Internet of Things in agriculture: a case of Uzbekistan (case of Tashkent)

Sultonov Komil; Латипова Малика Юсуф қизи

Article · 2026

Internet of Things in agriculture: a case of Uzbekistan (case of Tashkent)

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20.1006/ty/2026/i8/93648406English

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Sultonov Komil ORCID 0000-0002-0018-0780 (opens in a new tab)
TDTU
Латипова Малика Юсуф қизиno linked profile
Toshkent shahridagi Inha universiteti

Abstract

The article examines internet of Things in agriculture: a case of Uzbekistan (case of Tashkent). A comparative analysis of international experience is provided. Practical recommendations are proposed.

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Bibliographic details

DRI: 20.1006/ty/2026/i8/93648406
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 8
Pages: 1–12
Published: 10 August 2026
Language: English
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 17:50, version 1

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References

Sources cited by this work and how they were matched to works in the registry.

13 entries7 matched1 under review5 external

1.
To’xtayeva, N. B., & Sharipova, Sh. K. (2026). Bank axborot tizimi uchun blokcheyn txnologiyasi asosida tasvirlarni segmentatsiyalash (Toshkent shahri misolida). Texnika yulduzlari, 8–15.
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Ro'ziyev, Sh. A., Kuznetsova, Y. A., Sharipov, X. J., et al. (2023). Bulutli hisoblash muhiti uchun konvolyutsion neyron tarmoq asosida nutqni tanib olish. Raqamli texnologiyalar va ta'lim, 10(1), 13–19. doi:10.52054/rtt.2023.10.1.2
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Eshmatova, M. F. (2019). O'rta asrlarda Toshkent vohasida shaharsozlik. In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 60–62). Toshkent.
Under review
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Yo'ldoshev, M. H. (2012). Assessment of export potential in the textile industry: evidence from Uzbekistan. Toshkent. DRI: 20.1017/diss/d2012/91057893
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Anderson R., Chen Y., Tanaka H. (2025). Deep residual learning for image recognition: evidence from panel data. Applied Linguistics, 104, 523–968. https://doi.org/10.1093/applin.2025.310331
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Mamatov U.M. Tibbiy axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari // TATU ilmiy-uslubiy jurnali. – 2020. – №1. – B. 1–9. – DRI 20.1003/tatuilm/2020/v7_i1/95978718
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Ro'ziyev A.E., Zokirova I.G'. Sut emizuvchilariga metallarning ta'siri // O'zbekiston biologiya jurnali. – 2012. – №10. – B. 19–23.
MatchedFuzzy match, S = 1.00
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Müller K., Silva R., Tanaka H. (1998). A meta-analysis of active learning in STEM education: evidence from panel data. Sustainability, 120, 427–970. https://doi.org/10.3390/su.1998.699072
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Yunusov, A. X., & Sultonov, K. M. (2021). Application of deep learning for image segmentation. Texnika yulduzlari, 1–12.
MatchedFuzzy match, S = 1.00
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Nguyen T., Tanaka H. (2006). Economic growth and institutional quality in transition economies revisited. World Development, 77, 593–984.
External source

Citing works

Works in the registry that cite this work, newest first.

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When other works in the registry cite this work, they will appear here.

[1] 1.
To’xtayeva, N. B., & Sharipova, Sh. K. (2026). Bank axborot tizimi uchun blokcheyn txnologiyasi asosida tasvirlarni segmentatsiyalash (Toshkent shahri misolida). Texnika yulduzlari, 8–15.
MatchedFuzzy match, S = 1.00→ Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash (Toshkent shahri misolida)

[2] 2.
Смирнов Д.В. Применение интернета вещей в туризма. – М.: Наука, 2021. – 262 с.
External source

[3] 3.
Камолова Г.С. ИНТЕРНЕТ ОФ ТҲИНГС ИН ТҲЕ БАНКИНГ А САСЕ // Рақамли технологиялар ва таълим. – 2017. – №2. – Б. 1–5.
External source

[4] 4.
Normatova U.M., Xolmatov Sh.F., Haydarov B.Y., va boshq. Transport sohasida katta ma'lumotlarni qo'llash // TATU ilmiy-uslubiy jurnali. – 2019. – №2. – B. 6–14.
MatchedFuzzy match, S = 1.00

[5] 5.
Ro'ziyev, Sh. A., Kuznetsova, Y. A., Sharipov, X. J., et al. (2023). Bulutli hisoblash muhiti uchun konvolyutsion neyron tarmoq asosida nutqni tanib olish. Raqamli texnologiyalar va ta'lim, 10(1), 13–19. doi:10.52054/rtt.2023.10.1.2
MatchedExact by DOI

[6] 6.
Eshmatova, M. F. (2019). O'rta asrlarda Toshkent vohasida shaharsozlik. In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 60–62). Toshkent.
Under review

[7] 7.
Yo'ldoshev, M. H. (2012). Assessment of export potential in the textile industry: evidence from Uzbekistan. Toshkent. DRI: 20.1017/diss/d2012/91057893
MatchedExact by DRI

[8] 8.
Anderson R., Chen Y., Tanaka H. (2025). Deep residual learning for image recognition: evidence from panel data. Applied Linguistics, 104, 523–968. https://doi.org/10.1093/applin.2025.310331
External source

[9] 9.
Mamatov U.M. Tibbiy axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari // TATU ilmiy-uslubiy jurnali. – 2020. – №1. – B. 1–9. – DRI 20.1003/tatuilm/2020/v7_i1/95978718
MatchedExact by DRI

[10] 10.
Ro'ziyev A.E., Zokirova I.G'. Sut emizuvchilariga metallarning ta'siri // O'zbekiston biologiya jurnali. – 2012. – №10. – B. 19–23.
MatchedFuzzy match, S = 1.00

[11] 11.
Müller K., Silva R., Tanaka H. (1998). A meta-analysis of active learning in STEM education: evidence from panel data. Sustainability, 120, 427–970. https://doi.org/10.3390/su.1998.699072
External source

[12] 12.
Yunusov, A. X., & Sultonov, K. M. (2021). Application of deep learning for image segmentation. Texnika yulduzlari, 1–12.
MatchedFuzzy match, S = 1.00

[13] 13.
Nguyen T., Tanaka H. (2006). Economic growth and institutional quality in transition economies revisited. World Development, 77, 593–984.
External source