In the experiment, the effect of the use of an intelligent spreader on increasing the efficiency of nitrogen fertilizers used to feed winter wheat in ordinary chernozem was studied. The studies were carried out in the production conditions of land use by AO SHP Kolos in the Kochubeyevsky district. In this article, we examined the effect of a sprayer (Amazone UG 3000 Nova) and an intelligent mineral fertilizer spreader (Amazon ZA - TS - 4200) using touch sensors to determine the NDVI development index on the efficiency of nitrogen fertilizing winter wheat. Based on the experiments, it was found that, on average, over the two years of the study, the largest increase in the yield of winter wheat grains was noted in the variant with the introduction of ammonia nitrate in the first and second fertilizers using the intelligent fertilizer spreader Amazon ZA - TS - 4200 according to the NDVI - 6.53 t / ha. The highest structural indices of winter wheat grain yield were also noted in the variant with the introduction of ammonium nitrate in the first and second fertilizers using the Amazon ZA - TS - 4200 intelligent fertilizer spreader according to the NDVI index. So, the height of plants increased by 16.3 cm, the number of productive stems per 1 m2 by 37 pcs. The number of grains in the ear - by 5 pcs., The weight of 1000 grains - 0.8 g. According to the results of the experiments, it was established that in the conditions of land use by JSC "Agricultural Enterprise" Kolos "of the Kochubeyevsky District of the Stavropol Territory when planning the harvest of winter wheat - 6.5 tons / ha, it is advisable to use in the first and second top dressing of ammonium nitrate with a dose of 150 kg / ha, using the Amazon ZA - TS - 4200 intelligent fertilizer spreader according to the NDVI index
The article studies the influence of the different time sowing periods of Volzhsky First winter barley variety on the grain yield and the elements of its structure in the conditions of LLC “Vpered” of the Spassky district of the Nizhny Novgorod region on light gray forest soil. The research was being conducted from 2015 to 2018. The barley was sown in four periods: from August 20 to September 19 (with an interval of 10 days) with the clean fallow as its predecessor. We used the seeding rate of 2.5 million seedlings per hectare. The maximum grain yield of the winter barley was 3.94 t / ha. This corresponds to the sown date of August 20, the density of productive stalk of 226 pieces / m2 and an ear productivity of 1.800 g. Winter barley has a high tillering ability. The maximum value of the coefficient of productive bushiness – 4,80 and 3.25 was noted when sowing the barley on August 20
The aim of the following research is the studying of the efficacy in probiotic drug Probiolact (0.5% and 1.0%) usage, being in combination with Milkshake supplement. The given complex mixture is meant for medicative-phylactic purposes focused on the reduction of young ones death rate owing to gastro – intestinal diseases when neo-natal period. It is specified that the above-mentioned mixture affects the livestock indices. Thus, the average growth of baseline for the period of 30 days experimenting has been 7.4 kg, whereas in 2 tested groups it accounted for 10.3 kg and 11.6 kg, consequently. Therefore, the best possible daily phylactic doze of Probiolact (1%) and Milkshake mixture demonstrates the positive effect on the pro-cess of bifido- and lactoflora formation in calves’ intestinal tract due to normal flora cells quantity increase. With that, intestinal tract contamination level of disease-producing flora gets lower, and the natural resistance of cell-mediated immunity grows. Thus, two major problems of factory farming (i.e. the reduction of young death rate and surplus guarantee) can be solved with giving calves the mixture to drink, along with the first portions of colostrum, and during the following 30 days
The article presents ways to estimate the socio-economic condition of the subjects of the Russian Federation using fuzzy production systems, discriminant analysis and neural networks. This study is based on the thirteen indicators of the socio-economic condition of the regions of the Russian Federation identified by RIA Rating rating agency. The goal of the work is to develop a software package combining the estimation methods above and allowing to get three alternative estimation options for a subject of the Russian Federation, using these thirteen indicators. The developed program assigns each region an estimation from the following set: AAA– the highest socio-economic condition, AA - very high, A– high, BBB– above average, BB– average, B– below average, CCC– low, CC– very low, C– the lowest indicators of the socio-economic conditions in the region of the Russian Federation. The software package is developed in Matlab and has an intuitive interface. The results can be used as an alternative to current methods of estimation of the socio-economic indicators
The instrumental methods of economics include the Monte Carlo method (statistical simulations method). It is widely used in the development, study and application of mathematical research methods in econometrics, applied statistics, organizational and economic modeling, in the development and making management decisions, in the basis of simulation modeling. The new paradigm of mathematical research methods developed by us is based on the use of the Monte Carlo method. In mathematical statistics, limit theorems on the asymptotic behavior of the considered random values were obtained for many methods of data analysis with an unlimited increase in sample volumes. The next step is to study the properties of these random values for finite sample sizes. For such a study, the Monte-Carlo method is used. In this article, we use this method to study the properties of statistical criteria for testing the homogeneity of two independent samples. We considered the most used in the analysis of real data criteria - Cramer-Welch, which coincides with the equality of the sample sizes with Student's criterion; Lord, Wilcoxon (Mann-Whitney), Wolfowitz, Van der Waerden, Smirnov, type omega-square (Lehmann-Rosenblatt). The Monte Carlo method allows us to estimate the rates of convergence of distributions of criteria statistics to the limits, to compare the properties of the criteria for finite sample sizes. To use the Monte Carlo method, it is necessary to select the distribution functions of the elements of the two samples. For this purpose, normal and Weibull – Gnedenko distributions are used. The recommendation was received: to test the hypothesis of coincidence of distribution functions of two samples, it is advisable to use the Lehmann-Rosenblatt (type omega-square) test. If there is reason to assume that the distributions differ mainly by the shift, then the Wilcoxon test and Van der Waerden criteria can also be used. However, even in this case, the omega-square type test may be more powerful. In the general case, besides the Lehmann-Rosenblatt criterion, the use of the Smirnov criterion is permissible, although for this criterion the real level of significance may differ from the nominal level of significance. We sstudied the frequency of discrepancies of statistical findings on different criteria
