مجله علوم و فناوری اطلاعات کشاورزی
پیاپی 10 (پاییز و زمستان 1401)

The article purpose is to explain the relationship between educational platforms in the agricultural sector regarding their principles, tasks and goals with the requirements of knowledge management. The educational platforms are the Staff Training Office and Bureau of Training of Operators and Agricultural Businesses. The relations between fundamental principles of education, the mentioned offices as well as knowledge management are explained. The systematic relationship between the four dimensions of knowledge management such as knowledge, technology, organization, and human compare with the duties of the offices. After that, the effective factors and goals in increasing knowledge in the offices are discussed with emphasis on the process of knowledge management. The results show that there is an inseparable relationship between the principles, duties and goals of the staff and farmers with the foundations of knowledge management. Synergy and alignment between educational affairs and the knowledge management process will increase the level of productivity in the dissemination and systematic exchange of knowledge. As a result, in the growth and development of educational systems, especially in the agricultural field of the country, it is very important to pay attention to knowledge management foundations in the creation of knowledge-based educational systems.

Mankind is facing great problems and challenges in agriculture to provide food: the limitation of land at the same time as the population grows up, the increasing destructive force of agriculture on the world's ecosystems, climate change that has turned agriculture into a risky activity, chemical fertilizers and agricultural toxins that are polluting the crop, water and soil have caused serious risks to human health and the environment. Vertical smart agriculture approach is a human solution to solve existing challenges and future crises. This type of agriculture focuses on the use of data and automation in managing farm activities to save water and soil resources and time while increasing farm productivity. Cultivation throughout the year, protection of crops against atmospheric conditions by creating a safe environment, increasing nutritional value and production of organic products due to the lack of use of poisons and pesticides, remote monitoring and reduction of operating costs are the other its advantages. Smart agriculture has presented the solution of vertical (layered) agriculture for the serious problem of land (space) limitation especially in our country which is facing drought and reduction of water resources.

The word SEO was described based on two perspectives: 1) the perspective of search engines, which is the optimization of search engines; 2) the perspective of website managers and institutions, which is basically optimization "for" search engines. Next, ranking indicators were divided into two parts: 1) content indicators 2) technical-form indicators. It was emphasized that the weight of content indicators is more. It is importante that the strength of academic institutions is the content production.One of the characteristics of knowledge institutions is that a large part of their services can be converted into information and knowledge processes. Its benefits for individual or organizational goals, functions and efficiency are also significant. But sufficient and effective content is produced and published in an organization that is both a place of information and knowledge, as well as good and competent scientists. It means that information and knowledge management should be considered seriously. The necessary software and hardware for managing information and knowledge are also necessary.In the end, some difficulties and challenges regarding the quality of content production and publishing in knowledge organizations is mentioned. Some suggestions for improving the quality of content publishing through websites is also mentoined.

The purpose of this research is to investigate the status of compliance with the "Methodology for Evaluation and Ranking of Scientific Publications" of the MSRT in the extensional journals of AREEO. The research community consists of 18 agricultural extensional journals that were being published until 3/27/2023 and were accessible from the Agriculture Virtual Library section on the website of the ACIST. The research method was a descriptive survey. To collect research data, a researcher-made checklist was used, which consisted of 49 indicators. A checklist was completed for each journal. The collected data were processed in Excel software. Descriptive statistics methods (frequency, average, tables) have been used to analyze the data. The findings of the research showed that the average compliance with the indicators of the publication guidelines in the extensional journals of AREEO was 49.10%. Among the six main indicators of publication, the index of "structure and quality of articles" (87.32 percent) has the highest score, and the general indicators of "observance of publication ethics" (20.66) and "publishing in indexes" (21.70) have the lowest rank. "Agricultural Information Science and Technology" with 94.5 out of 100 points, was the only extensional magazine of AREEO that has received "A" rating.

One of the limiting factors for meteorology and water science research in Iran is the lack of basic information such as temperature and precipitation. From the short length of the time series and the difficulty of preparing statistics, in terms of cost and administrative processes to the low distribution of stations, these defects are among these defects. Today, many sciences such as tourism, agriculture, public health, new energy, sea, air and road transportation, sports, urban planning, industry, disaster forecasting and management and other sciences require satellite meteorology. Meteorological data also plays a key role in land planning. Meteorological data is also used in the field of water losses. There are different ways to meet these statistical needs. Global networked databases are one of the best options. These databases provide meteorological elements from different sources of ground stations, remote sensing information and numerical models in the form of regional or global networking. Their selection is based on comparing the information of different databases with the information of existing ground stations. Among meteorological data, precipitation is the most widely used meteorological element that is used in all development plans. In this article, the rainfall databases are also emphasized.

Climate changes caused by global warming have created very serious challenges for humans. One of the approaches that can reduce the negative effects of the crisis caused by climate change, especially in the issue of food security, is the implementation of climate-smart agriculture policies. This topic has attracted the attention of the scientific community in recent years. Artificial intelligence can help solve complexities surrounding this topic. In this article, along with explaining the concept of climate smart agriculture and introducing artificial intelligence and its related technologies, an attempt has been made to investigate the use of artificial intelligence in the implementation of climate smart agriculture by presenting some practical and operational examples. Specifically, in this paper, AgBiz is introduced as a decision-making tool based on artificial intelligence, the purpose of which is to implement climate-smart agriculture in order to increase the farmer's profit and increase productivity by considering weather and environmental variables. The results confirm the fact that using this tool, the farmer can be put on the right path towards the goals defined in climate smart agriculture in order to achieve the expected results.