The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Cereals provide humans with essential nutrients, and its quality assessment has attracted
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …

Today's globalized and highly competitive world market has broadened the spectrum of
requirements in all the sectors of the agri-food industry. This paper focuses on the dairy …

A deep-learning architecture based on Convolutional Neural Networks (CNN) and a cost-
effective computer vision module were used to detect defective apples on a four-line fruit …

In order to solve the problems of high subjectivity, frequent error occurrence and easy
damage of traditional corn seed identification methods, this paper combines deep learning …

Over the past decades, imaging and spectroscopy techniques have been developed rapidly
with widespread applications in non-destructive agro-food quality determination. Seeds are …

The development of non-destructive methodologies based on Hyperspectral Imaging (HSI),
Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques to …

Purpose This study aims to blockchain facilitate information sharing among different players
in the food industry, such as farmers, food suppliers and investors, enabling an effective …

The aged seeds have a significant influence on seed vigor and corn growth. Therefore, it is
vital for the planting industry to identify aged seeds. In this study, hyperspectral reflectance …

Seed pelleting is an advanced technology that can improve seed sowing and germination
under abiotic stresses such as drought, promoting sustainable agriculture. However, the …