In general, most of the existing convolutional neural network (CNN)-based deep-learning
models suffer from spatial-information loss and inadequate feature-representation issues …

Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …

Rapid and accurate detection of Camellia oleifera fruit is beneficial to improve the picking
efficiency. However, detection faces new challenges because of the complex field …

One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …

Considering the high requirements of current kiwifruit picking recognition systems for mobile
devices, including the small number of available features for image targets and small-scale …

The increasing broiler demand due to overpopulation and meat imports presents challenges
in poultry farming, including management, disease control, and chicken observation in …

Fruit and vegetable inspection aids robotic harvesting in modern agricultural production. For
rapid and accurate detection of fresh shiitake mushrooms, picking robots must overcome the …

We propose a lightweight neural network-based method to detect the estrus behavior of
ewes. Our suggested method is mainly proposed to solve the problem of not being able to …

Accurate ground truth annotation plays a vital role in training and evaluating deep learning
models for forest and non-forest classification tasks. This paper introduces a robust …

Semantic networks are graphical representations, in terms of nodes and edges, of words
and phrases from the linguistics vocabulary to form a meaning and relation between them to …