Recognition and localization methods for vision-based fruit picking robots: A review
Y Tang, M Chen, C Wang, L Luo, J Li, G Lian… - Frontiers in Plant …, 2020 - frontiersin.org
The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …
functionality, intelligence, and remote interactivity of harvesting robots in complex …
Deep learning–Method overview and review of use for fruit detection and yield estimation
A review of developments in the rapidly develo** field of deep learning is presented.
Recommendations are made for original contributions to the literature, as opposed to …
Recommendations are made for original contributions to the literature, as opposed to …
[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Machine learning testing: Survey, landscapes and horizons
This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
Faster R-CNN for multi-class fruit detection using a robotic vision system
An accurate and real-time image based multi-class fruit detection system is important for
facilitating higher level smart farm tasks such as yield map** and robotic harvesting …
facilitating higher level smart farm tasks such as yield map** and robotic harvesting …
Chils: Zero-shot image classification with hierarchical label sets
Open vocabulary models (eg CLIP) have shown strong performance on zero-shot
classification through their ability generate embeddings for each class based on their …
classification through their ability generate embeddings for each class based on their …
A review of convolutional neural network applied to fruit image processing
Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …
production is especially essential, with a great demand from all households. Therefore, the …
Emr-merging: Tuning-free high-performance model merging
The success of pretrain-finetune paradigm brings about the release of numerous model
weights. In this case, merging models finetuned on different tasks to enable a single model …
weights. In this case, merging models finetuned on different tasks to enable a single model …
Tomato fruit detection and counting in greenhouses using deep learning
Accurately detecting and counting fruits during plant growth using imaging and computer
vision is of importance not only from the point of view of reducing labor intensive manual …
vision is of importance not only from the point of view of reducing labor intensive manual …
A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …