Background Recent advances in signal processing technology and computational power
have increased the attention towards computer vision-based techniques in diverse …

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

Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …

The evaluation of fruit quality from the field to the table, through its storage, handling and
transport has become of paramount importance to meet production and consumers …

Aiming at the problems of difficult feature extraction and low recognition accuracy of coal
and gangue, this paper proposes a recognition method based on dielectric and geometric …

Food quality and safety are of great concern to society since it is an essential guarantee not
only for human health but also for social development, and stability. Ensuring food quality …

Effective and efficient fruit detection is considered crucial for designing automated robot
(AuRo) for yield estimation, disease control, harvesting, sorting, and grading. Several fruit …

Ripening of banana hands during handling, on board transit, shipping and storage leads to
higher post-harvest loss and impede the trade. Identification of ripening is paramount …

This paper intends to present an automated mango grading system under four stages (1) pre‐
processing,(2) feature extraction,(3) optimal feature selection and (4) classification. Initially …

In this paper, a portable 6-digital-channel NIR device was designed and implemented for
predicting the quality of Gros Michel bananas and to classify them by maturity stage. Our …