Pub Date : 2016-06-30DOI: 10.17830/J.EAJ.2016.03.060
E. Krueger, D. Kurtener, Andrew Migut
In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.
{"title":"Cross-Functional Quality Management: Case of Examination of Decisions Given by Producer Groups","authors":"E. Krueger, D. Kurtener, Andrew Migut","doi":"10.17830/J.EAJ.2016.03.060","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.060","url":null,"abstract":"In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"9 1","pages":"56-64"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88793945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-30DOI: 10.17830/J.EAJ.2016.06.070
D. Kurtener, U. Werner, S. Tsukanov
This paper is dedicated contributions of Michael Ostrovskij to agrophysical research and development. Circle of scientific interests of Michael Ostrovskij was wide enough. It included: the use of bio resonance technology in the poultry industry, elaboration of organic-mineral fertilizers (OMF) based on sapropel and peat and called as "Humin Plus", "Sapropeat", and "Sapropeat Uni", tests and application of these OMF, investigation of the influence of magnetic treatments of seed and water in combination with Humin Plus, research on biogas production, study of relation between OMF and heavy metals into soil and plants, elaboration of patents on agrophysics. He was founder of European Agrophysical Institute and European Agrophysical Journal.
{"title":"History of Agrophysics: The Creative Activity of Michael Ostrovskij","authors":"D. Kurtener, U. Werner, S. Tsukanov","doi":"10.17830/J.EAJ.2016.06.070","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.06.070","url":null,"abstract":"This paper is dedicated contributions of Michael Ostrovskij to agrophysical research and development. Circle of scientific interests of Michael Ostrovskij was wide enough. It included: the use of bio resonance technology in the poultry industry, elaboration of organic-mineral fertilizers (OMF) based on sapropel and peat and called as \"Humin Plus\", \"Sapropeat\", and \"Sapropeat Uni\", tests and application of these OMF, investigation of the influence of magnetic treatments of seed and water in combination with Humin Plus, research on biogas production, study of relation between OMF and heavy metals into soil and plants, elaboration of patents on agrophysics. He was founder of European Agrophysical Institute and European Agrophysical Journal.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"100 1","pages":"65-75"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76733802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-30DOI: 10.17830/J.EAJ.2016.03.025
H. Torbert, D. Kurtener, E. Krueger
Soil disturbance can have important impacts on soil quality and productivity which impact management decisions. However, the extent of potential damage to soil due to soil disturbance is not always obvious. Methods are needed to determine the level of soil disturbance from soil testing. A methodology for this problem could be found using a tool for computations of two soil disturbance indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)”. This study examined this tool for the examination of data collected from experiments on soil disturbance in two different climatic reagions: Fort Riley, KS, and Fort Benning, GA, USA. Results for Fort Riley indicate that the best indicator of disturbance was the DFS calculated for Ni, Ca, Mg, and C while DFS calculated for Cr, Pb, Ni, and Ca was best for Fort Benning. Results also indicate that the use of DFS calculated for Cu and Ni as affected by changes in soil depth may be useful for detecting archeological sites across soil types.
{"title":"Examination of Data Collected from Experiments on Soil Disturbance Using Fuzzy Indicator Approach","authors":"H. Torbert, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2016.03.025","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.025","url":null,"abstract":"Soil disturbance can have important impacts on soil quality and productivity which impact management decisions. However, the extent of potential damage to soil due to soil disturbance is not always obvious. Methods are needed to determine the level of soil disturbance from soil testing. A methodology for this problem could be found using a tool for computations of two soil disturbance indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)”. This study examined this tool for the examination of data collected from experiments on soil disturbance in two different climatic reagions: Fort Riley, KS, and Fort Benning, GA, USA. Results for Fort Riley indicate that the best indicator of disturbance was the DFS calculated for Ni, Ca, Mg, and C while DFS calculated for Cr, Pb, Ni, and Ca was best for Fort Benning. Results also indicate that the use of DFS calculated for Cu and Ni as affected by changes in soil depth may be useful for detecting archeological sites across soil types.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"3 1","pages":"25-41"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86631159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-30DOI: 10.17830/J.EAJ.2016.03.001
E. Stemn, B. Kumi-Boateng, Samuel Sibil
Water scarcity is a fundamental problem in the Upper East Region of Ghana especially in these recent years. The region has only two main reservoirs which collect both stream and run-off water from highlands for usage. Most of the rivers are seasonal and carry water only after rainfall, making the total land area dry most of the year. Women and children walk a number of hours to reach shallow hand-dug wells or ponds, which they share with livestock. The people have been facing these water shortages over the years and construction of good dams is a possible solution to meet the future demand of water supply. In order to address the above water challenges, there is a need for a system that can consider all spatial factors to selecting dam site and GIS techniques as well as Multi-criteria Decision Analysis (MCDA) are more appropriate. The site selection was based on the factor and constraints criteria. Weights were assigned to the factors using Pairwise comparisons and the layers were overlaid and weighted. A total of 4 optimal dam sites were selected after incorporating the various factor and constraint criteria. The existing land use should be visited in the selected sites before constructing the dams and population should be reviewed to see whether changes in population affect the siting of irrigation dams in an area.
