Add to ORKGSummary: The paper presented demonstrates the application of an information technology for food products grading. The food products have a varified shape and nonhomogenious structure because of which the grading of big production lots has been connected with a number of problems. The solution of these problems is possible only by utilization of contemporary information technologies, neural networks and creating quicklyfunctioning automatic devices
Artificial neural networks are a family of non-linear Computational methods, loosely inspired by the...
The increasing use of modern information technology in agriculture involves an ever wider range of p...
The quality of food products is very important for the human health. The large population and the in...
Image processing in the context of Computer vision, is one of the renowned topic of computer science...
accep ine 5 Learning techniques have been applied increasingly for food quality evaluation using com...
The aim of this study work presented in the article was to determine the quality of selected food pr...
Machine learning is a learning field that gives computers the ability to learn without explicitly pr...
The quality of food grains is referred to the every aspect of the profit of supply and marketing. Th...
In this paper, we introduce a new approach in food processing using an artificial intelligence. The ...
This paper describes the potentials of the application of modern soft computing techniques into deve...
Currently, there is a necessity for the expansion of precise, rapid, and intentional quality assuran...
The Carrying out effective and sustainable agriculture product has become an important issue in rece...
The objective of this project is to develop a system that helps the food industry to classify fruits...
This study presents the design of an intelligent system based on deep learning for grading fruits. F...
An artificial neural network (ANN) integrated computerized inspection system (CIS) was developed to ...
Artificial neural networks are a family of non-linear Computational methods, loosely inspired by the...
The increasing use of modern information technology in agriculture involves an ever wider range of p...
The quality of food products is very important for the human health. The large population and the in...
Image processing in the context of Computer vision, is one of the renowned topic of computer science...
accep ine 5 Learning techniques have been applied increasingly for food quality evaluation using com...
The aim of this study work presented in the article was to determine the quality of selected food pr...
Machine learning is a learning field that gives computers the ability to learn without explicitly pr...
The quality of food grains is referred to the every aspect of the profit of supply and marketing. Th...
In this paper, we introduce a new approach in food processing using an artificial intelligence. The ...
This paper describes the potentials of the application of modern soft computing techniques into deve...
Currently, there is a necessity for the expansion of precise, rapid, and intentional quality assuran...
The Carrying out effective and sustainable agriculture product has become an important issue in rece...
The objective of this project is to develop a system that helps the food industry to classify fruits...
This study presents the design of an intelligent system based on deep learning for grading fruits. F...
An artificial neural network (ANN) integrated computerized inspection system (CIS) was developed to ...
Artificial neural networks are a family of non-linear Computational methods, loosely inspired by the...
The increasing use of modern information technology in agriculture involves an ever wider range of p...
The quality of food products is very important for the human health. The large population and the in...