Image analysis application to determine variations in shape, size and color of biological structures: Determination of changes in size and color of the fruit of Solanum sp. in the process of maturation

Abstract

In nature occur complex processes phenomena that are difficult to quantify and analyze quickly by humans. Processes that require the application of computational methods to streamline and automate processing events that occur consistently, in this sense, the application of computer vision methods in different fields as biology, medicine, agriculture and others.The paper presents the analysis of images using computer vision techniques applied to study the variation of size and color variation in fruit ripening. The images reveal that changes occur in shades of color during the ripening period, variations of the colors that go from green to yellow. The analyzes show that the fruits rapidly lost in the early days the size and lose their green color after being separated from the plant. The loss of size is a situation that should demand attention from producers and marketers of fruit because it involves the loss of size weight loss. In understanding the results takes into account the principles and physiological maturation process. The study was performed with fruit ripening Lulo, Solanum sp; the track size variation is performed for 25 days doing image capture every 15 minutes 24 hours.

Xylanase activity and T2 (MRI) relationship during lulo la selva P32 ripening process

“…For other lulo varieties, at temperatures of 20 °C, full yellow color is achieved by the day 15 th in Solanum sp. (Burbano & Daza 2012), while for the Solanum Quitoense Lam is observed on days 24 (Rodríguez & Restrepo 2011) and 27 (Cortés 2006). These differences between fruits may possibly be due to their origin, to the moment when the fruits were harvested for starting the investigation, to possible genetic improvements made in the varieties of lulo, as well as to weather conditions both pre-harvest and post-harvest.…”

Does this fruit look appetizing? Psychometric modeling of fruit consumption preferences

“…The human eye can detect the ripening process because, during this process, fruits lose water, decreasing weight and size (Burbano and Daza, 2012;Luo et al, 2020). The loss of lipids is what explains the loss of water.…”