Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …

The state of ripeness at harvest is a key piece of information for growers as it determines the
market price of the yield. This has been traditionally assessed by destructive chemical …

As a key functional trait, leaf photosynthetic pigment content (LPPC) plays an important role
in the health status monitoring and yield estimation of apples. Hyperspectral features …

When assessing fruit ripeness, multispectral sensors offer a cheaper alternative to high-
resolution spectroscopy. Additionally, they provide a more robust solution to environmental …

To achieve the non-destructive detection of peanut defects, a multi-target identification
method based on the multispectral system and improved Faster RCNN is proposed in this …

Consumers are increasingly asking for products with better organoleptic characteristics,
flavors, aromas, colors, attractiveness, etc. Farmers must estimate, with maximum precision …

Objectives Food quality assessment is critical for indicating the shelf-life and ensuring food
safety or value. Due to high environmental sensitivity, the post-harvest quality of fresh fruit …

This study presents a preliminary evaluation of a low-cost multispectral device for the non-
destructive assessment of olive fruits' fat content. The developed device integrates a …

The state of ripeness at harvest is a key piece of information for growers as it determines the
market price of the yield. This has been traditionally assessed by destructive chemical …

Olive oil is a highly appreciated food product due to its outstanding nutritional profile.
Because of the huge current and expected increasing demand, the olive sector is …