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

Among grain-producing species, soybean is one of the most important commodities, with
increasing demand for production in coming years. Evaluation of soybean seed quality is …

Viability is a significant indicator of rice seeds, affecting rice yield and quality. Existing
viability determination methods cannot meet the requirements of rapidity, non-destructive …

Viability and vigor of rice seeds are related to the yield. The existing seed viability and vigor
detection methods cannot meet the demand for precise planting, and a method that can …

Optical sensors combined with machine learning algorithms have led to significant
advances in seed science. These advances have facilitated the development of robust …

In recent years, deep learning models have been widely used in the field of hyperspectral
imaging. However, the training of deep learning models requires not only a large number of …

Convolutional neural network (CNN) can be used to quickly identify crop seed varieties.
1200 seeds of ten soybean varieties were selected, hyperspectral images of both the front …

Rice is the staple food for approximately half of the world's population. Seed vigour has a
crucial impact on the yield, which can be evaluated by germination rate, vigor index and etc …

Pepper is one of the most important vegetable crops grown worldwide, and pepper fruits are
consumed as vegetables and spices. Seed quality is an important factor in the production of …

Monitoring and maintaining the freshness of meat is important to ensuring a supply of meat
that is safe for consumption. The objective of this study is to present a shortwave infrared …