UTILIZATSIYA QILINADIGAN BEGONA O‘TLAR VA O‘SIMLIK QOLDIQLARIDAN TEZKOR CHIRINDI HOSIL QILISHNING INTELLEKTUAL TIZIMI

Mualliflar

  • Sanjarbek Tengelov Author
  • Aktam Denmuxammadiyev Author

##doi.readerDisplayName##:

https://doi.org/10.68023/187pk479

Kalit so‘zlar:

begona o‘tlar, o‘simlik qoldiqlari, kompostlash, chirindi, Noravshan boshqaruv, intellektual tizim, aeratsiya, matematik model.

Abstrak

Maqolada utilizatsiya qilinadigan begona o‘tlar va o‘simlik qoldiqlaridan tezkor chirindi (barqaror organik o‘g‘it) hosil qilish uchun intellektual boshqaruv tizimi taklif etilgan. Tizim reaktor ichidagi harorat, namlik va kislorod sharoitini datchiklar orqali o‘lchab, aeratsiya va suv berishni Noravshan (fuzzy) regulyator
yordamida boshqaradi. Organik moddaning parchalanishi, issiqlik va namlik balansi matematik modeli asosida to‘rt ssenariy (passiv; o‘zgarmas aeratsiya; Noravshan boshqaruv; sanitariya bosqichli Noravshan boshqaruv) solishtirilgan. Shartli model hisobida Noravshan boshqaruv organik moddaning 50 % i parchalanish vaqtini 6,7 sutkagacha qisqartirgan, o‘zgarmas aeratsiya va namlik nazoratida bu ko‘rsatkich 16,8 sutkani tashkil etgan (60 % farq). Haroratga asoslangan sanitariya begona o‘tlar urug‘lari uchun kafolat bermasligi aniqlangan, shu sababli qabul mezoni sifatida germinatsiya sinovi tavsiya etiladi. Natijalar eksperimental tasdiqni talab qiladi.

References

1. B. Khalikov, S. Negmatova, U. Makhmudov, “Changes in the dynamics of humus of the soil content in the continuous sowing of cotton,” BIO Web of Conferences, vol. 78, art. 02008, 2023. DOI: https://doi.org/10.1051/bioconf/20237802008

2. D. Burkhanova, M. Urmanova, N. Kuchkarova, M. Karimov, “Analysis of approaches to increase the fertility of irrigated typical gray and meadow soils in Uzbekistan,” E3S Web of Conferences, vol. 563, art. 03097, 2024. DOI: https://doi.org/10.1051/e3sconf/202456303097

3. A. Makhkamova, B. Kamilov, “Importance of humine preparation and organic fertilizers in improving the fertility of eroded typical gray soils,” E3S Web of Conferences, vol. 376, art. 02015, 2023. DOI: https://doi.org/10.1051/e3sconf/202337602015

4. C. O. Onwosi et al., “Composting technology in waste stabilization: On the methods, challenges and future prospects,” Journal of Environmental Management, vol. 190, pp. 140–157, 2017. DOI: https://doi.org/10.1016/j.jenvman.2016.12.051

5. A. Cerda, A. Artola, X. Font, R. Barrena, T. Gea, A. Sánchez, “Composting of food wastes: Status and challenges,” Bioresource Technology, vol. 248, pp. 57–67, 2018. DOI: https://doi.org/10.1016/j.biortech.2017.06.133

6. A. J. Thompson et al., “The effect of temperature on viability of imbibed weed seeds,” Annals of Applied Biology, vol. 130, no. 1, pp. 123–134, 1997.

7. Y. Xiao et al., “Continuous thermophilic composting (CTC) for rapid biodegradation and maturation of organic municipal solid waste,” Bioresource Technology, vol. 100, pp. 4807–4813, 2009. DOI: https://doi.org/10.1016/j.biortech.2009.05.013

8. M. Neugebauer, P. Sołowiej, J. Piechocki, “Fuzzy control for the process of heat removal during the composting of agricultural waste,” Journal of Material Cycles and Waste Management, vol. 16, pp. 291–297, 2014. DOI: https://doi.org/10.1007/s10163-013-0188-8

9. F. Aydın Temel, Ö. Cağcağ Yolcu, N. G. Turan, “Artificial intelligence and machine learning approaches in composting process: A review,” Bioresource Technology, vol. 370, art. 128539, 2023. DOI: https://doi.org/10.1016/j.biortech.2022.128539

