Herbarium specimens are excellent sources of botanical information to facilitate
understanding and monitoring the evolution of plants and their effects on global climate …

Automatic measurement of functional trait data from digitized herbarium specimen images is
of great interest as traditionally, scientists extract such information manually, which is time …

Preventing and managing plant leaf diseases requires a dependable and precise detection
method. Detecting leaf diseases in plants is a time-consuming process that has a negative …

In order to monitor the early growth status of clam seedlings and meet the demands of
precision seedling cultivation in a factory setting, this study improves the YOLOv5s model …

Premise The generation of morphological data in evolutionary, taxonomic, and ecological
studies of plants using herbarium material has traditionally been a labor‐intensive task …

Accurate and timely information on the number of densely-planted Chinese fir seedlings is
essential for their scientific cultivation and intelligent management. However, in the later …

Detecting objects in digital images is challenging in computer vision, traditionally requiring
manual threshold selection. However, object detection has improved significantly with …

Detecting plant leaf diseases accurately and promptly is essential for reducing economic
consequences and maximizing crop yield. However, farmers' dependence on conventional …

Wild desert grasslands are characterized by diverse habitats, uneven plant distribution,
similarities among plant class, and the presence of plant shadows. However, the existing …

Weeds can decrease yields and the quality of crops. Detection, localisation, and
classification of weeds in crops are crucial for developing efficient weed control and …