Abstract
Ekinlarni sug‘orish jarayoni zamonaviy qishloq xo‘jaligida muhim rol o‘ynaydi, chunki suvni samarali boshqarish ekinlarning o‘sishi va mahsuldorligini ta’minlashga yordam beradi. Ushbu maqolada ANFIS (Adaptive Neuro-Fuzzy Inference System) yordamida ekinlarni avtomatik sug‘orish tizimi ishlab chiqildi. Tizim harorat va namlikni hisobga olgan holda ekinlarni sug‘orish rejimini boshqaradi. Fuzzy mantiq va chiziqli regressiya usullari yordamida, harorat va namlikning turli darajalarida suv sarfi bashorat qilinadi. Maqolada, tizimning ishlash prinsipi, foydalanilgan metodologiyalar va python dasturlash tilida yaratilgan loyiha tahlil qilinadi
References
1. Jang, B. (2018). "Introduction to ANFIS: A neuro-fuzzy system," Journal of Computing and Applied Informatics, 12(4), 55-67.
2. Komilova Zulxumor Xokimovna, Rustamova Xusnida Orifjon qizi. (2024) “ANFIS arxitekturasi va qat'iy mas gibrid klassifikatorlar: sun'iy intellekt sohasidagi qo‘llanilislari va imkoniyatlari”, Pedagogik islohotlar va ularning yechimlari. 391-397.
3. Smith, H. & Lee, R. (2017). "Fuzzy Logic Applications in Agriculture," Agricultural Systems Journal, 45(3), 89-102.
4. Rajashekar, S., & Kumar, M. (2019). "Automated Irrigation Using ANFIS System," International Journal of Agriculture and Technology, 11(2), 112-120.
5. A.Sriram, Niteesha Sharmau, K.S.Reddy, G.L.Anand Babu, (2019) “Automated Irrigation System For Agriculture” International Journal of Innovative Technology and Exploring Engineering., 53-56
6. https://github.com/OllaberganYuldashov/ANFIS
7. Chin, R. J., Lai, S. H., Ibrahim, S., Jaafar, W. Z. W., & Elshafie, A. (2019). ANFIS-based model for predicting actual shear rate associated with wall slip phenomenon. Soft Computing.
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