Advances in Food Engineering Technologies for Fungi

Abstract

Food engineering technologies that enable progress in fungal cultivation are critically important for increasing accuracy and optimizing efficiency in agricultural processes. Especially in fungal production, precise automation and Artificial Intelligence (AI) applications that go beyond the limits of classical agricultural techniques aim to make these processes more reliable and sustainable. This study examines the role of automation and precision agriculture applications in fungal cultivation, presenting digital solutions that can replace traditional methods. Data obtained using AI and Machine Learning (ML) play a critical role in early diagnosis of fungal diseases and prediction of nutrient deficiencies. ML and computer vision techniques are effectively used in assessing plant health and