The ability to meet the demand for healthy dried grains by consumers is a great motivation
for industrial grain processors to ensure grain quality retention during the drying process …

The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …

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 …

Hyperspectral imaging offers manifold opportunities for applications that may not or only
partially be achieved within the visual spectrum. Our paper presents a novel approach for …

Introduction In agriculture, especially wheat cultivation, farmers often use multi-variety
planting strategies to reduce monoculture-related harvest risks. However, the subtle …

This paper presents a novel sound event detection (SED) system for rare events occurring in
an open environment. Wavelet multiresolution analysis (MRA) is used to decompose the …

A number of coating techniques have been used to improve the processability of high
explosives. These techniques are typically used for developing compositions, such as …

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 …

In the last few years, significant progress has been made on the application of artificial
intelligence (AI) within a variety of domains, especially when used as autonomous decision …

In the seed-producing industry, accurate assessment of harvested seeds for technical purity
is a necessary, yet timeconsuming and labor-intensive task. Automating this task holds …