In order to improve the efficiency and reduce high cost for seedlings sorting in the raising
process of hydroponic lettuce seedlings, we propose an automatic detection method for …

Most recent transformer-based models show impressive performance on vision tasks, even
better than Convolution Neural Networks (CNN). In this work, we present a novel, flexible, …

Plant phenotype plays an important role in genetics, botany, and agronomy, while the currently
popular methods for phenotypic trait measurement have some limitations in aspects of …

This paper presents a method to extract color and texture features of an image quickly for
content-based image retrieval (CBIR). First, HSV color space is quantified rationally. Color …

Deep learning techniques can automatically learn features from a large number of image data
set. Automatic vegetable image classification is the base of many applications. This paper …

For both pigs in commercial farms and biological experimental pigs at breeding bases,
mounting behaviour is likely to cause damage such as epidermal wounds, lameness and …

Background— More than 90% of Duchenne muscular dystrophy (DMD) patients develop
cardiomyopathy, and many die of cardiac failure. Despite tremendous progress in skeletal …

The shared energy storage service provided by independent energy storage operators (IESO)
has a wide range of application prospects, but when faced with the interrelated and …

Synchronization strategies of a three-dimensional chaotic finance system are investigated
in this paper. Based on Lyapunov stability theory and Routh-Hurwitz criteria, some effective …

CNN's limited receptive field restricts its ability to capture long-range spatial-temporal
dependencies, leading to unsatisfactory performance in video super-resolution. To tackle this …