This paper presents the development of an on-line surface defect system using
hyperspectral images for jujubes. A push-broom hyperspectral system was built for …

Quality analyses of oil from olive fruit are performed according to regulated procedures and
in accredited laboratories that are usually separated from the oil mill. These analytics …

(1) Background: Extra virgin olive oil production is strictly influenced by the quality of fruits.
The optical selection allows for obtaining high quality oils starting from batches with different …

Olive fruits at different ripening stages give rise to various table olive products and oil
qualities. Therefore, developing an efficient method for recognizing and sorting olive fruits …

The study of the phenolic compounds present in olive leaves (Olea europaea) is of great
interest due to their health benefits. In this research, different machine learning algorithms …

Integrating deep learning for crop monitoring presents opportunities and challenges,
particularly in object detection under varying environmental conditions. This study …

The highest quality of extra virgin olive oil must be guaranteed to succeed in the competitive
market of the industry. To fulfil this need, high standards of fruit quality are required. In recent …

The production of 'Premium'olive oil depends in large part on the quality of the fruit. Small
producers see themselves confronted with vast investments and logistic snags when they …

This paper provides a zero defect manufacturing (ZDM) approach designed for the virgin
olive oil (VOO) industry, with the objective of producing the best possible product using …

Abstract Understanding Machine Learning results for the quality assessment of olive oil is
hard for non-ML experts or olive oil producers. This paper introduces an approach for …