In this paper, an analysis of convolutional neural network (CNN) models to classify the
quality of dried chili pepper is described. The classifier models can determine the categories …

Introduction: the agricultural sector in Peru has witnessed a notable increase in the
production of oranges, which has promoted the essential use of convolutional neural …

Artificial intelligence has propelled transformative advances across industries, particularly in
the realm of food quality control, where automation, precise predictions, and informed …

Homogeneity of appearance attributes of bell peppers is essential for consumers and food
industries. This research aimed to develop an in‐line sorting system using a deep …

Introduction: The agricultural sector in Peru has witnessed a notable increase in the
production of oranges, which has promoted the essential use of convolutional neural …

Selecting a desired level of quality in a product is crucial—for instance, in dried chili peppers
(Capsicum annuum L.). However, classifying dried chili peppers is a time-consuming …

Chilli peppers (Capsicum annuum) are potential commodities in Indonesia that have
relatively high economic value. Sorting and grading of chilli peppers after harvesting is very …

Grading and quality assessment of fruits is an important post-harvest management tool to
define the appropriate use of the harvested fruit and reasonable pricing. In this work, the …

India is among the leading producers of fresh fruits and vegetables in the world. Out of the
total production, a significant portion is wasted annually due to multiple issues resulting from …

A reliable and efficient automated fruit grading process is needed to meet the market's
increased demand for good quality fruits. Automated systems based on image processing …