DEVELOPMENT AND REGULATION OF AGRICULTURAL BIOTECHNOLOGIES: A COMPARATIVE ANALYSIS OF INTERNATIONAL EXPERIENCE
Bibliographic record
Abstract
Current trends in the development of the agricultural sector are characterized by the active introduction of biotechnologies aimed at increasing crop productivity, resistance to stress factors and environmental safety of production. (Research purpose) The research purpose is conducting a comparative analysis of national models of development of agricultural biotechnologies and identifying key areas of scientific and technological progress, regulatory barriers and institutional features of the introduction of innovative solutions in the agro-industrial complex. (Materials and methods) Analytical and comparative-system methods of data processing were used in the study. Prepared materials based on scientific publications, government reports, regulatory documents and patent statistics of the USA, China, India, Brazil, Canada and the European Union. The data were structured according to three levels of analysis: scientific and technical, regulatory and institutional. (Results and discussion) It has been revealed that the global biotechnology sector is in the process of transition from transgenic cultures to integrated systems based on new genomic technologies, including genome editing using CRISPR/Cas9, TALENs, ZFN systems, as well as microbiome solutions, synthetic biology and digital bioprocess management platforms. It was found that the most flexible regulation and high commercialization are observed in the USA, Canada and Brazil, where a product-oriented approach is used. In China and India, development is provided by centralized government programs. In the EU countries, there is a slowdown in growth rates due to process regulation, but the trend towards liberalization of NGT is increasing. It has been shown that the trends of digitalization and integration of artificial intelligence with biotechnological processes are forming a new paradigm - biotechnologies of the digital age. (Conclusions) Effective development of agricultural biotechnological innovations is possible on the basis of a combination of scientific and technical potential, regulatory flexibility and integration of digital technologies. There is a need for international harmonization of biosafety standards and the development of a unified approach to NGT regulation. The results obtained can be used in the development of strategies for the innovative development of the agro-industrial complex and the improvement of national biotechnological programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".