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 …

The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

Deep learning-based visual object detection is a fundamental aspect of computer vision.
These models not only locate and classify multiple objects within an image, but they also …

Training machine learning (ML) models for artificial intelligence (AI) and computer vision-
based object detection process typically requires large, labeled datasets, a process often …

Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …

Traditionally, sweet orange crop forecasting has involved manually counting fruits from
numerous trees, which is a labor-intensive process. Automatic fruit counting systems, based …

Precise positioning of fruit and picking point is crucial for harvesting table grapes using
automated picking robots in an unstructured agricultural environment. Most studies employ …

This study presents an approach to address the challenges of recognizing the maturity stage
and counting sweet peppers of varying colors (green, yellow, orange, and red) within …

A sustainable yield prediction in agricultural fields is a very critical task that aims to help
farmers have an idea about agricultural operations. Generally, we can find a variety of …

With the advancement of computer vision technology, the demand for fruit recognition in
agricultural automation is increasing. To improve the accuracy and efficiency of recognizing …