In the current situation, artificial intelligence can improve rural management performance through optimizing resource use, predicting environmental changes, and making intelligent decisions.The aim of the present study is to investigating the impact of artificial intelligence on rural management performance with the mediating role of environmental dynamics in rural areas of Kermanshah county. This research is descriptive in terms of method, applied-practical in terms of purpose, and correlational in terms of nature. The statistical population includes 1300 village heads and council members in the villages of Kermanshah city. The sample size using the Morgan table is 297 people and the sampling method is simple random. The research tools include standard questionnaires for artificial intelligence from Carl Albrecht (2003) with 21 items, for measuring environmental dynamics, the Vera and Crossan questionnaire (2009) with 5 items, and for measuring performance, the Patterson questionnaire (1970) with 15 questions. The validity was confirmed by face, content and construct methods and the reliability was confirmed by Cronbach's alpha at 0.861. The collected data were analyzed based on structural equation path analysis in PLS software. The results showed that artificial intelligence had a positive and significant effect on rural management performance with an impact coefficient of 0.889 and a T value of 217.42, artificial intelligence had a positive and significant effect on environmental dynamics with an impact coefficient of 0.876 and a T value of 0.044, and environmental dynamics had a positive and significant effect on rural management performance with an impact coefficient of 0.273 and a T value of 4.938. Also, the results of the Sobel test showed that artificial intelligence had an effect on rural management performance with a mediating role of environmental dynamics with a T value of 9.361. Therefore, artificial intelligence can play a very important role in rural management performance, especially in optimizing resources, improving public services, environmental management and increasing agricultural productivity.

The drought occurs in a large number of livelihoods of rural households, especially in villages of border areas facing livelihoods. To deal with these effects, the use of coping strategies in rural areas is essential. Therefore, considering the importance of this issue, the purpose of this study was to investigate the effects of drought on rural communities and identify strategies for coping with its implications in border villages in Zahedan. The present research is in terms of purpose, applied and method of combined (quantitative and qualitative). The data collection tool and questionnaire were observed and interviewed with farmers and villagers. The statistical society is related to rural households in Zahedan (10278 households), which uses a simple quota and random quota sampling 380 Household was selected as the first instance. In order to analyze quantitative data, Johansson's exploratory test was used. Exploratory interviews were used to investigate and analyze qualitative analyzes. The results showed that drought in Zahedan city villages had the greatest effect on reducing water resources, cultivation, employment, income, rural poverty, number of livestock or animal products, rural migration, vegetation loss, erosion and soil salinity and reduced price Had land and land. The results of the use of coping practices among farmers in the region showed that the status of using these actions is not suitable, and more than half of the farmers do not use these methods. However, some farmers have used more relatively simple and low cost methods that do not need to specialize and with the characteristics of border villages. In terms of farmers, such as smuggling fuel and goods, leaving the village and migrate to the city, addressing non-agricultural jobs, flooring or lyrics of Qanat and manual nutrition of livestock as the most important methods for compatibility with drought and decrease The effects are it.