{"id":8764,"date":"2026-04-30T16:03:28","date_gmt":"2026-04-30T13:03:28","guid":{"rendered":"https:\/\/www.agrifood.lt\/?p=8764"},"modified":"2026-04-30T16:03:57","modified_gmt":"2026-04-30T13:03:57","slug":"innovative-lithuanian-fintech-sector-drives-the-collection-and-reporting-of-agri-forestry-data","status":"publish","type":"post","link":"https:\/\/www.agrifood.lt\/en\/innovative-lithuanian-fintech-sector-drives-the-collection-and-reporting-of-agri-forestry-data\/","title":{"rendered":"Innovative Lithuanian Fintech Sector Drives the Collection and Reporting of Agri-Forestry Data"},"content":{"rendered":"

Across Europe, agriculture and forestry are becoming increasingly data-driven. Through its research, 4Growth analyses how digital technologies evolve across seven observatories. Drawing on results from the first two survey waves collected by\u00a0Agrifood Lithuania<\/a>, this blog explores\u00a0how Lithuanian operators collect, store and share data<\/strong>, and what this reveals about their digital transformation.<\/p>\n

<\/h3>\n

Lithuania in Context: Farmers, Foresters and Digital Innovation<\/strong><\/h2>\n

With over\u00a038% of its land area covered by forests<\/strong>\u00a0and a predominantly\u00a0small-scale, mixed farming structure<\/strong>, Lithuania creates strong demand for effective digital data solutions.<\/p>\n

4Growth survey data show that Lithuanian respondents are primarily producers (farmers and foresters), with the survey sample closely reflecting the national agricultural landscape:\u00a039.8% arable agriculture<\/strong>,\u00a020.8% livestock<\/strong>, and\u00a017.3% mixed operations<\/strong>.\u00a0Forestry activities<\/strong>, including reforestation, felling, forest inventory and fire management,\u00a0represent a smaller share<\/strong>.<\/p>\n

\"\"<\/p>\n

This predominantly agricultural base, combined with Lithuania\u2019s growing digital infrastructure, creates fertile ground for digitalisation.\u00a0Lithuania\u2019s broader digital ecosystem, including fintech, supports the development of data-driven services for the agri-forestry sector<\/strong>, offering farm-level financial dashboards, payment automation, and data-linked credit scoring.<\/p>\n

<\/h2>\n

What Data Are Lithuanian Agri-Forestry Operators Collecting?<\/strong><\/h2>\n

The 4Growth survey reveals a broad and diverse data collection landscape among Lithuanian respondents. Financial and operational data lead the way, accounting for 19.9% of all responses\u2014well above the European average of 11.1%. This is followed by crop and yield data at 16.9%, while soil data and weather and environmental information each make up 11.8% of the data collected. Livestock data represents 10.3%, and pest and disease monitoring accounts for 11.1%, reflecting a balanced focus across key areas of farm management. Lithuania\u2019s emphasis on\u00a0Financial and Operational data collection is a standout finding<\/strong>\u00a0across all countries surveyed. This suggests that\u00a0Lithuanian operators<\/strong>\u00a0already\u00a0place strong importance on tracking economic and operational performance<\/strong>.<\/p>\n

\"\"<\/p>\n

Data Sharing: Between Caution and Openness<\/strong><\/h2>\n

Data sharing behaviour among Lithuanian agri-forestry operators presents an interesting contrast. Compared to other countries surveyed in 4Growth, over half of respondents (50.7%) report not sharing their agri-forestry data\u2014the second highest share among surveyed countries\u2014while 32.4% engage in restricted sharing. At the same time, 16.9% report open sharing, a relatively higher rate compared to countries such as Finland (8.2%) and Poland (5.3%).<\/p>\n

This contrast reflects a\u00a0fragmented data landscape, where many small operators lack incentives or infrastructure to share data, while a growing smaller group involved in cooperative structures or digital service platforms participates in more open ecosystems<\/strong>.<\/p>\n

\"\"<\/p>\n

This highlights a clear opportunity for integrated digital solutions. Platforms linking payments with data reporting can enable routine sharing of operational and financial data for farmers, shifting from isolated use to more connected data ecosystems.<\/p>\n

