Artificial intelligence is more present than ever in virtually all sectors of society. This is in
large part due to the development of increasingly powerful deep learning models capable of …

The recognition of pig cough sounds is an effective way to monitor pig respiratory diseases
which seriously affect healthy pig breeding. Due to the complexity of the pig-housing …

In aquaculture, accurate detection of fish feeding intensity is a critical step for establishing an
on-demand feeding system. In this paper, a novel fish feeding intensity detection method …

This work proposes a novel hierarchical classification framework designed to categorize
hundred Indian medicinal plant species. The innovation lies in introducing a comprehensive …

Highlights•A high-accuracy approach of plant genotype classification is
proposed.•Genotypes were classified by simultaneously considering spatiotemporal …

Wood-boring pests (WBPs) are among the most destructive pests to trees, yet their presence
is difficult to detect due to their concealed lifestyles. Audio signals generated through the …

Although computer vision technology has demonstrated significant efficiency in rapidly
identifying soybean phenotypic traits, traditional methods still effective in accurately …

Fine-grained visual recognition is a highly challenging problem due to the subtle differences
among subcategories. In this paper, we focus on variety recognition, a more challenging fine …

Accurate and rapid identification of tea plant cultivars in field conditions contributes
significantly to improve the refined and intelligent production in tea plantations. However, the …

Fine-grained leaf image retrieval (FGLIR) is a new and challenging issue that has not yet
well-studied in the research community of content-based image retrieval (CBIR). It focuses …