The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

Ceramic tiles are widely used in the construction field. In actual production, the difficulty in
extracting texture ceramic tile features and the small size of defects lead to low detection …

High-resolution representations (HR) are essential for dense prediction tasks such as
segmentation, detection, and pose estimation. Learning HR representations is typically …

Ship detection plays a crucial role in a variety of military and civilian marine inspection
applications. Infrared images are irreplaceable data sources for ship detection due to their …

The smart farm is currently a hot topic in the agricultural industry. Due to the complex field
environment, the intelligent monitoring model applicable to this environment requires high …

This paper proposes an improved lightweight YOLOv5 model for the real-time detection of
strawberry diseases. The ghost convolution (GhostConv) module is incorporated into the …

Current state-of-the-art approaches for Semi-supervised Video Object Segmentation (Semi-
VOS) propagates information from previous frames to generate segmentation mask for the …

Accurate counting of fish is a fundamental task of fish farming and crucial for density
regulation, bait planning, and economic benefit evaluation. However, computational …

The real-time target detection of crop pests can help detect and control pests in time. In this
study, we built a lightweight agricultural pest identification method based on modified …

Aiming at the problem of accurately locating and identifying multi-scale and differently
shaped apple leaf diseases from a complex background in natural scenes, this study …