracy was comparable in genomic selection index, aboveground dry biomass yield and plant height, while it was lower for the dry mass fraction of the fresh weight. The genomic selection model performances obtained in our pilots are high enough to sustain sorghum breeding for several traits including antioxidants production and allow important genetic gains per unit of time and cost.
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Tsugane, Keisuke, Taisuke Boku, Hitoshi Murai, Mitsuhisa Sato, William Tang, and Bei Wang. "Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP." In XcalableMP PGAS Programming Language, 181–203. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7683-6_7.

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AbstractXcalableMP(XMP) supports a global-view model that allows programmers to define global data and to map them to a set of processors, which execute the distributed global data as a single thread. In XMP, the concept of a coarray is also employed for local-view programming. In this study, we port Gyrokinetic Toroidal Code - Princeton (GTC-P), which is a three-dimensional gyrokinetic PIC code developed at Princeton University to study the microturbulence phenomenon in magnetically confined fusion plasmas, to XMP as an example of hybrid memory model coding with the global-view and local-view programming models. In local-view programming, the coarray notation is simple and intuitive compared with Message Passing Interface (MPI) programming, while the performance is comparable to that of the MPI version. Thus, because the global-view programming model is suitable for expressing the data parallelism for a field of grid space data, we implement a hybrid-view version using a global-view programming model to compute the field and a local-view programming model to compute the movement of particles. The performance is degraded by 20% compared with the original MPI version, but the hybrid-view version facilitates more natural data expression for static grid space data (in the global-view model) and dynamic particle data (in the local-view model), and it also increases the readability of the code for higher productivity.
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Chitale, Vishwas Sudhir, Sunil Thapa, Mir A. Matin, Kamala Gurung, Shankar Adhikari, and Rabindra Maharjan. "Climate-Resilient Forest Management in Nepal." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 127–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_7.

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AbstractForests play a vital role in combating climate change and mitigating its effects. In the Hindu Kush Himalaya (HKH), they are an important source of livelihood for the region’s growing population. With forest degradation and deforestation increasing, it has become all the more necessary to have a reliable climate resilient forest management system. At present, lack of precise information on forest degradation and the impacts of climate change on forest ecosystems hinder the conservation, planning and management of forest ecosystems in Nepal. We attempt to tackle this issue in collaboration with Department of Forests and Soil Conservation (DoFSC), Nepal, by providing scientific and reliable data on vulnerability of forests to anthropogenic factors and climate change using geospatial tools and techniques. We introduced a two-way multitier approach in Nepal to support the identification and implementation of adaptation and management strategies with special focus on forest ecosystems. It aims to reduce the vulnerability of forests to climate change and the degradation of forest ecosystems due to anthropogenic drivers. We used multispectral satellite datasets, data on climate trends and projections, and published data on extraction of forest resources in the study area. We then used data mining to quantify the influence of temperature and precipitation on functioning of forests by using MODIS data of net primary productivity, leaf area index, evapotranspiration and climatic trends and projections data. Finally, we overlayed the forest degradation map on forest climate sensitivity map to identify the hotspots of degradation and sensitivity needing immediate attention. These hotspots are defined as “adaptation footprints”, which help decision makers to prioritize their activities within their district. Most of the forest ecosystems in mid-western and far-western Nepal are highly sensitive to observed and predicted impacts of climate change, which need immediate prioritization and management. The products of this study are accessible through a web-based decision support tool, which will help decision makers at district and province level to prioritize the activities of forest management.
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Conference papers on the topic "Productivity maps"

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Fujimoto, Kenji, Osamu Nakamura, and Toshi Minami. "Personal identificaton through facial image based on isodensity maps." In Optics for Productivity in Manufacturing, edited by Rolf-Juergen Ahlers, Donald W. Braggins, and Gary W. Kamerman. SPIE, 1994. http://dx.doi.org/10.1117/12.196096.

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Seki, Mineo, Osamu Nakamura, and Toshi Minami. "Description and classification of facial expression based on isodensity maps." In Optics for Productivity in Manufacturing, edited by Rolf-Juergen Ahlers, Donald W. Braggins, and Gary W. Kamerman. SPIE, 1994. http://dx.doi.org/10.1117/12.196111.

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Mizutani, Masahiro, Yasuhiko Numagami, Osamu Nakamura, and Toshi Minami. "Reconstruction of curved surface using isodensity maps based on stereo vision system." In Optics for Productivity in Manufacturing, edited by Rolf-Juergen Ahlers, Donald W. Braggins, and Gary W. Kamerman. SPIE, 1994. http://dx.doi.org/10.1117/12.196069.

