Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …

Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great.
As a result, tea is very popular and has become the second most popular beverage in the …

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 …

Famous tea industry which need to harvest tea buds has great economic benefits. However,
the harvesting is time-consuming and labor-intensive, especially with the shortage of labor …

The critical issue of the robotic harvesting high-quality tea is to realize tea shoot detection,
plucking point localization, and motion planning. In addition, the accuracy and efficiency of …

Introduction Accurate grading identification of tea buds is a prerequisite for automated tea-
picking based on machine vision system. However, current target detection algorithms face …

Accurate and rapid detection of tea shoots within the tea canopy is essential for achieving
the automatic picking of famous tea. The current detection models suffer from two main …

Corn seed materials of different quality were imaged, and a method for defect detection was
developed based on a watershed algorithm combined with a two-pathway convolutional …

Achieving high-efficiency and accurate detection of tea shoots in fields is essential for tea
robotic plucking. A real-time tea shoot detection method using the channel and layer pruned …

The segmentation of crop images is the most sought-after technology in the field of computer
vision and pattern recognition. The multilevel thresholding (MLT) of crop images is a tedious …