Over the last decades, parallel to technological development, there has been a great
increase in the use of visual inspection systems. These systems have been widely …

A great number of fruits are grown around the world, each of which has various types. The
factors that determine the type of fruit are the external appearance features such as color …

This paper reviews developments since 2000 in the application of machine vision to food
and agriculture. The subject involves applying radiation of various wavelengths to materials …

The characteristics of wear debris particles are valuable information sources for machine
condition monitoring. A possible approach is to apply ferrography with computer vision …

Thousand kernel weight (TKW) is an important parameter for the evaluation of grain yield.
The traditional measurement method relies on manual steps: weighing and counting. In this …

The development of non-destructive methods for the evaluation of cereal grain varieties has
important implications for the food processing industry. The described experiment …

The ability to segment and count of touching hybrid rice grains can enable the automatic
evaluation of seeding performance. In this paper, an algorithm that separates and counts …

Light, the energy source for crop photosynthesis, is a key factor for plant growth. The present
study proposes a decision-making model of light environment control. The photosynthesis …

An algorithm to separate touching grain kernels using an elliptic Fourier series
approximation, based on boundary curvature values, is presented. The Fourier …

A novel algorithm based on watershed and concavities is proposed to segment the clustered
slender-particles, such as the clustered rice kernels. First, the distance and watershed …