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In a world increasingly shaped by data, its exponential growth demands global organizations to swiftly embrace and synchronize with the prompt evolution of our lives. Innovations in storage technology, the advent of IoT (Internet of Things), and the emerging regulations of the European Union, such as the General Data Protection Regulation (GDPR), all underscore how "Big Data" propels economic transformation. Amid the rapid proliferation of artificial intelligence and technology, Europe's digital overhaul assumes paramount importance, as recent crises underscore the urgency for more effective alternatives that fuel the imperative shift towards sustainability. The concept of "Big Data" has been integrated as a central pillar in the EU's digital transformation strategy, set for 2030, and consequently, within the ambit of its green strategy. This sector's inherent opportunities contribute to the EU's pursuit of climate neutrality by 2050. At its core, "Big Data" involves the amalgamation of extensive and diverse information, subjected to algorithmic analysis to drive decision-making. The data's significance extends beyond economic implications, permeating diverse domains such as safety, health, agriculture, environment, law, and even individual contexts, thereby accentuating the intrinsic essence of "Big Data". This paper addresses the intricate demands posed by the rapid expansion of this type of data, which is experiencing exponential growth in terms of accessibility and automated integration within digital landscapes. Its efficacy is contingent upon not merely the escalating capabilities of technology to facilitate the accumulation and retention of substantial data quantities, but also on its proficiency to conduct thorough analysis, comprehension, and effective utilization of the data's complete worth. [ABSTRACT FROM AUTHOR]

The purpose of paper consists in developing the economic mechanism for increase in effective management of land resources in agriculture. Theoretical provisions of institutionalism, management, system approach, the general scientific and special methods were used in the course of the research. Considering influence of negative externalities on the market of the agricultural land and a deviation of the prices from equilibrium level, it is expedient to influence a market turnover of agricultural grounds by means of the priority directions of development: reductions of transactional costs for execution of transactions and registration of the property rights to the land plots, updating of cadastral cost of the land plots, accelerations of differentiation of the lands which are in federal, regional, regional property, etc. As a result of a research authors constructed the regional economic mechanism of management of land resources in agriculture on the basis of use of digital technologies. Thus, the mechanism includes the executive power, scientific centers, higher educational institutions, software products providing accumulation, updating, structuring, storage of cartographic and thematic information for adoption of optimal management decisions. The offered economic mechanism is recommended to be used when developing state programs. [ABSTRACT FROM AUTHOR]

Digitalisation is promoted by both private and public actors as a way of contributing to the ecologisation of agriculture. However, this idea remains controversial. The debate is all the more crucial, as different ecologisation models exist, and as agriculture is experiencing new levels of industrialisation. In the literature, use of digital technology in agriculture has mainly been approached from a linear perspective of adoption but is rarely linked to ecologisation. In this paper, we aim to define digital use profiles of farmers and explain how they relate to ecologisation models. We distinguish production and information technologies. Based on 98 interviews with crop farmers in Occitanie (France), we show that there is a diversity of digital profiles. Through a mixed-method, we relate these profiles to a set of variables representing ecological and economic transformation in agriculture. It highlights links between some digital profiles and the further industrialisation of agriculture intertwined with weak or symbolic ecologisation. However, some digital uses associate with new forms of ecologisation that are based on input substitution. Digital use does not appear to support stronger ecologisation of farming. This study highlights the risk of a single model of digitalisation that only promotes one type of ecologisation pathway. • A diversity of digital technology use profiles exists. • Some digital uses are linked to the industrialisation of farming models. • Some digital uses are associated with the industrial development of organic farming. • Digital technology for information helps ecologisation changes already underway. [ABSTRACT FROM AUTHOR]