For the most current studies on this topic, you can browse specialized journals such as:
: Combining color, texture, and shape features to improve recognition performance. fruit_mSsmp4
: Implementing systems like YOLOv8 for real-time detection on edge devices and Contrastive Language-Image Pre-Training (CLIP) for zero-shot fruit quality classification. 3. Smart Monitoring Technologies For the most current studies on this topic,
A primary paper related to this topic is "Fruit freshness detection based on multi-task convolutional neural network," which discusses: fruit_mSsmp4
Research in this area often focuses on identifying internal quality from external features. Notable methods include: