With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

This manuscript presents a comprehensive survey on recent computer vision based food
grain classification techniques. It includes state-of-the-art approaches intended for different …

The phenomena of rice adulteration and shoddy rice arise continuously in high-quality rice
and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) …

BACKGROUND A simplified computer vision‐based application using artificial neural
network (ANN) depending on multilayer perceptron (MLP) for accurately classifying wheat …

Seed purity is an important indicator of crop seed quality. On the other side, corn is an
important crop of the modern agricultural industry with more than 40% grain Worldwide …

Pumpkin seeds are frequently consumed as confection worldwide because of their
adequate amount of protein, fat, carbohydrate, and mineral contents. This study was carried …

Seeds are of great importance to agricultural and industrial production. As such, rapid and
non-destructive detection methods must be developed for the industry and consumers to …