Keywords
Abstract
Ushbu maqolada meva va sabzavotlarni avtomatik tarzda sifatiga qarab saralashda kompyuterli ko‘rish (computer vision) va yaqin infraqizil nurlanish (NIR – Near-Infrared) texnologiyalarini integratsiyalash orqali samaradorlikni oshirish masalasi yoritilgan. An’anaviy vizual baholash usullariga nisbatan bu yondashuv mahsulotning tashqi va ichki sifat ko‘rsatkichlarini tezkor, kontakt bo‘lmagan va ishonchli tarzda aniqlash imkonini beradi. Shuningdek, mashinali o‘rganish (ML) metodlari yordamida ushbu tizimlarni yanada optimallashtirish va amaliyotga tatbiq etish yo‘llari ko‘rib chiqadi.
References
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