Shooting-posture recognition is an important area in basketball technical movement
recognition domain. This paper proposes the squeeze convolutional gated attention (SCGA) …

Plant diseases are a major concern in the agricultural sector; accordingly, it is very important
to identify them automatically. In this study, we propose an improved deep learning-based …

Monitoring biodiversity is paramount to manage and protect natural resources. Collecting
images of organisms over large temporal or spatial scales is a promising practice to monitor …

Develoment of image recognition AI algorithms for flower-visiting arthropods has the
potential to revolutionize the way we monitor pollinators. Ecologists need light-weight …

Simple Summary Understanding diel variations in ground-dwelling invertebrates is an
important issue for agricultural ecology, which has been extensively studied at the …

Monitoring biodiversity is paramount to manage and protect natural resources. Collecting
images of organisms over large temporal or spatial scales is a promising practice to monitor …

In this study, we have compared YOLOv4, a single-shot detector to Faster-RCNN, a two-shot
detector to detect and classify whiteflies on yellow-sticky tape (YST). An IoT remote whitefly …

In this work, we propose a ladybird beetle detector based on a deep learning classifier and
the weighted Hausdorff distance as a loss function. The detector was trained and validated …

This work compares five different distance metrics (ie, Euclidean, Chebyshev, Manhattan,
Mahalanobis, and Canberra) implemented in the weighted Hausdorff distance (WHD) as …

Habitat and morphometric information can be used as factors to differentiate species,
primarily for species that are habitat Specific. Using the above concept a predictive model …