The ripeness of bananas is the most significant factor affecting nutrient composition and
demand. Conventionally, cutting and ripeness analysis requires expert knowledge and …

This document provides an overview of advances in the task of automatic feature detection
and classification of fruits, with and special interest in watermelon (Citrillus lanatus). The …

The escalating demand for palm oil necessitates enhanced production strategies. As the
trend shifts towards automated harvesting to meet the demand, precise ripeness …

Banana (Musa spp.) is an extensively favored fruit owing to its affordability and considerable
nutritional richness. Ensuring the quality of bananas is essential for meeting consumer …

Efficiently managing supply chains, reducing food waste, and ensuring product quality in
consumer goods relies significantly on the precise grading of banana maturity. This task is …

The classification of dragon fruit maturity directly by farmers has weaknesses because it is
influenced by the subjective factors of these farmers such as fatigue and other physical …

The conventional process of visual detection and manual harvesting of the banana bunch
has been a known problem faced by the agricultural industry. It is a laborious activity …

Digital images have been widely used for computer vision systems of ripe bananas.
Consumers or industrial companies need computer vision-based applications to determine …

Produksi pisang di Indonesia pada tahun 2022 mencapai 9, 6 juta ton buah. Metode
konvensional yang digunakan untuk menentukan tingkat kematangan pisang masih …

Fruits are the prerequisite authority of nutrition. Consuming fresh fruits on a daily basis is
good for health. Fruits are the consequential provenance of income for farmers. Harvesting …