Pub Date : 2014-09-30DOI: 10.17830/J.EAJ.2014.01.114
M. Ostrovskij, I. Zeidan, S. Tsukanov, A. zeidan, Ilgonis Uptis, J. Apse
Recently, several studies on the application of organic-mineral fertilizers (OMF), based on sapropel and peat), were carried out in Middle East countries. The OMF named “Sapro Agro” (manufactured by LLC LATPOWER, Riga, Latvia) was tested in Saudi Arabia in organic agriculture, as a fertilizer as well as a soil conditioner, while the study of the OMF named “Humin Plus” was conducted in Jordan. Results of the effects of Humin Plus on the pre-treatment of soil in greenhouses showed that yield increased 24%. The study of the effects of Humin Plus on cucumbers in greenhouses showed yield increased by 31%. An experiment on plants which are lagging behind in their development caught up and surpassed other plants in appearance when treated with Humin Plus. Also, researches in Jordan showed that Humin Plus was very effective in the early stages of fruiting and the optimal application rate of this OMF in this case was 1 ltr/10000 m2. In Jordan, several experiments were conducted with Sapro Agro and Sapro Elixir, which were mixed with mineral fertilizer (Kama-Eco+) at a ratio of 50/50. Results of these experiments showed that yield increased 28-35%.
{"title":"Application of Organic Fertilizers Based on Sapropel and Peat in Countries of Middle East","authors":"M. Ostrovskij, I. Zeidan, S. Tsukanov, A. zeidan, Ilgonis Uptis, J. Apse","doi":"10.17830/J.EAJ.2014.01.114","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.114","url":null,"abstract":"Recently, several studies on the application of organic-mineral fertilizers (OMF), based on sapropel and peat), were carried out in Middle East countries. The OMF named “Sapro Agro” (manufactured by LLC LATPOWER, Riga, Latvia) was tested in Saudi Arabia in organic agriculture, as a fertilizer as well as a soil conditioner, while the study of the OMF named “Humin Plus” was conducted in Jordan. Results of the effects of Humin Plus on the pre-treatment of soil in greenhouses showed that yield increased 24%. The study of the effects of Humin Plus on cucumbers in greenhouses showed yield increased by 31%. An experiment on plants which are lagging behind in their development caught up and surpassed other plants in appearance when treated with Humin Plus. Also, researches in Jordan showed that Humin Plus was very effective in the early stages of fruiting and the optimal application rate of this OMF in this case was 1 ltr/10000 m2. In Jordan, several experiments were conducted with Sapro Agro and Sapro Elixir, which were mixed with mineral fertilizer (Kama-Eco+) at a ratio of 50/50. Results of these experiments showed that yield increased 28-35%.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"25 1","pages":"114-123"},"PeriodicalIF":0.0,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88497629","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 : 2014-09-30DOI: 10.17830/J.EAJ.2014.01.106
H. Allen Torbert, D. Kurtener, E. Krueger
Precision farming technology depends on accurate zoning of agricultural fields so that proper management applications can be imposed. Many existing methods for zoning of agricultural fields are based on the use of complex parameters, which includes both topographic yield data and soil characteristics. Utilization of these methods is dependent on relating the assessment of the significance of each of these parameters to the productivity of specific zones found in the field. In this paper, a new method for assessing the significance of the parameters affecting productivity is elaborated in combination with existing method for zoning of agricultural fields.
{"title":"Zoning of an Agricultural Field Accounting for the Significances of Parameters Affecting Productivity","authors":"H. Allen Torbert, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2014.01.106","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.106","url":null,"abstract":"Precision farming technology depends on accurate zoning of agricultural fields so that proper management applications can be imposed. Many existing methods for zoning of agricultural fields are based on the use of complex parameters, which includes both topographic yield data and soil characteristics. Utilization of these methods is dependent on relating the assessment of the significance of each of these parameters to the productivity of specific zones found in the field. In this paper, a new method for assessing the significance of the parameters affecting productivity is elaborated in combination with existing method for zoning of agricultural fields.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"1 1","pages":"106-113"},"PeriodicalIF":0.0,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78077509","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 : 2014-06-30DOI: 10.17830/J.EAJ.2014.01.054
E. Krueger, D. Kurtener
In the early 60-ies among the leading Russian agricultural physicists was discussion about what is agrophysics. A.F. Chudnovsky, outstanding the thermal and agricultural physicist, participated in this discussion. He wrote a book, which sets out his vision of problem (Chudnovsky, 1963). A. F. Chudnovsky clarified that "Like any new science, standing at the crossroads of many interrelated disciplines the agrophysics continues to develop, and its content is still clarified. This situation is largely explained by the fact that there are very many and varied allied sciences, on which it is based". Value of this book for the modern understanding of definition and scope of agrophysics is undoubted.
