Global food systems confront the urgent challenge of supplying sustainable, nutritious diets
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …

Crop disease recognition plays a crucial role in agricultural production. However, disease
images are large in scale and have a lot of redundant information, which reduces the …

Accurate recognition of the canopy is a prerequisite for precision orchard yield estimation.
This paper proposed an enhanced LA-dpv3+ approach for the recognition of cherry …

Consumer behaviors and habits in food choices impact their physical health and have
implications for climate change and global warming. Efficient food image recognition can …

In agricultural technology, precise fruit classification is essential yet challenging due to
inherent interclass similarities and intra-class variabilities among fruit species. Despite their …

Crop diseases severely affect crop yield and quality, and accurate identification of crop
diseases is crucial for disease management. Although deep neural networks have made …

As a prominent topic in food computing, cross-modal recipe retrieval has garnered
substantial attention. However, the semantic alignment across food images and recipes …

A coal gangue image recognition method based on complex conditions is proposed to
address the current issue of image-based coal gangue recognition being greatly affected by …