Maturity Classification of Pitahaya Fruit Based on Deep Learning

Abstract

Agriculture has long been a cornerstone of human development, providing not only sus tenance but also driving economic growth and societal well-being [1]. However, the rapid rise in global consumption driven by population growth presents significant challenges for agricultural production [2]. These challenges necessitate the adoption of advanced tech nologies to enhance both production and sustainability [3]. Among these challenges, the accurate classification of fruit maturity stands out as a critical area. Proper classification enables farmers to make informed decisions about harvesting and transportation, ensuring the quality and marketability of their produce. Yellow pitahaya (Selenicereus megalan thus), a tropical and subtropical horticultural crop, has garnered significant attention due to its unique appearance, taste, and high nutritional value.