Red jujube is one of the most important crops in China. In order to meet the needs of the
scientific and technological development of the jujube industry, solve the problem of poverty …

To address the issue of rapid and precise classification and recognition of winter jujube fruit
in orchards, we propose an enhanced deep convolutional neural network and an improved …

Aiming at the problems of low recognition rate, large storage space and slow detection
speed of traditional image recognition algorithms and YOLOv4 algorithm, a fruit recognition …

Winter jujube is a popular fresh fruit in China for its high vitamin C nutritional value and
delicious taste. In terms of winter jujube object detection, in machine learning research …

The automatic detection of kiwifruit in orchards is a challenging task due to the similarity
between the fruit and the complex backgrounds formed by branches and stems. Moreover …

Cucurbitaceae is widely planted and its fruits have great economic value. Object detection is
one of the key aspects of cucurbit harvesting. In this paper, four models, YOLOv3, YOLOv4 …

In order to develop an underwater sea cucumber collecting robot, it is necessary to use the
machine vision method to realize sea cucumber recognition and location. An identification …

The real-time and accurate recognition of fruits and vegetables is crucial for the intelligent
control of fruit and vegetable robots. In this research, apple picking is selected. This study …

A kiwifruit detection system for field images was developed based on the deep convolutional
neural network, which has a good robustness against the subjectivity and limitation of the …

The model of Faster-RCNN convolution neural network was used to detect Camellia fruit in
natural environment. Firstly, 3820 pairs of Camellia oleifera fruit images were labeled. Then …