10. H.-N. Guo, S.-B. Wu, Y.-J. Tian, J. Zhang, H.-T. Liu, “Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review,” Bioresource Technology, vol. 319, art. 124114, 2021. DOI: https://doi.org/10.1016/j.biortech.2020.124114

11. Z. Liu et al., “The progress of composting technologies from static heap to intelligent reactor: Benefits and limitations,” Journal of Cleaner Production, art. 122328, 2020. DOI: https://doi.org/10.1016/j.jclepro.2020.122328

12. I. G. Mason, “Mathematical modelling of the composting process: A review,” Waste Management, vol. 26, pp. 3–21, 2006. DOI: https://doi.org/10.1016/j.wasman.2005.01.021

13. E. Walling, A. Trémier, C. Vaneeckhaute, “A review of mathematical models for composting,” Waste Management, vol. 113, pp. 379–394, 2020. DOI: https://doi.org/10.1016/j.wasman.2020.06.018

14. Z. Yang, F. Muhayodin, O. C. Larsen, H. Miao, B. Xue, V. S. Rotter, “A review of composting process models of organic solid waste with a focus on the fates of C, N, P, and K,” Processes, vol. 9, no. 3, art. 473, 2021. DOI: https://doi.org/10.3390/pr9030473

15. I. Petric, V. Selimbašić, “Development and validation of mathematical model for aerobic composting process,” Chemical Engineering Journal, vol. 139, pp. 304–317, 2008. DOI: https://doi.org/10.1016/j.cej.2007.08.017

16. Y. P. Lin, G. H. Huang, H. W. Lu, L. He, “Modeling of substrate degradation and oxygen consumption in waste composting processes,” Waste Management, vol. 28, pp. 1375–1385, 2008. DOI: https://doi.org/10.1016/j.wasman.2007.09.016

17. X. He, L. Han, J. Ge, G. Huang, “Modelling for reactor-style aerobic composting based on coupling theory of mass-heat-momentum transport and Contois equation,” Bioresource Technology, vol. 253, pp. 165–174, 2018. DOI: https://doi.org/10.1016/j.biortech.2018.01.040

18. Y. Wang, P. Ai, H. Cao, Z. Liu, “Prediction of moisture variation during composting process: A comparison of mathematical models,” Bioresource Technology, vol. 193, pp. 200–205, 2015. DOI: https://doi.org/10.1016/j.biortech.2015.06.100

19. E. Giusti, S. Marsili-Libelli, “Fuzzy modelling of the composting process,” Environmental Modelling & Software, vol. 25, no. 5, pp. 641–647, 2010. DOI: https://doi.org/10.1016/j.envsoft.2009.05.010

20. S. T. MacGregor, F. C. Miller, K. M. Psarianos, M. S. Finstein, “Composting process control based on interaction between microbial heat output and temperature,” Applied and Environmental Microbiology, vol. 41, pp. 1321–1330, 1981.

21. J.-J. Su, H.-C. Huang, Y.-C. Chen, M.-Y. Shih, “A design of a solar fermentation system on chicken manure by fuzzy logic temperature control,” Applied Sciences, vol. 11, no. 22, art. 10703, 2021. DOI: https://doi.org/10.3390/app112210703

22. P. Balaganesh et al., “Performance evaluation of an IoT-enabled rapid composter for mixed organic wastes,” in Intelligent Technologies for Scientific Research and Engineering, Bentham Science, pp. 70–79. DOI: https://doi.org/10.2174/9789815079395123010009

23. M. P. Bernal, J. A. Alburquerque, R. Moral, “Composting of animal manures and chemical criteria for compost maturity assessment. A review,” Bioresource Technology, vol. 100, no. 22, pp. 5444–5453, 2009. DOI: https://doi.org/10.1016/j.biortech.2008.11.027

24. S. M. Tiquia, T. L. Richard, M. S. Honeyman, “Carbon, nutrient, and mass loss during composting,” Nutrient Cycling in Agroecosystems, vol. 62, pp. 15–24, 2002. DOI: https://doi.org/10.1023/A:1015137922816

Nashr qilingan

2026-10-10

How to Cite

UTILIZATSIYA QILINADIGAN BEGONA O‘TLAR VA O‘SIMLIK QOLDIQLARIDAN TEZKOR CHIRINDI HOSIL QILISHNING INTELLEKTUAL TIZIMI. (2026). Ekologiya Va Yer Huquqi  Environmental and Land Law, 2(1), 56-70. https://doi.org/10.68023/187pk479