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OPPORTUNITIES FOR INTRODUCING INNOVATIVE PRECISION FARMING METHODS IN ORGANIC FARMING IN LATVIA
Abstract
Modern agriculture, or precision agriculture, is a method that enables better, more efficient and smarter farming, ensuring sustainable development. Precision agriculture can combine data obtained from GPS systems with data from aerial photographs to precisely determine soil needs based on this data. Combining this with precise weather forecasts and location determination systems provides a powerful tool for more efficient agriculture. New technologies have already created a niche in agriculture. By combining detailed knowledge of the fields with automated systems, farm management becomes increasingly simple and efficient. The purpose of this paper is to provide information on research that investigated and analysed the possibilities of introducing innovative precision farming methods in organic farming enterprises in Latvia. The article summarizes data from the research phase, where organic farming enterprises in the northwestern coastal regions of the country were analyzed. The research methodology includes theoretical concepts of influencing factors and framework structure. The study includes data from expert interviews and a questionnaire survey and analyses the possibilities of developing organic farming enterprises by adopting precision farming methods. Using a case study method, a selection of organic farming enterprises was identified where the effectiveness of implemented precision farming techniques such as GPS, soil analysis, aggregate sensors and a uniform survey programme were analysed and compared. The data will be used in the next stages of the research to compare the possibilities and effectiveness of implementing precision agriculture methods in organic farming in other regions of the country.
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Adamcikova I., Begerova B., Nagy H., Lajda J., Bielik P. (2020) Modernization, innovation and efficiency of agri-food industry in the regional development of Slovakia. Available: https://www.esaf.lbtu.lv/sites/esaf/files/files/lapas/
Celen I.H., Onler E, Kilic E. (2015) A Design of an Autonomous Agricultural Robot to Navigate between Rows. EAME2015. Available: https://www.atlantis-press.com/proceedings/eame-15/22309 DOI: 10.2991/eame-15.2015.97
Delgado J. A., Short Jr, N. M., Roberts D. P., Vandenberg B. (2019). Big data analysis for sustainable agriculture on a geospatial cloud framework. Available: https://www.frontiersin.org/articles/DOI: 10.3389/fsufs.2019.00054/full_journal/bsd2 https://doi.org/10.3389/fsufs.2019.00054
Duckett t., Pearson S., Blackmore S., Grieve B. (2018) Agricultural Robotics: The future of Robotic Agriculture. Available: https://www.researchgate.net/publication/325841365 DOI: 10.31256/wp2018.2
Rennings M., Farina Bursmuller A. P., Broring S. (2022) Convergence towards a digitalized bioeconomy. Exploring cross-industry merger and acquisition activities between the bioeconomy and the digital economy. Available: wileyonlinelibrary.com/ DOI: 10.1002/bsd2.223
Report on ensuring food security and long-term resilience of the EU agriculture. European Union. Available: https://www.europarl.europa.eu/doceo/document/A-9-2023-0185_LV
The Digitalisation of the European Agricultural Sector. European Commission (2023). Available: https://digital-strategy.ec.europa.eu/en/policies/digitalisation-agriculture
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