Methods and devices for automatic assessment of corn

US5898792A · kind A · utility

Assignee

• Agrovision AB · SE

Inventors

• Rickard Oste · Lund, SE
• Peter Egelberg · Lund, SE
• Carsten Peterson · Lund, SE
• Eivor Svensson · Hjärup, SE
• Olle M.o slashed.nsson · Malmö, SE

Key dates

• Filing date: Nov 5, 1996
• Grant date: Apr 27, 1999
• Expiry date: Nov 5, 2016

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N21/85
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

The flour yield, protein content and bulk density of cereal kernels can be determined by producing images of the cereal kernels, at least one color parameter and/or at least one geometric parameter are determined for the cereal kernels, and input signals to a neural network are produced by means of the color parameter and/or the geometric parameter. If the neural network is trained in some suitable manner, it can determine the flour yield, protein content and bulk density on the basis of the input signals.