Evaluation of Germination of Wheat Seeds Using Fuzzy Modelling: Application of Microfertilizer with Magnetic Treatment of Water and Seeds.

Ostrovskij, M. V.; Krueger, Elena; Kurtener, Dmitry; Tsukanov, S. V.; Maklyuk, Elena

doi:10.17830/j.eaj.2014.01.001

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…Bolzonella et al [2] studied anaerobic digestion of mechanically sorted organic fraction of municipal solid wastes. Comparative studies of biogas production using various substrates were carried out [7]. Currently special attention is given the humic acids substrates [8][9][10], which is highly ecologically clean natural coenzymes for biogas plants.…”

Section: Original Research Articlementioning

confidence: 99%

Evaluation of Different Compositions of Organic Fuel for Biogas Production Using Fuzzy Modeling

Ostrovskij¹,

Werner²

2019

CJAST

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Production of biogas is dependent on composition of organic fuel. Evaluation of different compositions of organic fuel for biogas production using fuzzy modeling was conducted. Eleven variants of composition were determined. For evaluation of these variants an existing method based on the use of fuzzy indicator models was utilized. Results of computation for variable "The electrical energy yield" indicated that composition of organic fuel (variant 11) was the best alternative.

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Section: Original Research Articlementioning

confidence: 99%

Evaluation of Different Compositions of Organic Fuel for Biogas Production Using Fuzzy Modeling

Ostrovskij¹,

Werner²

2019

CJAST

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“…Application of microfertilizer HUMIN PLUS in combination with magnetic treatments of seed and water was evaluated by Ostrovskij et al, ( 2014). By using 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 (figure 8).…”

Section: Utilization Of Adaptive Neuro-fuzzy Inference System (Anfis)mentioning

confidence: 99%

“…8. FIS surface describing the relation between seed germination energy, which are sprayed by a solution of emulsion of sapropel with magnetic seed treatment but with no magnetic water treatment, and time after sowing (Ostrovskij et al, 2014).…”

Section: Utilization Of Adaptive Neuro-fuzzy Inference System (Anfis)mentioning

confidence: 99%

Utilization of Fuzzy Computing in Agrophysics

Kurtener¹,

Yakushev²

2014

EAJ

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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.

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“…Currently special attention has been given to humic acids substrates (Ostrovskij, 2014;Ostrovskij et al, 2014;Tsukanov et al, 2014), which are highly ecologically clean natural coenzymes in biogas plants.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Indicator Modeling: Assessing Composition of Organic Fuels

Krueger

Kurtener²,

Werner³

et al. 2015

EAJ

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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.

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Evaluation of Germination of Wheat Seeds Using Fuzzy Modelling: Application of Microfertilizer with Magnetic Treatment of Water and Seeds.

Cited by 8 publications

References 15 publications

Evaluation of Different Compositions of Organic Fuel for Biogas Production Using Fuzzy Modeling

Evaluation of Different Compositions of Organic Fuel for Biogas Production Using Fuzzy Modeling

Utilization of Fuzzy Computing in Agrophysics

Fuzzy Indicator Modeling: Assessing Composition of Organic Fuels

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