This is the first-ever study conducted to standardize the maturity stage of olive fruit for development of olive murabba. Olive fruit was harvested at three different maturity stages including lemon green, semi-ripened and fully ripened stages for postharvest processing. Most prominent quality parameters of the product were studied for all maturity stages. Olive productprepared from semi-ripene...

According to the result of this study, there was a significant increase in the amount of sugars including rhamnose, glucose and mannose from October for Abbot and Hayward and from August for Allison until harvesting time (late November). During one month of post harvesting time, the fruits showed no significant changes in sugar concentration except for the Hayward that showed a significant incr...

Efficient locating the fruit on the tree is one of the major requirements for the fruit harvesting system. In this paper, automatic segmentation and yield calculation of fruit based on shape analysis is presented. Color and shape analysis was utilized to segment the images of different fruits like apple, pomegranate, oranges, peach, litchi and plum obtained under different lighting conditions. ...

Storage of freshly harvested fruit is a key factor in modulating their supply for several months after harvest; however, their quality can be reduced by pathogen attack. Fruit pathogens may infect their host through damaged surfaces, such as mechanical injuries occurring during growing, harvesting, and packing, leading to increased colonization as the fruit ripens. Of particular concern are fun...

This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it is a key element for fruit yield estimation and automated harvesting. Recent work in deep neural networks has led to the development of a state-of-t...

Please cite this article in press as: Barnea, E., Engineering (2016), http://dx.doi.org/10.1016/ Most agricultural robots, fruit harvesting systems in particular, use computer vision to detect their fruit targets. Exploiting the uniqueness of fruit colour amidst the foliage, almost all of these computer vision systems rely on colour features to identify the fruit in the image. However, often th...

The present study was carried out to find the effect of fruit harvesting stage (October, November and December) on the physicochemical and antioxidant properties in five kiwi cultivars (Abbot, Bruno, Allison, Hayward, Monty). Results showed that soluble solid content (SSC) and pH increased while ascorbic acid (Vit C), titrated acidity (TAD) and SSC/TAD decreased in all the cultivars with delay ...

The majority of the antioxidant and antidiabetic activities of fruits are anthocyanins; a group of polyphenolics that are responsible for the color of many fruits, vegetables and flowers. The harvesting time, storage conditions, maturity, extraction steps etc. are very important for the biological activities based on the alteration of chemical composition. The free radical scavenging and antidi...

Cherry is a hand-harvested fruit due to various difficulties and constraints. This condition results in the use of labor at high rate. Turkey's annual cherry production level 724 thousand tons. Various tools or machines that have been developed for harvest potential contribute greatly this area. The share required harvesting total requirement around 70%. In research, it was aimed collect necess...

Harvest maturity is closely related to peach fruit quality and has a very important effect on the fresh fruit market. Unfortunately, at present, it is difficult to determine the maturity level of peach fruits by artificial methods. The objectives of this study were to develop quadratic polynomial regression models using near-infrared spectroscopy that could determine the peel color difference, ...