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Egorov, S. V., I. I. Priezzhev, A. E. Schelkunov, and E. A. Gladkov. "Productivity Parameters Prediction on Maps Using Neural Networks." In Geomodel 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201702226.

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Ayala-Bastidas, Gilberto, Hector G. Ceballos, Francisco J. Cantu-Ortiz, and Luciano Garcia-Banuelos. "Using Process Maps to Analyze Researchers’ productivity behavior." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2020. http://dx.doi.org/10.1109/csci51800.2020.00074.

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Ahn, Seungjun, A. J. Antony Chettupuzha, Ronald Ekyalimpa, Stephen Hague, Simaan M. AbouRizk, and Chrysostomos D. Stylios. "Fuzzy Cognitive Maps as a tool for modeling construction labor productivity." In 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC). IEEE, 2015. http://dx.doi.org/10.1109/nafips-wconsc.2015.7284150.

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Guerra, Norman Yepes, and Rajarajan Narayanasamy. "Well Location Selection From Multiple Realisations of a Geomodel Using Productivity Potential Maps - A Heuristic Technique." In International Oil Conference and Exhibition in Mexico. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/102903-ms.

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Celmina, Vita, and Vivita Pukite. "ANALYSIS OF REMOTE SENSING DATA FOR DETERMINATION OF SPATIAL CHANGES IN ORCHARDS." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b2/v2/15.

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Aim of the paper is to explore the application possibilities of remote sensing data for determination of spatial changes in orchards from 1995 to 2019. In Latvia, many fruit-growing companies have been established around the turn of the century and today have established a solid production base. Although many farms achieve good yields, the average level of productivity in orchards is insufficient. Often the yields are different in the same garden in different places. Remote sensing technology provides tree crown size data. Evaluating garden data would identify sectors with lower increments. When you see specific sectors on the map, they will be surveyed by gardeners looking for factors that have influenced tree growth (soil nutrient content, moisture content, abundant fruit yield, etc.). As a result, average productivity may increase by at least 10%, but in the longer term (5-6 years) by 20-30% Using Latvian Geospatial Information Agency’s available orthophoto and digital surface model (DSM) data, were examined three land units - orchards, where the spatial changes could be observed. The spatial changes can be observed over a longer period of time, therefore there were compared several orthophoto maps, each taken in different period of time. This study is an initial analysis of the data to determine the spatial changes. Future research will further investigate orchards with aerial laser scanning to determine accurate tree crown volumes and develop digital surface models.
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Konopczynski, Michael R., and Mojtaba Moradi. "Annular Phase Separation with AICD Completions – The Impact on Well Flow Performance and Control of Unwanted Effluents." In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205407-ms.

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Abstract The design and method of operation of Autonomous Inflow Control Devices are reviewed, including single-phase and multi-phase flow performance. Next, the multi-phase flow of fluids in the annular space between circular conduits is examined based on published information and flow pattern maps. This information is brought together in a thought experiment describing how AICDs and well performance will react to the segregation of fluids upstream of the flow control device, and the potential impact that the degree of restrictiveness on unwanted effluents can affect the flow performance of the reservoir and well. Finally, the impact on well flow performance is quantified by computer modelling of the reservoir inflow performance, annular flow performance, and AICD performance. The sensitivity of well productivity is assessed for multiple flow scenarios adjusting several model parameters, including type and number of AICDs per zone, GOR, water cut, flow rate, and well completion size. Although the concept of an AICD that completely shuts off gas and/or water production sounds appealing to those wishing to eliminate the production of unwanted effluents, a full understanding of the dynamics of inflow from the reservoir and phase segregation in the wellbore is necessary to evaluate the impact of highly restrictive AICDs on well productivity. With annular separation, even small water cuts or limited amounts of free gas flowing into the wellbore can cause most of the highly restrictive AICDs in a multiple device zone to shut, greatly impacting the oil productivity of the zone and the well. Using AICDs that are not as restrictive of the unwanted effluents allows the operator to continue to produce oil at significant rates when associated with low water cuts or reduced free-gas GORs. A workflow for determining the optimum degree of restrictiveness is proposed and demonstrated.
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Renu, Rahul Sharan, and Lynn Hanson. "A Rule-Based Decision Support System for Authoring Technical Instructions." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67427.

