Background The process of quality evaluation is a challenging concern in food industries to
ensure the maximum level of food safety in relation to consumer preference. Growing …

Background Fruit and vegetable (F&V) harvested from plants trigger a series of stress-
related physiological processes, potentially resulting in quality deterioration and …

Fruit classification is an important task in many industrial applications. A fruit classification
system may be used to help a supermarket cashier identify the fruit species and prices. It …

Fruit category identification is important in factories, supermarkets, and other fields. Current
computer vision systems used handcrafted features, and did not get good results. In this …

Termites are the most destructive pests and their attacks significantly impact the quality of
wooden buildings. Due to their cryptic behavior, it is rarely apparent from visual observation …

Image recognition supports several applications, for instance, facial recognition, image
classification, and achieving accurate fruit and vegetable classification is very important in …

In this work, a deep feature mining method for electronic nose (E-nose) sensor data based
on the convolutional neural network (CNN) was proposed in combination with a support …

Excessive pesticide residues are a serious problem faced by food regulatory authorities,
suppliers, and consumers. To assist with this challenge, this work aimed to develop a …

Automated fruit image classification is a challenging problem. The study presented (in this
paper) analyzes the effectiveness of transfer learning and fine tuning in improving …

To improve the accuracy of automatic recognition and classification of vegetables, this paper
presents a method of recognition and classification of vegetable image based on deep …