The study has been conducted in the newly developed by lift irrigation areas of Karshi steppe (Uzbekistan). The research questions included an assessment of the climate change impact on agricultural production. The studies allowed to examine main factors affecting the behavior of agricultural producers in the face of climate change, as well as their current practices and skills for adapting to the effects of climate change. As research results show, the impact of climate change on irrigated agriculture in the study areas has become especially tangible over the last decade. In this regard, situations arise with crop losses and reduced quality of agricultural products. According to research outcomes the agricultural producers have general information and general knowledge about climate change and its impact on agriculture. The most important consequences caused by the climate change impact on irrigated agricultural production include - increasing in water scarcity, growing in numbers of agricultural pests and plant diseases, declining in crop yields, instability and unpleasant weather surprises, the need to spend more labor and resources to get a satisfactory crop yield, salinization of land and water resources contamination, increase in the frequency and intensity of extreme weather events such as droughts and frosts, and others.
Sustainability of irrigated agricultural development has been severely impacted by global climate change in recent decades, which is among the main environmental and economic problems facing the world community. The article presents the results of the research conducted in selected areas of irrigated agriculture in eastern Uzbekistan to study the impact of climate change on agricultural production and the agricultural producer’s perspective and awareness. Major factors affecting agricultural producers’ behavior under climate change and their current practices and skills for adapting to climate change were studied. The field study has been conducted in 9 districts located in two regions of the Ferghana valley. The respondents-representatives of agricultural producers selected from the list of Farmer’s Associations members taking their location relative to irrigation water sources into account. Quantitative analysis of data carried out with the use of SPSS-22 software. As the research results show, the impact of climate change on irrigated agriculture has become incredibly tangible in the last decade. It affected the situation with losses in yields of up to 16% and decreasing the quality of agricultural products. The rural population’s vulnerability factors include low income from agriculture, acute dependence on irrigation in conditions of increasing water scarcity, low level of applied technologies, adaptation measures, low yields, land degradation, etc. Analysis of the research results, and other related studies on this issue, allows us to indicate directions for improving adaptation measures in the short, medium, and long-term periods.
Today, in public transport planning systems, it is relevant to a search for a possible route with a minimum time. The aim of the work is the development of intelligent algorithms for constructing public transport routes, the development of programs, and the conduct of a computational experiment. Research methods are the theory of neural networks. The paper considers Hopfield neural networks and proposed recurrent neural networks. However, in Hopfield neural networks, the chances of solving this optimization problem decrease as the matrix size increases. A recurrent neural network is proposed, represented by a differential equation to solve this problem. As a result, the number of iterative computations can be reduced by n2 times than in the Hopfield network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.