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 …

Remote sensing sensors-based image processing techniques have been widely applied in
non-destructive quality inspection systems of agricultural crops. Image processing and …

This paper explores five multivariate techniques for information fusion on sorting the visual
ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant …

Artificial scent screening systems, inspired by the mammalian olfactory system, hold promise
for fruit ripeness detection, but their commercialization is limited by low sensitivity or pattern …

The use of machine learning techniques to automate the sorting of Cape gooseberry fruits
according to their visual ripeness has been reported to provide accurate classification …

The gifts from nature always help those who are suffering from the sweltering heat and
glaring sunlight. Watermelon is one of the summer's most wanted fruits, but we fail to judge …

This study aims to evaluate the characteristics and quality of Kwini mango fruit using non-
destructive capacitive sensing methods. Unlike other fruits, identifying ripe Kwini mangoes …