With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Background Recent advances in signal processing technology and computational power
have increased the attention towards computer vision-based techniques in diverse …

A deep-learning architecture based on Convolutional Neural Networks (CNN) and a cost-
effective computer vision module were used to detect defective apples on a four-line fruit …

Image processing and artificial intelligence (AI) techniques have been applied to analyze,
evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A …

Recent advancements in computer vision have provided opportunities for new applications
in agriculture. Accurate yield estimation of fruit and vegetable crops is very important for …

Highlights•An improved Mask R–CNN model processed by U-Net method.•Realising
instance segmentation of apple flowers in three different growth stages.•Combining growth …

This article reviews the research and development progress of mechanical harvest
technologies for fresh market apples over the past decades with a focus on the predominant …

This study proposes an automatic apple sorting and quality inspection system, which is
based on real-time processing. Golden and Starking Delicious, and Granny Smith apple …

For the purpose of monitoring apple fruits effectively throughout the entire growth period in
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …

At present, the apple grading system usually conveys apples by a belt or rollers. This usually
leads to low hardness or expensive fruits being bruised, resulting in economic losses. In …