Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

Convolutional neural networks have recently experienced successful development in the
field of computer vision. In precision agriculture, apple picking robots use computer vision …

The detection and sizing of fruits with computer vision methods is of interest because it
provides relevant information to improve the management of orchard farming. However, the …

Developments in the field of artificial intelligence have made great strides in the field of
automatic semantic segmentation, both in the 2D (image) and 3D spaces. Within the context …

Detecting and estimating size of apples during the early stages of growth is crucial for
predicting yield, pest management, and making informed decisions related to crop-load …

In recent years, a growing interest in the 3D digitisation of museum assets has been pushed
by the evident advantages of digital copies in supporting and advancing the knowledge …

In recent years, massive digitisation of cultural heritage (CH) assets has become a focus of
European programmes and initiatives. Among CH settings, attention is reserved to the …

In situ automatic fruit monitoring is of great interest for more accurate and cost-efficient
decision making in agriculture. For this purpose, the development of computer vision-based …

Precise photogrammetric mapping of preharvest conditions in an apple orchard can help
determine the exact position and volume of single apple fruits. This can help estimate …