Abstract: Agriculture is the foundation of the sustainability of any economy. It plays a key role in long-term economic growth and structural transformations. In the process of achieving the goal of maximizing yield, the agro-industrial complex faces numerous challenges, including inappropriate soil treatment, disease and pest infestations, low productivity, and gaps in knowledge between farmers and technologies. The main concept of applying AI in agriculture is based on its flexibility, high productivity, accuracy, and economic efficiency. Currently, there are several legal regulatory issues regarding AI systems in agriculture that require clarification from lawmakers, as existing legal norms, both at the international and national levels, are not sufficiently detailed and do not cover all aspects of AI implementation in agriculture. Today, the AI market in agriculture is most developed in three promising areas: machine learning, computer vision, and predictive analytics. Various countries are developing strategies for agricultural practices using artificial intelligence, which should mark the beginning of the development of legal regulation in this field at the international level. Both state and international levels should actively support innovations in AI by creating favorable conditions for the development and implementation of new technologies, as well as ensuring their safety and transparency. Artificial intelligence has high potential to transform the agro-industrial complex, allowing for optimized production, increased yields, reduced resource costs, and minimized environmental damage. However, to realize this potential, several technical, legal, and ethical issues that exist in the regulation of information technologies and artificial intelligence in particular must be addressed.

Abstract: The article examines the social relations that arise in the process of legal regulation and application of modern information technologies in the documentation of the International Maritime Organization (IMO). Technologies are both the reason for the emergence of an acute environmental situation in the world, and an opportunity to solve this problem. Environmental pollution is an urgent problem of our time, which requires both the development of law and technology within one state and within the entire international community. Analyzing various regulations, it is worth noting that different regions have their own peculiarities of climate, landscape, biodiversity, industry, achievements in science and technology are developed to varying degrees. The methodological basis of the article consists of: the universal dialectical method of scientific cognition; general scientific methods: observation, comparison, description, analysis and synthesis. The aggravation of environmental problems of various kinds makes it necessary to develop the economy in an ecological orientation. To ensure development, a sufficient level of experience and the availability of innovative methods are necessary, which creates grounds for improving the technological processes of enterprises in various sectors of the economy to minimize the negative impact on the environment and biodiversity. To solve such a global problem as environmental pollution, it is extremely important to cooperate with states and international organizations, as well as exchange relevant knowledge and experience in the field of ecology and combating environmental disasters. The integration of artificial intelligence technologies into the marine industry is becoming increasingly important. Artificial intelligence definitely has potential in the industry, providing companies with new opportunities for growth, efficiency and sustainable development. As artificial intelligence technology continues to evolve, it is likely to become an important tool for companies in the marine industry, helping them navigate an increasingly complex and competitive landscape

Abstract: The article deals with social relations arising in the process of preventing and eliminating emergency oil and petroleum product spills in the marine environment. The danger of pollution of the marine environment by oil and petroleum products is reviewed, two major accidents related to the spill of oil and petroleum products are mentioned: the release of oil from the Exxon Valdez tanker and the Deepwater Horizon oil spill. The methods used to eliminate accidents in the Baltic Sea, as well as some features of this region, are considered. The special role of the Polar Code in the prevention of pollution of polar waters by oil and petroleum products is considered. The article also discusses the requirements for the prevention of accidental spills contained in international acts. The article notes that most of the existing international legal norms, as well as legal acts of national legislation, are aimed at ensuring compliance with the established rules for the transportation of oil and petroleum products, requirements for the operation of ships, their design features, as well as for the proper operation of equipment. It is necessary to eliminate gaps in legislation regarding the regulation of oil collection under ice in the polar region. It seems necessary to legislatively regulate the use of special means for monitoring oil spills. Legislation in the field of forecasting, accident prevention, as well as taking into account the natural features of the region of production and transportation of petroleum products needs further improvement

Abstract: The author examines the activities of the international community in the field of climate and weather forecasting on the example of the activities of the World Meteorological Organization (WMO), whose members are more than 180 states, including the Russian Federation. The goals of this organization are determined, as well as the main activities to date, including the main projects in the field of climate forecasting. WMO projects such as "GROKO", WMO Information Systems included in strategic plans implemented by the organization within a period of 4 years are being considered. The interaction of WMO with Member States, as well as with other international organizations, for example, the International Civil Aviation Organization (ICAO), was considered.   The author analyzes the activities of the WMO and examines the last World Meteorological Congress, held from May 22 to June 2. The key points that were put up for discussion are reviewed. Conclusions are drawn on the updated WMO policy, taking into account the statements made by the congress participants. The author also discusses the role of modern technologies in weather forecasting, as well as artificial intelligence (AI) in particular. Examples and possible legal problems of the use at the international level of various means of obtaining information about various climatic phenomena and natural disasters throughout the planet Earth are given.

Abstract: The subject of the study is the norms of international law regulating the activities to ensure safety during the transportation of oil and petroleum products. Special attention is paid to the protection of the marine environment from pollution. The author analyzes the international legal documents regulating the protection of the marine environment during the transportation of oil and petroleum products by sea, the existing mechanisms to prevent the occurrence of possible accidents. Recommendations are given to improve the level of marine environment protection during the extraction and transportation of hydrocarbons. It is shown that liquefied natural gas has a number of environmental, commercial and energy advantages over other types of fossil fuels.   Since a common cause of accidents that entail oil and petroleum product spills is the wear and tear of the equipment used in various cycles of production and transportation of both oil and LNG, it is concluded that proper monitoring of the technical condition of the equipment in operation, improvement of the legal framework in this area, as well as compliance with the requirements of legislation in order to identification of objects whose condition poses a threat to the environment.
It is noted that a special role in preventing the negative impact on the state of the environment during the transportation of petroleum products belongs to regional agreements on the protection of the marine environment, since in this case the issue has a more substantive character for each region. The article discusses various directions of using artificial intelligence to increase the level of safety of international sea transportation of hydrocarbons.

Abstract: At the moment, the agricultural sector is a promising direction in the development of modern technologies using artificial intelligence (hereinafter – AI). To prevent hunger, the development of the agricultural sector is seen as relevant. Statistics show that the population of the Earth is growing, respectively, the number of products for providing people with the necessary food products is also increasing. To date, there are three areas of application of modern technologies in agriculture: computer vision, machine learning and predictive analytics. Agricultural robots are created in order to ensure the effective use of AI in the agricultural sector. Artificial intelligence is a complex of software methods that carry out activities comparable to the creative activity of a person. With the use of modern technologies, agricultural enterprises have the ability to remotely carry out weeding, spot-spray pesticides using UAVs, monitor the behavior of livestock, detect animals diseases. The process of spraying plants, checking the soil without delivering it to the laboratory, as well as the process of harvesting and sorting crops is automated. Another application of AI in agriculture is the use of surveillance systems based on artificial intelligence for monitoring, which makes it possible to identify illegal actions, such as unauthorized access to the territory of an agricultural enterprise. The use of technology using artificial intelligence in agriculture makes it possible to reduce possible risks by predicting climate change. The use of computer vision is also used to detect diseases of agricultural crops and livestock.