The efficient identification of the field flat jujube is the first condition to realize its automated
picking. Consequently, a lightweight algorithm of target identification based on improved …

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 …

Rapid and accurate detection of tender tea buds in the natural tea garden environment is the
basis for intelligent tea picking. However, complex models result in high hardware …

A fast and lightweight detection algorithm is presented to improve the recognition rate and
shorten the detection time of passion fruit pest detection. Based on the traditional YOLOv5 …

A tomato automatic detection method based on an improved YOLOv8s model is proposed to
address the low automation level in tomato harvesting in agriculture. The proposed method …

At present, there are two main problems with fruit-and vegetable-picking robots. One is that
complex scenes (with backlighting, direct sunlight, overlapping fruit and branches, blocking …

The problems of stem and leaf shading, fruit overlapping, and different ripening stages pose
a great challenge to picking robots, which are usual for the ground-planted strawberries in …

Highlights A series of strategies including feature concatenation, tweaks of ResNet50, and
modification of the default anchors with the chaos optimization-based k-means algorithm …

The real-time detection of banana bunches and stalks in banana orchards is a key
technology in the application of agricultural robots. The complex conditions of the orchard …

Accurate detection of lotus seedpods in a nature environment is essential for agronomic
applications for automated harvesting and yield mapping. Traditional detection methods are …