<\/h2>\n

Technology Integration: Strong Foundation, Room to Grow<\/strong><\/h2>\n

56% of all 4Growth survey respondents<\/strong>\u00a0report having integrated digital technologies into their operations<\/strong>.<\/p>\n

In Lithuania<\/strong>, this figure is slightly lower at 47.5%, with\u00a0adoption largely centered on tools supporting farm management and field data collection.<\/strong>\u00a0Field data collection tools dominate usage (47.6%), followed at a distance by research data platforms (14.7%), precision agriculture and forestry technologies (12.7%), and IoT devices and sensors (11.3%). This distribution highlights a strong focus on operational data capture, with more advanced or interconnected technologies still gaining ground.<\/p>\n

\"\"<\/p>\n

In Lithuania, these technologies are most frequently used for:\u00a0Monitoring and Surveillance<\/strong>\u00a0(24.5%),\u00a0Production Phase Enhancement<\/strong>\u00a0(21.6%), and\u00a0Planning and Management<\/strong>\u00a0(20.1%). Decision-support, planning and supply chain optimisation round out the picture.<\/p>\n

\"\"<\/p>\n

Barriers to Digital Adoption: Costs and Connectivity<\/strong><\/h2>\n

Despite increasing digitalisation, several barriers still limit the broader uptake of technology. The 4Growth survey shows that\u00a032% of Lithuanian respondents report barriers<\/strong>\u00a0to further digital technology integration \u2013 slightly below the European average of 35%, and considerably lower than countries like France (52.6%) or Spain (65.4%).<\/p>\n

Among Lithuanian operators who identified barriers,\u00a0these include high technology costs, limited interoperability, connectivity constraints in rural areas, and gaps in digital skills among older or smaller operators.<\/strong><\/p>\n

\"\"<\/p>\n

These barriers are particularly relevant in a country where 80.9% of agri-operators are classified as small enterprises, highlighting the importance of accessible and affordable digital solutions.<\/p>\n

<\/h2>\n

Data Storage: The Infrastructure Gap<\/strong><\/h2>\n

The way agri-forestry data is stored also influences its future usability and shareability. In Lithuania,\u00a038.0% of respondents rely on on-premises or local storage<\/strong>\u00a0as their primary solution \u2014 mirroring the European survey average and underlining continued data fragmentation across the sector.<\/p>\n

Data warehouses<\/strong>\u00a0are the second most common solution (27.5%), followed by\u00a0cloud-based platforms<\/strong>\u00a0(24.0%).\u00a0Hybrid storage<\/strong>\u00a0accounts for a modest 6.5%, while\u00a0agricultural information management systems<\/strong>\u00a0(3.5%) and\u00a0Geographic Information Systems<\/strong>\u00a0(0.5%) remain marginal.<\/p>\n

\"\"<\/p>\n

The continued reliance on local storage, particularly among smaller Lithuanian operators, suggests that\u00a0a significant portion of agri-forestry data remains fragmented and difficult to integrate.<\/strong><\/p>\n

<\/h2>\n

Conclusion: How to Unlock the Agri-Forestry Data Value in Lithuania<\/strong><\/h2>\n

Lithuanian agri-forestry operators<\/strong>\u00a0are<\/strong>\u00a0already collecting<\/strong>\u00a0significant amounts of data, particularly\u00a0financial and operational information<\/strong>.<\/p>\n

However, important\u00a0gaps remain in data sharing, storage infrastructure and system interoperability.<\/strong>\u00a0Addressing these challenges will be key to unlocking the full potential of digital agriculture.<\/p>\n

Lithuania\u2019s digital ecosystem can support this transition by enabling better data integration and use.\u00a0By connecting financial systems with agri-forestry data flows, new digital services could help farmers and foresters make better decisions, access finance more easily and meet evolving regulatory requirements.<\/strong><\/p>\n

As 4Growth continues, Lithuania remains a key case study for digital innovation in European agri-forestry. The\u00a04Growth Visualisation Platform<\/a>,\u00a0where aggregated survey results and cross-country comparisons can be explored, provides a dynamic view of digital adoption trends across the project\u2019s observatories.<\/p>\n

Authored by Adel\u0117 Janulionyt\u0117 on behalf of AgriFood Lithuania. Edited by Evenflow.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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