上世纪60年代初，俄罗斯领先的农业物理学家讨论了什么是农业物理学。杰出的热学和农业物理学家A.F.丘德诺夫斯基参加了这次讨论。他写了一本书，阐述了他对问题的看法(Chudnovsky, 1963)。A. F. Chudnovsky澄清说:“像任何一门新科学一样，农业物理学站在许多相互关联的学科的十字路口，继续发展，它的内容仍然是明确的。”这种情况在很大程度上可以用这样一个事实来解释:它所依据的是许多不同的相关科学。”这本书对现代农业物理学的定义和范围的理解的价值是毋庸置疑的。
{"title":"History of Agrophysics: Book of A. F. Chudnovsky “What is Agrophysics?”","authors":"E. Krueger, D. Kurtener","doi":"10.17830/J.EAJ.2014.01.054","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.054","url":null,"abstract":"In the early 60-ies among the leading Russian agricultural physicists was discussion about what is agrophysics. A.F. Chudnovsky, outstanding the thermal and agricultural physicist, participated in this discussion. He wrote a book, which sets out his vision of problem (Chudnovsky, 1963). A. F. Chudnovsky clarified that \"Like any new science, standing at the crossroads of many interrelated disciplines the agrophysics continues to develop, and its content is still clarified. This situation is largely explained by the fact that there are very many and varied allied sciences, on which it is based\". Value of this book for the modern understanding of definition and scope of agrophysics is undoubted.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"9 1","pages":"54-62"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77765571","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 : 2014-06-30DOI: 10.17830/J.EAJ.2014.01.063
D. Kurtener, V. Yakushev
Traditionally decision of agrophysics problems was evaluated with problem-oriented models. Utilization of fuzzy computing gives new dimension for agrophsics. It is well known that in agricultural sciences there exists much fuzzy knowledge, that is, knowledge which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic in nature. Fuzzy Computing is power tools for dealing with randomness and uncertainties. This paper reviews exploitation of fuzzy computing in agrophysics. The emphasis is on the achievements of Agrophysical Research Institute, St. Petersburg, Russia, especially in the fields of soil tillage, crop management, precision agriculture, melioration, and agricultural engineering.
{"title":"Utilization of Fuzzy Computing in Agrophysics","authors":"D. Kurtener, V. Yakushev","doi":"10.17830/J.EAJ.2014.01.063","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.063","url":null,"abstract":"Traditionally decision of agrophysics problems was evaluated with problem-oriented models. Utilization of fuzzy computing gives new dimension for agrophsics. It is well known that in agricultural sciences there exists much fuzzy knowledge, that is, knowledge which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic in nature. Fuzzy Computing is power tools for dealing with randomness and uncertainties. This paper reviews exploitation of fuzzy computing in agrophysics. The emphasis is on the achievements of Agrophysical Research Institute, St. Petersburg, Russia, especially in the fields of soil tillage, crop management, precision agriculture, melioration, and agricultural engineering.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"42 1","pages":"63-78"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78906743","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 : 2014-06-20DOI: 10.17830/J.EAJ.2014.01.079
M. Ostrovskij
Microfertilizer called as «HUMIN PLUS» (the German patent application 10 2012 100 315.7 dd. 15.01.2012 «Reagent-free mode of getting reception humus containing suspensions of the raised biological efficacy from connatural raw materials (sapropel, peat and organic waste - chicken manure), and production on the basis of its organic and organic mineral fertilizers for ecological and traditional farming») is the fast-acting and cost-effective micro fertilizers with multifunctional actions. Recently, several tests of microfertilizer HUMIN PLUS were conducted in different climatic conditions and in different countries. Testing shown, that increase yield is equal to 12 - 32 % (for sugar beet), 18 - 27 % (for corn), 30 -36 % (potato), 24 - 28 % (for organic potato), 23 - 25 % (for winter wheat), 18 -22 % (for spring wheat), 18 - 25 % (for tomato), 15 -20 % (for barley), 45 -55 % (for canola), ), and 30 -36 % (for soy). Research using special program indicated that HUMIN PLUS corresponds to German laws on the quality of fertilizers.