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The objective of this research is to investigate the viability of a decision support system for technical instruction authors who write instructions in free text. The foundation for the decision support system relies on mapping computational linguistic metrics to guidelines for authoring technical instructions. For example, the guideline Limit each sentence to 25 words or fewer maps to the computational linguistic metrics Word Count. As another example, the guideline Begin each step with a command (an imperative verb) maps to the Location of first imperative verb metric. Testing the decision support system shows its effectiveness and suggests a need to expand the computational rule-base to include even more guidelines. Doing so can further enhance the usability of the decision support system in writing environments. Faculty and students in academia and employees in industry need such a system to improve the quality of written instructions, accelerate revisions, and enhance productivity. In summary, a rule-base for providing feedback to technical authors has been investigated and established. With this rule-base as a foundation, a decision support system has been developed and tested, and the source code has been made publically available.
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Reports on the topic "Productivity maps"

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Margenau, Eric, and Lenza Paul. A 23-year summary of a Monitoring Avian Productivity and Survivorship (MAPS) bird banding site in New River Gorge National River, West Virginia. National Park Service, August 2021. http://dx.doi.org/10.36967/nrr-2287051.

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Long-term bird banding data were collected from 1996–2019 (except in 2008) to assess the New River riparian zone avian community in one location in New River Gorge National River (NERI). The NERI banding station has banded over 4,500 individuals over 10,700 net hours in the twenty-three years it has been in operation and has captured 80 different species. Total captures, capture rate, and total species have been declining annually over the study period. Species associated with early-successional/shrubland habitat also declined over the study period, which is consistent with regional trends during the same time frame. Species richness of habitat guilds did not change over the study period within specific major habitat types. Capture metrics of Louisiana Waterthrush, an obligate riparian species, did increase over the study period. Continued banding will further provide information to assist in local management and contribute to regional data.
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Bernknopf, R. L., A. M. Wein, M. R. St-Onge, and S. B. Lucas. Analysis of improved government geological map information for mineral exploration: incorporating efficiency, productivity, effectiveness, and risk considerations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/223861.

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Suhartono, Suhartono, Agoes Soegianto, and Achmad Amzeri. Mapping of land potentially for maize plant in Madura Island-Indonesia using remote sensing data and geographic information systems (GIS). EM International, November 2020. http://dx.doi.org/10.21107/amzeri.2020.1.

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Maize productivity in Indonesia was still low (5.241 tons/ha) compared to the average of the ten largest maize producing countries in the world (6.179 tons/ha). The potential for maize on the island of Madura is approximately 360,000 hectares. The potential for maize cultivation in Madura continues to decrease in land quality due to improper land clearing and land-use change. The purpose of this research was to make a map of land suitability for maize using Remote Sensing Data and Geographic Information System (GIS). The land suitability method for maize plants used satellite imagery as a data source, supported by fieldwork and secondary data. Data analysis using Geographic Information Systems (GIS). The results of the analysis of land suitability modeling based on agroecosystem potential found that most of the Madura area was suitable for maize cultivation. Madura island had a land area of 456,622.3ha for maize cultivation, where 170.379.5 (15.4%) was very appropriate, 211.412.3 ha (46.3%) was appropriate, 160,098.6 (35.1%) was less appropriate, and 14,732.0 ha (3.2%) was not appropriate.
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Hicks, Julie, Laurin Yates, and Jackie Pettway. Mat Sinking Unit supply study : Mississippi River revetment. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41867.

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Abstract:
The Mississippi Valley Division (MVD) has maintained the Mississippi River banks for over 80 years. The Mat Sinking Unit (MSU), built in 1946, was considered state-of-the-art at the time. This system is still in operation today and has placed over 1,000 miles of Articulated Concrete Mats along the Mississippi River from Head of Passes, LA, to Cairo, IL. A new MSU has been designed and is expected to be fully mission capable and operational by the 2023 season, which is expected to increase the productivity from 2,000 squares/day up to 8,000 squares/day with double shifts and optimal conditions. This MSU supply study identifies and optimizes the supply chain logistics for increased production rates from the mat fields to the MSU. The production rates investigated for this effort are 2,000 squares/day, 4,000 squares/day, and 6,000 squares/day. RiskyProject® software, which utilizes a Monte Carlo method to determine a range of durations, manpower, and supplies based on logical sequencing is used for this study. The study identifies several potential supply and demand issues with the increased daily production rates. Distance to casting fields, number of barges, and square availability are the major issues to supply increased placement rates identified by this study.
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The impacts of agroforestry on agricultural productivity, ecosystem services and human well-being in low- and middle-income countries: title registration for an evidence and gap map - Campbell discussion paper 3. The Campbell Collaboration, June 2017. http://dx.doi.org/10.4073/cmdp.2017.2.

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