ArticleHeliyon2025
Adoption of drone, sensor, and robotic technologies in organic farming systems of Visegrad countries.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Precision Farming with Smart Sensors: Current State, Challenges and Future Outlook.Sensors (Basel, Switzerland) · 2026Review
- Recent advances in organic agriculture: innovations, challenges, and opportunities.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of Precision Agriculture (PA) technologies into organic farming offers substantial potential for enhancing efficiency and sustainability, yet adoption rates vary significantly across countries. This study presents a model for assessing PA adoption in organic farming within the Visegrad Group countries: Czech Republic, Hungary, Poland, and Slovakia using a survey-based approach. Key technologies examined include drones, sensors, and robots used in organic crop and livestock production. Findings indicate that the Czech Republic leads in drone usage for soil monitoring (70 %), Hungary excels in soil moisture sensors (55 %), Slovakia prioritizes drones for fertilizer application (75 %), and Poland shows significant use of robots for harvesting and seed planting (33 %). This model effectively highlights cross-country differences in PA technology adoption and associated environmental outcomes, addressing a gap in understanding PA use in organic farming in Visegrad group countries. The results of the study provide actionable insights for improving the adoption of Precision Agriculture technologies in organic farming across the selected countries. The findings offer valuable insights for policymakers and stakeholders promoting sustainable agricultural innovation. Limitations include reliance on survey data, which may impact broader applicability, and a geographic focus on the Visegrad region, suggesting the need for future studies in other areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.