The problems of import substitution, resource features of the agrarian economy, through which you can generate significant competitive advantage, are discussed. It is noted that low abroad interest rates on loans create obvious unequal starting opportunities throughout the domestic business. As a result the cost of imported food in value chain terms reached in our country an enormous rate of $45 billion and that government realized the need of strengthening of food security, transferring of production of traditional kinds of products which form the basis of consumption of the population in our country, to the domestic market. It is noted that we need temporary moderate state protectionism and protection of the domestic market with the aim of modernizing the economy, attracting investors in the important field of production with high risks. The main problems and solutions that will help to further successful implementation of this strategy in the sectors of our economy are highlighted. It is noted that our region has the most effecting rural industrial structure, the best country’s climate, enlarged crop rotation, cheap labor resources, extensive experience in agribusiness. It is proposed to perform a set of measures to reduce systemic risks in agribusiness
In this work we have given the analysis of the literary data confirming positive experience of impact of the hydrocarbon substance of growth (HSG) on viability of seeds, resilience, growth of plants, and productivity of various crops. It is shown that the basic experimental data belong to the 60th of the XX century. At the same time, works on application of HSG have been generalized for the first time in the collection of works of the Academy of Sciences of the Azerbaijani SSR by Institute of soil science and agrochemistry. HSG represents the by-product of petro processing received at sulphuric acid cleaning of diesel fuel with further processing with alkaline solution of NaOH. It includes mainly mixture of sodium salts of naphthenic acids. On the basis of literary data and own probes it is established that for each culture there is optimum very small concentration of HSG (0.005-0.01%), processing by solution of which makes positive impact on viability, growth and development of crops. The results of probes of blood formation of animals [8] and growth of mass of birds allow considering HSG ecologically safe. We have also presented the results of pilot study of impact of pre-seeding processing of seeds of wheat and peas by water solutions of the hydrocarbon growth substance (HSG) on their morpho-physiological parameters. The most effective concentration of HSG for processing of seeds of spring wheat of grade "Saratov" and grade peas "Alpha" is revealed. It is shown that the stimulator in concentration of 0.005-0.01% proves as stimulator of crop growth. It follows that degree of efficiency of action of HSG on improvement of development and increase in productivity of agricultural products from use of this drug is quite high. Considering that the stimulator can be received at insignificant expenses as a waste product of the purified diesel fuels, its application in agriculture is economically justified
The article introduces a study on the creation of a simulated physical and mathematical model of the working process of a strip thrower, throwing soil in a directed flow. The problem solved with the help of this work is aimed at optimizing the cutting and ejection process in a given direction of the soil with minimal energy consumption with a maximum emission range. The article describes a methodology for calculating the milling thrower, which is oriented to the formation of the required amount of soil to create a mineralized strip at the edge of a forest bottom fire. Improving and realizing the full reproduction of physical and mathematical models using process simulations, you can save resources on the development of forestry aggregates. The study presents a productive method of processing soil with milling cutters, which helps to reduce energy consumption due to the formation of oriented mineralized flows of soil. For a physical and mathematical description of the process, a simulation program has been compiled that allows you to test the specific task of minimizing energy consumption at a maximum distance of soil discharge with a constant flow density to the rotational speed of the milling throwers
Video camera is the source of the image of the object selected for observation or protection. Video cameras are used to collect information, being sometimes indispensable device. When analyzing images, it is important that the condition for the accurate operation of the video frame transmission system is fulfilled. All cameras have a slight delay in image transmission. For image analysis, it is important to know the delay time
One of the key problems facing medicine is the correct diagnosis given in a timely manner. For all the existence of medicine, humanity has accumulated a lot of knowledge in this area. According to this knowledge, new specialists are trained. But there is so much information that it is sometimes impossible to find the right information in it in time, and this can cost the person who came to see a doctor very expensive. In this specialist comes to the rescue computer. Information technologies, training in information bases perfectly cope with the task of identifying the disease and providing the most appropriate information