The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

As one of the representative algorithms of deep learning, a convolutional neural network
(CNN) with the advantage of local perception and parameter sharing has been rapidly …

Highlights•A method for rapid and accurate apple fruitlet detection before fruit thinning is
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …

In a densely planted orchard, factors such as light variation, branch occlusion, and fruit in
non-picking rows had a great impact on the pitaya detection accuracy. In this study, a new …

Pattern classification has always been essential in computer vision. Transformer paradigm
having attention mechanism with global receptive field in computer vision improves the …

Soybean yield is a highly complex trait determined by multiple factors such as genotype,
environment, and their interactions. The earlier the prediction during the growing season the …

Ground vehicles equipped with vision-based perception systems can provide a rich source
of information for precision agriculture tasks in orchards, including fruit detection and …

Ship target segmentation in infrared scenes has always been a hot topic, since it is an
important basis and prerequisite for infrared-guided weapons to reliably capture and …

Infrared ship target segmentation is one of the key technologies for automatically detecting
ship targets in ocean monitoring. However, it is a challenging work to achieve accurate …