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 trichome trait is one of the important phenotypes for variety classification and breeding
improvement of Chinese cabbage (Brassica campestris L. syn. B. rapa). However, obtaining …

In this study, we propose a high-throughput and low-cost automatic detection method based
on deep learning to replace the inefficient manual counting of rapeseed siliques. First, a …

In order to rapidly breed high-quality varieties, an increasing number of plant researchers
have identified the functions of a large number of genes, but there is a serious lack of …

Weeds affect crop yield and quality due to competition for resources. In order to reduce the
risk of yield losses due to weeds, herbicides or non-chemical measures are applied. Weeds …

Introduction Soybean pod count is one of the crucial indicators of soybean yield.
Nevertheless, due to the challenges associated with counting pods, such as crowded and …

In rice cultivation and breeding, obtaining accurate information on the quantity and spatial
distribution of rice plants is crucial. However, traditional field sampling methods can only …

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

Soybeans are a critical source of food, protein and oil, and thus have received extensive
research aimed at enhancing their yield, refining cultivation practices, and advancing …

Soybean is a critical source of food, protein, and oil, and thus has received extensive
research aimed at enhancing their yield, refining cultivation practices, and advancing …