№ 154(10), December, 2019
Public date: 30.12.2019
Archive of journal: Articles count 33, 93 kb
-
05.20.01 Technologies and means of mechanization of agriculture (technical sciences)
DescriptionThe problem of linear motion of agricultural transporting vehicle (ATV) without satellite systems is a complex and difficult task. The consequences of non-linear movement associated with irregularity fertilizing, non-compliance between the rows and irregularity plowing leads which will leads to unnecessary costs for operating materials, which will causes significant economics damage to agricultural enterprises. In this case. In this article, we have presented theoretical foundations of simulation modeling of the course motion of the ATV taking into account wheel slipping for analyzing the effects of non-linear motion. There were also some results of checking their adequacy from field tests
-
FRAME EXPERT SYSTEMS USING NEURAL NETWORKS
05.13.18 Mathematical modeling, numerical methods and software complexes
DescriptionThe study was carried out with the financial support of the RHNF as part of the research project of the RHF RFBR 17-02-00475а "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article discusses the use of artificial neural networks in frame expert systems, which in some cases make it possible to bypass a number of limitations of the standard version of frame expert systems. Several options for using neural networks in frame expert systems were considered and a number of tasks to be solved for each
-
06.01.05 Selection and seed production of agricultural plants (agricultural sciences)
DescriptionA significant decrease in yields of field crops due to lack of moisture enhances the role of adaptive breeding. The development of varieties that combine high productivity and quality and resistance to biotic and abiotic stresses is complicated by a negative correlation between high yield and resistance to adverse conditions. Selection of effective methods for assessing the potential of productivity and resistance to stress factors allows creating varieties that provide stable high yields. We had estimated six varieties of common mustard for 10 years in contrasting weather conditions in the zone of insufficient and unstable moisture of the Azov district in the Rostov region. The necessity of taking into account the indicators of the HTC, the index of the environment and its value when conducting an objective analysis of weather conditions is revealed. The greatest stress resistance, ecological plasticity and stability of the Nika variety were established by calculating the difference between the minimum and maximum yield per year, calculating the coefficient of linear regression and the value of homeostasis. The varieties Lera, Donskaya 8, Lux bred in conditions of insufficient moisture demonstrated maximum genetic flexibility and drought resistance. The greatest breeding value was determined in varieties Donskaya 8 and Lera. These varieties are recommended to be included in further breeding work. The study of mustard varieties in contrast conditions (HTC from 0.30 to 1.53) marked their broad environmental plasticity, which makes it possible to recommend them for cultivation in different weather conditions regions