BEGONA O‘TLAR VA ZARARKUNANDALARGA QARSHI KURASHDA ROBOTOTEXNIKA

BEGONA O‘TLAR VA ZARARKUNANDALARGA QARSHI KURASHDA ROBOTOTEXNIKA

Authors

  • Sanjar Ravshanov
  • Aziza Otoboyeva
  • Yoqub Usanov

DOI:

https://doi.org/10.5281/zenodo.15762741

Keywords:

qishloq xo‘jaligi robototexnikasi, begona o‘tlarga qarshi kurash, zararkunandalarni boshqarish, qishloq xo‘jaligida AI, aniq dehqonchilik, dronlar yordamida dehqonchilik, barqaror qishloq xo‘jaligi texnologiyalari

Abstract

Qishloq xo‘jaligida begona o‘tlar va zararkunandalarga qarshi kurashga robototexnikani joriy etish barqaror,
samarali va aniq dehqonchilik amaliyotiga o‘tishdagi inqilobiy o‘zgarishni anglatadi. Ushbu maqola begona o‘tlar va
zararkunandalarni boshqarishda robot texnologiyalarining hozirgi holati va kelajakdagi salohiyatini o‘rganadi, ushbu
sohani ilgari surayotgan afzalliklar, cheklovlar va innovatsiyalarni tahlil qiladi. Amaliy qo‘llanmalar va ilmiy tadqiqotlar
yo‘nalishlarini ko‘rsatish uchun misollar keltirilib, robototexnika qanday qilib kimyoviy moddalar iste'molini, mehnatga
bo‘lgan ehtiyojni va atrof-muhitga ta'sirni kamaytirishi mumkinligi yoritiladi

Author Biographies

Sanjar Ravshanov


Samarqand davlat veterinariya meditsinasi, chorvachilik va biotexnologiyalar universiteti,
“Axborot texnologiyalari, tabiiy va aniq fanlar” kafedrasi o‘qituvchisi

Aziza Otoboyeva


Samarqand davlat veterinariya meditsinasi, chorvachilik va biotexnologiyalar universiteti,
“Axborot texnologiyalari, tabiiy va aniq fanlar” kafedrasi o‘qituvchisi

Yoqub Usanov


Samarqand iqtisodiyot va servis instituti akademik litseyi o‘qituvchisi

References

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Pedersen, H. T., Nielsen, H., & Jørgensen, R. N. (2006). Vision-based weed detection with a neural network classifier.

Agricultural Engineering International: CIGR Journal, 8.

Kamilaris, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers

and Electronics in Agriculture, 143, 23–37.

Fennimore, S. A., et al. (2016). Technology for automation of weed control in specialty crops. Weed Technology, 30(4),

–837.

Lottes, P., et al. (2017). Fully convolutional networks with sequential information for robust crop and weed detection in

precision farming. IEEE Robotics and Automation Letters, 3(4), 2870–2877.

https://brill.com/edcollchap/book/9789086866038/BP000003.xml

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Published

2025-04-01

How to Cite

Ravshanov , S., Otoboyeva , A., & Usanov, Y. (2025). BEGONA O‘TLAR VA ZARARKUNANDALARGA QARSHI KURASHDA ROBOTOTEXNIKA. GREEN ECONOMY AND DEVELOPMENT, 3. https://doi.org/10.5281/zenodo.15762741

Issue

Vol. 3 (2025): Konferensiya. 5-maxsus son

Section

Articles

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Copyright (c) 2025 YASHIL IQTISODIYOT VA TARAQQIYOT

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