06.01.00 Agronomy
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AUTOMATED SYSTEM-COGNITIVE ANALYSIS IN AGRONOMY
Description
Agronomy systems with good reason can be considered as complex multiparameter natural and technical systems. In these systems, there are numerous and diverse physical, chemical and biological processes. On the one hand, these processes have a significant impact on the performance of these systems. On the other hand, they are extremely difficult to be described in the form of meaningful analytical models based on equations. As a result, the development of meaningful analytical models is associated with a large number of simplifying assumptions that reduce the validity of these models. Usually we consider linear univariate models for agronomic systems, whereas practices are necessary for nonlinear multiparameter models. Thus, we face the problem proposed to be solved by the application of a phenomenological meaningful systemic cognitive models. These models are created using automated system-cognitive analysis (ASC-analysis) using the intellectual system called "Eidos" directly based on empirical data and used for the decision of tasks of forecasting, decision support and research of the modeled subject area. In this case, empirical data can be large, incomplete (fragmented), noisy, presented in different types of measuring scales (nominal, ordinal and numerical) and in different units of measurement. The comparability of the processing of heterogeneous data is ensured by the fact that they are all converted into units of measurement of the amount of information. A numerical example has been given
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Description
Sommelier evaluates the quality of wine on the basis of their subjective feelings. At the same time, what the sommelier says when evaluating wine, it is difficult or impossible to rationally understand for the uninitiated to this art. The process of assessing the quality of wine by sommelier can not be formalized and is carried out entirely at the sensual level. Sometimes, different sommeliers differently evaluate the same wine poured from the same barrel into bottles of different prestige, with stickers differing in the number of stars. This raises at least two legitimate and natural questions. The first question is whether any subjective sommelier evaluations of the quality of wine are connected with its objective physical and chemical properties? The second question arises in the case of a positive answer to the first one: is it possible to analyze the objective methods of physical and chemical properties of wine to predict its subjective assessment by various sommeliers or some "generalized sommelier", generalizing many such subjective assessments? This article is devoted to obtaining reasoned answers to these questions. The purpose of this work, which is of great scientific and practical interest, is to create a model that provides an automated assessment of the quality of wine based on the analysis of its objective physical and chemical properties, coinciding with its sommelier-evaluation. To achieve this goal, we use Automated system-cognitive analysis (ASC-analysis) and its software tools – the intelligent system called "Eidos". A detailed numerical example based on 1599 real-world examples of sommelier evaluation of wine quality with known physical and chemical properties is considered. In addition to the answer to the two questions in the article, there is a study of the created system-cognitive model
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Description
At present, databases of 27-year observations of various adverse weather conditions and dangerous hydrometeorological phenomena leading to social and economic losses on the territory of Russia are in full open free access. Some of these natural hazards also cause significant damage to agriculture, especially crop production, horticulture and viticulture. Therefore, a great scientific and practical interest is the intellectual analysis of these data, which will create more favorable conditions for the prediction of such adverse events and decision-making, taking into account their possible negative impact on human activity. To achieve this goal, it is necessary to solve the following tasks, which are obtained by decomposition of the goal and are the stages of its achievement: Task 1: cognitive structuring of the subject area. Task 2: preparation of initial data and formalization of the subject area. Task 3: synthesis and verification of statistical and system-cognitive models and selection of the most reliable model. Task 4: solving problems in the most reliable model: - subtask 4.1. Forecasting (diagnostics, classification, recognition, identification); - subtask 4.2. Support decision-making; - sub-task 4.3. Study of the simulated subject area by studying its model (cognitive diagrams of classes and values of factors, agglomerative cognitive clustering of classes and values of factors, nonlocal neurons and neural networks, 3d-integral cognitive maps, cognitive functions). It is proposed to use automated system-cognitive analysis (ASC-analysis) to solve the tasks. The article provides a detailed numerical example illustrating the solution of all these problems
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Description
The aim of this work is to study the strength and the direction of the influence of morphological and biochemical properties of tomatoes on the quantitative, qualitative, financial and economic results of their cultivation and the degree of determinism of these results. Achieving this goal is of great scientific and practical interest for scientists, breeders and vegetable growers-practitioners. This allows breeders to obtain new high-performance varieties of tomato hybrids, and farms to choose hybrids, the cultivation of which is most effective from a financial and economic point of view. To achieve this goal, we use automated system-cognitive analysis (ASC-analysis) and its software tool which is the intelligent system called "Eidos". A numerical example based on real data on tomato hybrids has been considered in detail
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Description
