Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

Rapid ripeness assessment of fruit after harvest is important to reduce post-harvest losses
by sorting fruit according to the duration until they become ready to eat. However, there has …

Predicting the ripening time of avocado fruit accurately could improve fruit storage and
decrease food waste. No reasonable method exists for predicting the postharvest ripening …

Advances in optical sensing technology have led to new approaches to monitoring and
determining crop seed vigor. In order to improve crop performance to secure reliable yield …

Background Oilseed rape, as one of the most important oil crops, is an important source of
vegetable oil and protein for mankind. As a non‐essential element for plant growth, heavy …

Ripe fruit provides essential nutrients for the human body. To fulfill the needs of consumers,
the practice of artificial ripening has become more common. Artificial ripening not only …

Vegetal wastes are currently a source of pollution due to the excess of organic compounds
in the environment. Seeds are the main by-product of the avocado industry and represent 16 …

It is most desirable to have an reliable and effective nondestructive method to detect soluble
solids content (SSC) and acidity (pH) in pear fruit for fruit quality evaluation. In this study, we …

This paper aimed to combine hyperspectral imaging (378–1042 nm) and a deep
convolutional neural network (DCNN) to rapidly and non-destructively detect and predict the …

Hyperspectral imaging has proven to be a reliable technique for estimating dry matter, a
common variable when considering the quality of the fresh produce. However, developing …