The demand for high-quality tomatoes to meet consumer and market standards, combined
with large-scale production, has necessitated the development of an inline quality grading …

ABSTRACT Explainable Artificial Intelligence is a recent research direction that aims to
explain the results of the Deep learning model. However, many recent research need to go …

Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …

Automatic classification of fruit freshness plays an important role in the agriculture industry.
In this work, we propose an ensemble model that combines the bottleneck features of two …

Fruit is one of the most popular products in the market. Automatic and accurate classification
of fruit can bring great convenience to fruit sellers. However, there are great similarities …

Explainable Artificial Intelligence is a recent research direction that aims to explain the
results of the Deep learning model. However, many recent research need to go into depth in …

In this paper, we utilize the concept of transfer learning in fruits and vegetable quality
assessment. The transfer learning concept applies the idea of reuse the pre-trained …

Cherries are spring fruits enriched with nutrients and sweetness, which are widely popular
among consumers all over the world. Cherry appearance characteristic is an important …

Mosaic, Rust, Brown spot, and Alternaria leaf spot are the four common types of apple leaf
diseases. Early diagnosis and accurate identification of apple leaf diseases can control the …

Objectives: To employ a deep learning technique that would sort the fruits into normal and
abnormal based on the features such as fruit colour, number of fruit spots, and shape of the …