{"title":"Multi-Criteria-GIS Based Site Selection for Irrigational Reservoir – A Case Study","authors":"E. Stemn, B. Kumi-Boateng, Samuel Sibil","doi":"10.17830/J.EAJ.2016.03.001","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.001","url":null,"abstract":"Water scarcity is a fundamental problem in the Upper East Region of Ghana especially in these recent years. The region has only two main reservoirs which collect both stream and run-off water from highlands for usage. Most of the rivers are seasonal and carry water only after rainfall, making the total land area dry most of the year. Women and children walk a number of hours to reach shallow hand-dug wells or ponds, which they share with livestock. The people have been facing these water shortages over the years and construction of good dams is a possible solution to meet the future demand of water supply. In order to address the above water challenges, there is a need for a system that can consider all spatial factors to selecting dam site and GIS techniques as well as Multi-criteria Decision Analysis (MCDA) are more appropriate. The site selection was based on the factor and constraints criteria. Weights were assigned to the factors using Pairwise comparisons and the layers were overlaid and weighted. A total of 4 optimal dam sites were selected after incorporating the various factor and constraint criteria. The existing land use should be visited in the selected sites before constructing the dams and population should be reviewed to see whether changes in population affect the siting of irrigation dams in an area.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"43 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80278253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-30DOI: 10.17830/J.EAJ.2016.03.018
E. Krueger, D. Kurtener, Andrew Migut
Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.
{"title":"Cross-Functional Quality Management: Case Study of Sowing of Spring Plants","authors":"E. Krueger, D. Kurtener, Andrew Migut","doi":"10.17830/J.EAJ.2016.03.018","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.018","url":null,"abstract":"Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"41 1","pages":"18-24"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77648204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-12-22DOI: 10.17830/J.EAJ.2015.02.106
H. Allen Torbert, D. Kurtener, E. Krueger
Soil disturbance is great problem and the evaluation of soil disturbance is very important for making decisions on agricultural and ecological management. In this manuscript, a new method for potentially evaluating soil disturbance is described. With this method the use of two indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)” are calculated using soil parameters that are sensitive to soil disturbance. For illustration of the methodology, a small computation was made using data collected from an experiment conducted at Fort Riley, KS, USA. Input data for computation included four soil parameters: Nitrogen, Carbon, Calcium, and Copper. The results of computation of DFS showed the maximum values were observed in the topsoil (0-10cm). With increasing depth, the DFS values decrease. The values calculated for Ca indicated that this DFS would be the most sensitive, while the DFS for copper would be more sensitive with increasing soil depth. The results of the computations of DFC showed that the DFCs at soil depths of 0-10 and 10-20 cm were very similar for all variants used in this research. However, at a soil depth of 20-30 cm, the DFCs calculated for variant 3 was more sensitive, likely because it increased the importance of copper DFS in the calculations.
{"title":"Evaluation of Soil Disturbance Using Fuzzy Indicator Approach","authors":"H. Allen Torbert, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2015.02.106","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.106","url":null,"abstract":"Soil disturbance is great problem and the evaluation of soil disturbance is very important for making decisions on agricultural and ecological management. In this manuscript, a new method for potentially evaluating soil disturbance is described. With this method the use of two indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)” are calculated using soil parameters that are sensitive to soil disturbance. For illustration of the methodology, a small computation was made using data collected from an experiment conducted at Fort Riley, KS, USA. Input data for computation included four soil parameters: Nitrogen, Carbon, Calcium, and Copper. The results of computation of DFS showed the maximum values were observed in the topsoil (0-10cm). With increasing depth, the DFS values decrease. The values calculated for Ca indicated that this DFS would be the most sensitive, while the DFS for copper would be more sensitive with increasing soil depth. The results of the computations of DFC showed that the DFCs at soil depths of 0-10 and 10-20 cm were very similar for all variants used in this research. However, at a soil depth of 20-30 cm, the DFCs calculated for variant 3 was more sensitive, likely because it increased the importance of copper DFS in the calculations.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"55 1","pages":"106-115"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80176174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-12-22DOI: 10.17830/J.EAJ.2015.02.093
E. Krueger, D. Kurtener, A. Torbert
Soil amendments have been shown to be useful for improving soil condition, but it is often difficult to make management decisions as to their usefulness. Utilization of Fuzzy Set Theory is a promising method for decision support associated with utilization of soil amendments. In this article a tool based on fuzzy indicator model was developed. The effectiveness of soil amendments in frame of work of this tool can be evaluated by two indicators: Impact Factor Simple (IFS), and Impact Factor Complex (IFC). Using IFS, an estimate of the effectiveness of soil amendments can be determine when only one experimental soil parameter is available. Using IFC, an estimation of soil amendment effectiveness can be calculated based on information about several soil parameters. This methodology was utilized in two case-studies. In the first, evaluation of the effectiveness of using polyacrylamide application as an amendment to reduce subsoil compaction was evaluated. In the second, the evaluation of the organic material “Fluff” as a soil amendment for establishing native prairie grasses was evaluated. In both cases, improved understanding of the effectiveness of the amendments was demonstrated and the decision support associated with utilization of soil amendments was improved.
