THE INTELLIGENCE OF NATURE: HOW AI IS REDEFINING ORGANIC PRODUCTION IN 2026

Authors

  • Kholmukhammedov Abdulaziz Author
  • Avazbekova Jasmina Author

Keywords:

Keywords : AI in Food Production, Organic Product Manufacturing, Industry 5.0, Predictive Integrity, Sustainable Manufacturing.

Abstract

Abstract: As the global organic market nears $136 billion, manufacturers face 
a "scaling gap" driven by high labor costs and strict chemical-free mandates. This article 
explores the shift toward Industry 5.0, where AI ensures predictive integrity through 
technologies  like  Hyperspectral  Imaging  and  E-Noses,  achieving  99%  detection 
accuracy for contaminants. We analyze the financial transition from variable labor to 
fixed  tech  investments,  which  typically  cuts  food  waste  by  30–40%.  Finally,  we 
examine  the  regulatory  landscape,  including  the  EU  AI  Act  and  ISO/IEC  42001, 
highlighting  how  AI-driven  precision  enables  large-scale,  sustainable  organic 
production while maintaining the "natural" promise. By synthesizing these technical 
and economic perspectives, the study provides a roadmap for producers navigating the 
digital transformation of heritage farming practices. 

References

References

1. ISO/IEC 42001:2023. Information technology — Artificial intelligence —

Management system. International Organization for Standardization.

2. Koppert Biological Systems (2025). Annual Sustainability and Innovation Report:

AI in Natural Enemy Production.

3. Lu, Y., & Chen, Y. R. (2025). "Hyperspectral Imaging for Food Quality and Safety

Control: A Comprehensive Review." Journal of Food Engineering, Vol. 342.

4. Organic Trade Association (OTA) (2026). Organic Industry Survey: 2026 Market

Analysis and Digital Transformation Trends.

5. USDA National Organic Program (2025). Electronic Recordkeeping and

Automated Audit Trails for Organic Certification: Guidance Document 2025-01.

6. Wang, H., et al. (2025). "Digital Twins and Reinforcement Learning for Energy Optimization in Sustainable Manufacturing." International Journal of Production

Research.

7. Smith, J. A., & Doe, B. (2026). "Biomimetic Sensing in Organic Chains: E-Nose

Applications for Pathogen Early Detection." Agri-Tech Reviews, 14(2), 112–125.

8. Redmon, J., et al. (2026). "YOLOv11: Real-time Object Detection for Non-

Uniform Biological Structures in Agricultural Lines." Computer Vision and

Pattern Recognition (CVPR).

Published

2026-04-15

How to Cite

Kholmukhammedov Abdulaziz, & Avazbekova Jasmina. (2026). THE INTELLIGENCE OF NATURE: HOW AI IS REDEFINING ORGANIC PRODUCTION IN 2026 . TADQIQOTLAR, 84(1), 314-318. http://journalss.org/index.php/tad/article/view/25077