The latest advances in technology have made it easier to accurately assess the quality of fresh produce, reducing the amount of physical handling required. Computed tomography (CT) is a non-intrusive method that can effectively monitor and categorize fresh produce at different stages of development and maturity. Implementing novel CT scanning techniques can provide innovative means for classifying fresh produce in the early stages of development. The present work provides information for the calculation of the volume and the porosity of the haskap during its ontology. Samples of haskap were taken at four stages of growth prior to harvest and at the time of harvest. Image data were acquired using X-ray microcomputed tomography (SkyScan 1272, Bruker, Billerica, MA, USA) at a resolution of 19.69 μm per pixel, operating at 60 kV and 166 μA, using a 0.25 mm aluminum filter. The resultant data was exported to the BMP file format. BMP files were then processed using Avizo 3.0 (Thermo Fisher Scientific, Waltham, Massachusetts, USA). Automated thresholding using factorization in criteria was applied to the 8-bit images. Subsequently, the images were labeled and an axis connectivity of 26 neighborhoods was established. Finally, a measurement was derived using the volume fraction tool. The results showed that the porosity at stage 3 was 26.56%. It then decreased to 7.52% in the 4th stage and reached a peak of 13.45% during the harvesting stage. These results may have implications for commercial cultivation strategies and optimization of pre- and post-harvest practices and add to the existing understanding of Haskap growth and development.