{"title":"Fuzzy Indicator Approach: Development of Impact Factor of Soil Amendments","authors":"E. Krueger, D. Kurtener, A. Torbert","doi":"10.17830/J.EAJ.2015.02.093","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.093","url":null,"abstract":"Soil amendments have been shown to be useful for improving soil condition, but it is often difficult to make management decisions as to their usefulness. Utilization of Fuzzy Set Theory is a promising method for decision support associated with utilization of soil amendments. In this article a tool based on fuzzy indicator model was developed. The effectiveness of soil amendments in frame of work of this tool can be evaluated by two indicators: Impact Factor Simple (IFS), and Impact Factor Complex (IFC). Using IFS, an estimate of the effectiveness of soil amendments can be determine when only one experimental soil parameter is available. Using IFC, an estimation of soil amendment effectiveness can be calculated based on information about several soil parameters. This methodology was utilized in two case-studies. In the first, evaluation of the effectiveness of using polyacrylamide application as an amendment to reduce subsoil compaction was evaluated. In the second, the evaluation of the organic material “Fluff” as a soil amendment for establishing native prairie grasses was evaluated. In both cases, improved understanding of the effectiveness of the amendments was demonstrated and the decision support associated with utilization of soil amendments was improved.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"94 1","pages":"93-105"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78559704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-12-22DOI: 10.17830/J.EAJ.2015.02.118
D. Kurtener, V. Yakushev
Abram Ioffe (1880-1960), an outstanding Russian physicist and organizer of science. October 29, 2015 marks 115 years since his birth. In this paper several facts of the biography of Abram Joffe related to the development of the physical-technical aspects of agrophysics and his activities as director of the Agrophysical Institute are considered.
{"title":"History of Agrophysics: Abram Ioffe and the Physical-Technical Aspects of Agrophysics","authors":"D. Kurtener, V. Yakushev","doi":"10.17830/J.EAJ.2015.02.118","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.118","url":null,"abstract":"Abram Ioffe (1880-1960), an outstanding Russian physicist and organizer of science. October 29, 2015 marks 115 years since his birth. In this paper several facts of the biography of Abram Joffe related to the development of the physical-technical aspects of agrophysics and his activities as director of the Agrophysical Institute are considered.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"38 1","pages":"116-122"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76498195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-30DOI: 10.17830/J.EAJ.2015.02.061
E. Krueger, D. Kurtener, U. Werner, Andrew Migut
Biogas production is a clean, low carbon technology that is useful for efficient management and use of organic waste. Composition of organic waste plays an important role in biogas production. In the present investigation, fuzzy indicator modeling has been utilized for assessing 10 compositions of organic waste. Evaluation of these compositions was carried out using individual fuzzy indicators with two variables: "Methane" and "Hydrogen sulfide”. Alternative ranking of variants of composition is given.
{"title":"Fuzzy Indicator Modeling: Assessing Composition of Organic Fuels","authors":"E. Krueger, D. Kurtener, U. Werner, Andrew Migut","doi":"10.17830/J.EAJ.2015.02.061","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.061","url":null,"abstract":"Biogas production is a clean, low carbon technology that is useful for efficient management and use of organic waste. Composition of organic waste plays an important role in biogas production. In the present investigation, fuzzy indicator modeling has been utilized for assessing 10 compositions of organic waste. Evaluation of these compositions was carried out using individual fuzzy indicators with two variables: \"Methane\" and \"Hydrogen sulfide”. Alternative ranking of variants of composition is given.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"35 1","pages":"61-72"},"PeriodicalIF":0.0,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87513974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-09-30DOI: 10.17830/J.EAJ.2015.02.086
M. Arkhipov, D. Kurtener, E. Krueger, N. Priyatkin, Ruslan Gadaborshev
For evaluation of hidden disturbance of seeds it is elaborated the concept of Fuzzy Factor of Hidden Internal Damages (FFHID). Example of definition of FFHID using Gas Discharge Visualization (GDV) parameters (glow area and shape factor) and the root length of sprouted grains are outlined.
{"title":"Evaluation of the Hidden Internal Damages of Seeds Using Fuzzy Indicator Approach","authors":"M. Arkhipov, D. Kurtener, E. Krueger, N. Priyatkin, Ruslan Gadaborshev","doi":"10.17830/J.EAJ.2015.02.086","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.086","url":null,"abstract":"For evaluation of hidden disturbance of seeds it is elaborated the concept of Fuzzy Factor of Hidden Internal Damages (FFHID). Example of definition of FFHID using Gas Discharge Visualization (GDV) parameters (glow area and shape factor) and the root length of sprouted grains are outlined.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"50 1","pages":"86-90"},"PeriodicalIF":0.0,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88478227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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