Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

The current review examines the state of knowledge and research on machine learning (ML)
applications in horticultural production and the potential for predicting fresh produce losses …

Wheat is known to be one of the most important agricultural crops throughout the world. Due
to its mass storage in warehouses, tonnes of wheat grains rotten every year that eventually …

Peanuts are prone to insect damage, breakage, germination, mildew, and other defects,
which makes the quality of peanuts uneven. The difference in peanut pod quality makes the …

This paper presents a computational approach for quantifying soybean defects through seed
classification using deep learning techniques. To differentiate between good and defective …

In this study, hyperspectral imaging technology combined with a novel convolution neural
network was utilized to detect wheat kernels adulteration. Two groups of wheat kernels were …

Proper grain storage plays a critical role in maintaining food quality. Among a variety of
grains, wheat has emerged as one of the most important grain reserves globally due to its …

The current review examines the state of knowledge and research on machine learning (ML)
applications in horticultural production and the potential for predicting fresh produce losses …

India is the second-largest food producer globally, trailing only in China. However,
significant agricultural losses occur because of the lack of skilled laborers. Harvested …

Elapsed time on arrival: a simple and versatile primitive for canonical time synchronisation
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