Carrot Volume Evaluation using Imaging Algorithms

✍ Scribed by F. Hahn; S. Sanchez

• Book ID: 102575194
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 216 KB
• Volume: 75
• Category: Article
• ISSN: 0021-8634
• DOI: 10.1006/jaer.1999.0466

✦ Synopsis

Volume represents an important parameter in the evaluation of fruit growth and quality, and can be used as a ripeness index to forecast optimum harvest time. The "rst prototype towards a fruit volume detector on trees was developed by rotating a charge coupled device (CCD) camera around the produce. The prototype helped to implement new algorithms for predicting the volume of non-regular shaped fruits easier than by conventional methods. It was tested with carrots, due to their non-circular shape and a 0)98 regression coe$cient between real and predicted volume was achieved with two di!erent algorithms. 2000 Silsoe Research Institute Notation A P , A P , A P slice area, pixels A B area di!erence, pixels d , d orthonormal diameter, pixels d G , d G , compensated diameters h G height, pixels m number of "nite element triangles n number of parallel disks r radius, pixels < real volume in cm < B slice volume, pixels < D frontal slice volume, pixels < P rear slice volume, pixels x centre-surface distance, pixels angle, deg