Identification of different fruits is still an important and tedious task in the food processing
industry. Workers not only have to identify the fruit but also have to make decisions to …

Classification of fruit imagery for identification and quality detection of fruits is a multidomain
task, which involves pre-processing, segmentation, feature extraction, feature selection …

As a widely consumed fruit worldwide, it is extremely important to prevent and control
disease in apple trees. In this research, we designed convolutional neural networks (CNNs) …

Fruit quality assessment, grading and sorting are of vital importance to fruit processing, and
all these involve fruit recognition. Vision-based fruit recognition can recognize fruit …

Scab, frogeye spot, and cedar rust are three common types of apple leaf diseases, and the
rapid diagnosis and accurate identification of them play an important role in the …

This work researched apple quality identification and classification from real images
containing complicated disturbance information (background was similar to the surface of …

The accurate identification of apple leaf diseases is of great significance for controlling the
spread of diseases and ensuring the healthy and stable development of the apple industry …

The purpose of this research is to propose a novel framework called “MNet: Merged Net” for
fast and accurate fruit classification, which addresses the misclassification problem …

The classification of fruits offers many useful applications in daily life, such as automated
harvesting or building up stocks for supermarkets. Studies have been proposed to classify …

HIGHLIGHTS A deep learning algorithm with an improved lightweight network was used to
identify apple fruit. Multiscale pooling was used to reduce the image size and enrich the …