Fruit_mssmp4 | Mobile |

: The use of Depthwise Separable Convolutional (DSC) layers to make models lightweight for mobile agricultural applications. 2. Computer Vision & Feature Extraction

While there isn't a single famous paper with the exact title "fruit_mSsmp4," that specific code is often associated with datasets and research models for using computer vision. fruit_mSsmp4

: Covers new technologies in management and postharvest quality. Fruit Research - Maximum Academic Press : The use of Depthwise Separable Convolutional (DSC)

: 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 : Covers new technologies in management and postharvest

: Using a shared CNN to simultaneously detect fruit freshness and fruit type classification .

: Focuses on basic and translational research in fruit science.

: Research on Ag-MOFs@cellulose-based composite paper which monitors fruit quality in real-time via humidity sensing and resistance data transmitted to smartphones.