{"title":"Testing HUMIN PLUS microfertilizer","authors":"M. Ostrovskij","doi":"10.17830/J.EAJ.2014.01.079","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.079","url":null,"abstract":"Microfertilizer called as «HUMIN PLUS» (the German patent application 10 2012 100 315.7 dd. 15.01.2012 «Reagent-free mode of getting reception humus containing suspensions of the raised biological efficacy from connatural raw materials (sapropel, peat and organic waste - chicken manure), and production on the basis of its organic and organic mineral fertilizers for ecological and traditional farming») is the fast-acting and cost-effective micro fertilizers with multifunctional actions. Recently, several tests of microfertilizer HUMIN PLUS were conducted in different climatic conditions and in different countries. Testing shown, that increase yield is equal to 12 - 32 % (for sugar beet), 18 - 27 % (for corn), 30 -36 % (potato), 24 - 28 % (for organic potato), 23 - 25 % (for winter wheat), 18 -22 % (for spring wheat), 18 - 25 % (for tomato), 15 -20 % (for barley), 45 -55 % (for canola), ), and 30 -36 % (for soy). Research using special program indicated that HUMIN PLUS corresponds to German laws on the quality of fertilizers.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"600 ","pages":"79-84"},"PeriodicalIF":0.0,"publicationDate":"2014-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72418821","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 : 2014-03-30DOI: 10.17830/J.EAJ.2014.01.025
V. Badenko, D. Kurtener, E. Krueger
Data evaluation of investigations of soil contamination by heavy metals is very important for decision of regional planning problems. In this study utilization of fuzzy set theory for interpretation of data of investigations of soil contamination by heavy metals is presented. Several simple fuzzy indicator models are elaborated. Case of the use of linguistic variables is discussed. Utilization of triangular fuzzy numbers (TFN) for assessment of soil contamination by heavy metals is developed. The theoretical consideration is illustrated by simple examples.
{"title":"Utilization of Fuzzy Set Theory for Interpretation of Data of Investigations of Soil Contamination by Heavy Metals","authors":"V. Badenko, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2014.01.025","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.025","url":null,"abstract":"Data evaluation of investigations of soil contamination by heavy metals is very important for decision of regional planning problems. In this study utilization of fuzzy set theory for interpretation of data of investigations of soil contamination by heavy metals is presented. Several simple fuzzy indicator models are elaborated. Case of the use of linguistic variables is discussed. Utilization of triangular fuzzy numbers (TFN) for assessment of soil contamination by heavy metals is developed. The theoretical consideration is illustrated by simple examples.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"26 1","pages":"25-41"},"PeriodicalIF":0.0,"publicationDate":"2014-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91233305","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 : 2014-03-30DOI: 10.17830/J.EAJ.2014.01.014
D. Kurtener, A. Komarov, E. Krueger, N. M. Nayda
The use of environmentally friendly organic-mineral fertilizers of humin nature has led to considerable interest in many fields of agronomy. In this paper, the fuzzy multi attributive decision-making tool was used to evaluate the influence of the organic-mineral fertilizers "Stimulayf" and “Humate Sodium” on the growth of Dracocephalum L. The analysis was performed in two ways: 1) evaluating applications of Stimulayf and Humate Sodium using crop characteristics, and 2) evaluating applications of Stimulayf and Humate Sodium, using both crop characteristics and economic parameters. In the first method, alternative 17 (К-8 + St-L (2009)was ranked the best alternative. The second rank was alternative 13 (К-8 (2007)). Alternative 22 (К-10 (2009))was ranked the worst. In the second method, alternative 10(К-7 + Hum-Na)was rankedthe best followed by alternative 7 (К-8 + St-L). Alternative 4 (К-10) had the lowest rank using this method.
{"title":"Fuzzy Multi-Attributive Analyzes of Organic-Mineral Fertilizer \"Stimulayf\" and “Humate Sodium”: Application for Cultivation of Dracocephalum L.","authors":"D. Kurtener, A. Komarov, E. Krueger, N. M. Nayda","doi":"10.17830/J.EAJ.2014.01.014","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.014","url":null,"abstract":"The use of environmentally friendly organic-mineral fertilizers of humin nature has led to considerable interest in many fields of agronomy. In this paper, the fuzzy multi attributive decision-making tool was used to evaluate the influence of the organic-mineral fertilizers \"Stimulayf\" and “Humate Sodium” on the growth of Dracocephalum L. The analysis was performed in two ways: 1) evaluating applications of Stimulayf and Humate Sodium using crop characteristics, and 2) evaluating applications of Stimulayf and Humate Sodium, using both crop characteristics and economic parameters. In the first method, alternative 17 (К-8 + St-L (2009)was ranked the best alternative. The second rank was alternative 13 (К-8 (2007)). Alternative 22 (К-10 (2009))was ranked the worst. In the second method, alternative 10(К-7 + Hum-Na)was rankedthe best followed by alternative 7 (К-8 + St-L). Alternative 4 (К-10) had the lowest rank using this method.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"1 1","pages":"14-24"},"PeriodicalIF":0.0,"publicationDate":"2014-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72702115","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 : 2014-03-30DOI: 10.17830/J.EAJ.2014.01.001
M. Ostrovskij, E. Krueger, D. Kurtener, S. Tsukanov, Elena Maklyuk
Application of microfertilizer HUMIN PLUS in combination with magnetic treatments of seed and water was evaluated. By using Adaptive Neuro-Fuzzy Inference System (ANFIS), several fuzzy inference system (FIS) were built to define the contiguous relationships between the energy of seed germination, different HUMIN PLUS solution concentrations, and magnetic treatment of seeds and water. Results from ANFIS simulations gave reasonable results, offering a feasible alternative to more traditional statistical techniques for evaluation of relations between characteristics of seed germination energy, emulsion of sapropel concentrations, magnetic treatment of seeds and water, and time after sowing.
{"title":"Evaluation of Germination of Wheat Seeds Using Fuzzy Modelling: Application of Microfertilizer with Magnetic Treatment of Water and Seeds.","authors":"M. Ostrovskij, E. Krueger, D. Kurtener, S. Tsukanov, Elena Maklyuk","doi":"10.17830/J.EAJ.2014.01.001","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.001","url":null,"abstract":"Application of microfertilizer HUMIN PLUS in combination with magnetic treatments of seed and water was evaluated. By using Adaptive Neuro-Fuzzy Inference System (ANFIS), several fuzzy inference system (FIS) were built to define the contiguous relationships between the energy of seed germination, different HUMIN PLUS solution concentrations, and magnetic treatment of seeds and water. Results from ANFIS simulations gave reasonable results, offering a feasible alternative to more traditional statistical techniques for evaluation of relations between characteristics of seed germination energy, emulsion of sapropel concentrations, magnetic treatment of seeds and water, and time after sowing.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"169 4 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2014-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77468454","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 : 2014-03-30DOI: 10.17830/J.EAJ.2014.01.042
D. Kurtener, E. Krueger
An assessment of the quality climatological information plays an important role in evaluating climate change processes. Such an evaluation is particularly important for generating precise climatological maps. This paper introduces a concept of evaluating the quality of climatological maps based on a fuzzy logic approach. The developed methodology was used for assessing climatological map quality for the Karelia region in Russia. By utilizing a map fuzzy indicator, every climatological map evaluated provided a better assessment of the quality of thematic climatological map data.
{"title":"Evaluating the Quality of Climatological Information","authors":"D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2014.01.042","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.042","url":null,"abstract":"An assessment of the quality climatological information plays an important role in evaluating climate change processes. Such an evaluation is particularly important for generating precise climatological maps. This paper introduces a concept of evaluating the quality of climatological maps based on a fuzzy logic approach. The developed methodology was used for assessing climatological map quality for the Karelia region in Russia. By utilizing a map fuzzy indicator, every climatological map evaluated provided a better assessment of the quality of thematic climatological map data.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"10 1","pages":"42-53"},"PeriodicalIF":0.0,"publicationDate":"2014-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73816492","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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