Watermelon has great economic importance. The fruits have high nutritional and medicinal value, excellent taste, very healthy and are in great demand among the population. Soil and climatic conditions of the Temryuk district are favourable for growing watermelon. High yield and excellent fruit quality in the commercial led to the popularity of the Temryuk watermelon not only on the black sea coast, but also throughout Russia. The urgency of improving the assortment of the watermelon is increased competition among manufacturers, increasing consumer culture of the population, the increase in sales volumes, including due to the appearance on the market of varieties and hybrids of non-traditional colors of bark and pulp. The aim of our study was to establish the most adapted hybrids of watermelon of different segments, with high yield and marketability of fruits, which are promising for growing in the Temryuk district. Scientific novelty of our work lead to the research objects – new, recently created hybrids of watermelon, promising for cultivation in the Krasnodar region. The work has great practical significance, since on the basis of these studies identified promising hybrids of watermelon foreign seeds of various segments of the precocity, which with appropriate cultivation agrobiological and economic points of view
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Description
The article presents the results of studies on the biological characteristics of growth and fruiting, as well as the yield of adaptive varieties of strawberries in the conditions of the Prikubanskaya horticulture zone of the Krasnodar region. The objects of study are new and promising varieties of strawberries: Zenga-zengana (k), Onda, San-Diaz. The experiments were performed using the method of randomized reps. In the experiment there are 3 options, in each there are three replications of 20 plants. Variants and repetitions are placed sequentially. Agricultural records of the growth and fruiting of strawberry plants were carried out according to generally accepted methods; statistical processing of research results was carried out using the analysis of a variance method described by B.A.Dospehov. The results of our research showed that Zenga-zengana bushes (control) turned out to be the tallest. In the Onda variety, the height of the bush is 2 cm less than in the control variety; and San Diez varieties are 4 cm, respectively. It should be noted that the most undersized plants require a smaller area of nutrition. It has been established that flowers pollinated a few days after their disclosure develop more rapidly into berries than those that were pollinated immediately after opening. Pollen in flowers of the first order is less than in flowers of the third or fourth order. The stamens of the first flowers are often underdeveloped, their pollen is released and germinates worse. In our experience, the average weight of fruits and the yield as a whole depends on the biological productivity of the varieties. Onda was the most fruitful variety, and the rest varieties were at the control level
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Description
This article presents the results of a study of new me-dium-ripe lines obtained using the donor line Kl7427 for reduced grain harvesting moisture. According to the results of this study, the lines recommended as a starting material for the selection of lines and hybrids of maize of the middle group of ripeness with low grain moisture at the time of harvesting without signif-icant loss of productivity were identified
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ANALYSIS OF SEED PRODUCTIVITY OF ALLIUM GUNIBICUM IN THE CONDITIONS OF INTRODUCTION
Description
As the result of introduction research of Dagestan endemic Allium gunibicum under mountain conditions seed productivity variability data were obtained. An analysis of the data revealed significant difference in seed productivity performance of samples (inflorescence mass, seed mass, mass of 100 seeds, fruit number, ovules number, number of seeds, percentage of fruit bloom, seeds formation coefficient) among themselves both within one-year research and annually. The analysis showed that under the introduction with the same conditions the mean values of seed productivity characteristics decrease together with increasing of the sea level of collecting locations; at the same time, a mass of 100 seeds increases. The most variable factors were found out. They are seed mass in inflorescence, seed number in inflorescence, seeds formation coefficient. And the steadiest factors are a percentage of fruit bloom and mass of 100 seeds. As the result of the one-way analysis of variance a significant influence of the altitude above the sea level and slope disposition were discovered
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ANALYSIS OF TECHNOLOGIES FOR THE PRODUCTION OF FUEL PELLETS BASED ON RAW WOOD
Description
The article presents a brief overview of the technologies for the production of wood-based pellets. The work gives disadvantages and advantages of the products manufactured using the surveyed technologies. A comparative analysis of the granules obtained by the considered technological processes is given. The conclusions are made about the economic and technological feasibility of using the presented technologies using wood waste as a raw material
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ANATOMICAL AND MORPHOLOGICAL COMPARISON OF PEPPERMINT (MENTHA PIPERITA)
Description
The article presents experimental data of comparing anatomical and morphological features and properties of two peppermint varieties in the Hyaginsky district of the Adygea Republic. The economic importance of peppermint is very high. The essential oil rich in menthol, obtained from the leaves and mint colors, is widely used in the medical, perfumery, cosmetic and food industries. In this regard, of great value are varieties of a complex purpose - with high leaf productivity and high % essential oil and menthol. Comparative analysis of morphological and anatomical features of peppermint raw material of peppery two varieties harvested in the territory of the Farm Sazonenko NV of Giaginsky district of the Adygea Republic, showed that the external features of plants differ from each other. The Kubanskaya 6 variety leaves have a larger size, with a higher content of essential oils, incl. menthol. In this regard, the yield of this variety was higher than that of Prilukskaya 6, and therefore the economic indicators of cultivation of the Kubanskaya 6 variety were the best
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