Advances in Food Engineering Technologies for Fungi
Perspectives on Edible Mushrooms and Fungal Biotechnology in Modern Food Production Systems, Bentham Science Publ, ss.264-280, 2026
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2026
- Doi Numarası: 10.2174/9798898814052126010013
- Yayınevi: Bentham Science Publ
- Sayfa Sayıları: ss.264-280
- Anahtar Kelimeler: Artificial intelligence, Automation, Computer vision, Decision support, Digital crop life cycle, Environmental variability, Fungal cultivation, Image analysis, Imaging techniques, Machine learning, Precision agriculture, Sustainability, Targeted treatment
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
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 ensuring optimal use of agricultural resources. Additionally, innovations in fungal processing and storage technologies are discussed, along with the potential changes that these technologies may create in agricultural processes.