Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …

Abstract" Digital" agriculture is rapidly affecting the value of agricultural output. Robotic
picking of the ripe agricultural product enables accurate and rapid picking, making …

Automated pineapple harvesting has emerged as a prominent prospective development
within the agricultural domain. Nevertheless, the intricate growth conditions that pineapples …

Fruit loading and packaging are still labor-intensive tasks during postharvest
commercialization, of which the key issues is to realize the real-time detection and …

In aquaculture, the real-time detection and monitoring of feed pellet consumption is an
important basis for formulating scientific feeding strategies that can effectively reduce feed …

Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR)
contributes beneficial information, including directions and alerts for advanced driver …

For the operation and visual positioning of a banana robot, it is important to accurately
position the rachis and cut off point. However, the main factors that affect the three …

Convolutional Neural Networks (CNN) achieves perfection in traffic sign identification with
enough annotated training data. The dataset determines the quality of the complete visual …

Traffic sign detection and recognition perform a vital function in real-world driver guidance
applications, including driver assistance systems. Research into vision-based traffic sign …