CHORVA FERMALARINI RAQAMLASHTIRISH IMKONIYATLARI VA AFZALLIKLARI

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Safarova L.U., Primova X.A., Turg'unova N.M. Jalilova M.M.
DOI: 10.5281/zenodo.18661446
Cited by: 0

Abstract

Ushbu tezisda qoramol holatini baholashda qo‘llaniladigan matematik usullar tahlil qilinadi. Xususan, statistik metodlar, matematik modellashtirish va sun’iy intellektga asoslangan algoritmlar orqali fiziologik, zooteхnik hamda etologik ko‘rsatkichlar baholashning ilmiy asoslari ko‘rib chiqiladi. Shuningdek, chorvachilikda monitoring, kasalliklarni erta aniqlash va ishlab chiqarish samaradorligini oshirishda matematik yondashuvlarning afzalliklari tahliliy ravishda yoritilgan.

Fields of Study & Subjects

Smart Agriculture and AI Livestock Farming and Management Animal Nutrition and Health

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
UZ