No abstract

Fruit size, dimensions and its geometrical attributes are important physical properties of agricultural produce. More specifically, the estimation of mean fruit size is needed in meeting quality standards, increasing market value, monitoring fruit growth, predicting yields and assessing optimal levels of fertilization and irrigation, as well as the design and development of sizing mechanisms. In this study, tangerine volume was measured using image processing technique. The actual volume of tangerine was obtained by water displacement method. In image processing method, we used two CCD cameras that were situated at right angle to each other in order to give us two perpendicular images of tangerines. By removing the background and dividing the image into a number of distinct sectors, we were able to calculate the surface area and volume of each sector. The volume of fruit was then obtained by adding up the volume of all sectors. Fifty tangerines in three replications were examined to determine the accuracy of the algorithm. The volume obtained from image processing was compared to the actual volume determined by the water displacement method using the t-test. The obtained result was not significantly different from the actual volume (P > 0.05). In conclusion, image processing technique provides a simple and efficient methodology for estimating tangerine volume.

No abstract

No abstract

No abstract