Fruit Freshness categorization is crucial in the agriculture industry. A system, which precisely
assess the fruits' freshness, is required to save labor costs related to tossing out rotten fruits …

Fruit freshness grading is an innate ability of humans. However, there was not much work
focusing on creating a fruit grading system based on digital images in deep learning. The …

The nutritional value of perishable food items, such as fruits and vegetables, depends on
their freshness levels. The existing approaches solve a binary class problem by classifying a …

Application of artificial intelligence methods in agriculture is gaining research attention with
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …

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 …

Automatic freshness classification of fruits and veg-etables is an active area of research in
the modern era. In order to maintain and preserve the grade quality of the fruits, the need to …

Convolutional neural networks (CNNs) play a significant role in a number of computer vision
applications like image classification and object detection. Past studies have focused on the …

Automatic classification of food freshness plays a significant role in the food industry. Food
spoilage detection from production to consumption stages needs to be performed minutely …

Automated categorization of freshness of fruits plays pivotal role in the agricultural industry.
In conventional method, the grading of fruit is assessed by human being. This method is …

Accurate recognition of food items along with quality assessment is of paramount
importance in the agricultural industry. Such automated systems can speed up the wheel of …