Synopsis
Adulteration can be defined as “the process by which the quality or the nature of a given substance is reduced through the addition of a foreign or an inferior substance”. The most obvious and simplest reason for adulteration is to increase profit. Food adulteration can be defined as the inclusion of constituents in food items, whose presence is prohibited by regulation, custom and practice or “making impure by adding inferior, alien or less desirable materials or elements.” The adulteration of spices can have serious implications. In most instances of adulteration, spices are adulterated with material that is not highly toxic or carcinogenic, and therefore it does not present a significant, immediate public health risk. Adulteration in food, oil and fuel cannot be identified manually. So the customers and consumers are easily cheated. To overcome all these human impacts on adulteration and defect identification, automated equipment with good accuracy and speed is needed. The objective of this Book is to detect the adulteration in food using Digital Image Processing (DIP) Techniques and Very Large Scale Integration (VLSI) Technology, to make the consumers aware of the adulterati
"synopsis" may belong to another edition of this title.
Search results for An Introduction to VLSI based Food Adulteration Identificati...
Seller Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adulteration can be defined as 'the process by which the quality or the nature of a given substance is reduced through the addition of a foreign or an inferior substance'. The most obvious and simplest reason for adulteration is to increase profit. Food adulteration can be defined as the inclusion of constituents in food items, whose presence is prohibited by regulation, custom and practice or 'making impure by adding inferior, alien or less desirable materials or elements.' The adulteration of spices can have serious implications. In most instances of adulteration, spices are adulterated with material that is not highly toxic or carcinogenic, and therefore it does not present a significant, immediate public health risk. Adulteration in food, oil and fuel cannot be identified manually. So the customers and consumers are easily cheated. To overcome all these human impacts on adulteration and defect identification, automated equipment with good accuracy and speed is needed. The objective of this Book is to detect the adulteration in food using Digital Image Processing (DIP) Techniques and Very Large Scale Integration (VLSI) Technology, to make the consumers aware of the adulterati 64 pp. Englisch. Seller Inventory # 9786139949809
Stock Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Seller Inventory # zk6139949807
Buy New
£ 56.83
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gnanaraj RajakumarDr.G.Rajakumar, Professor and Associate HoD in the Department of Electronics and Communication Engineering in Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India.Dr.R.Ravi, Professor in the Department . Seller Inventory # 385878734
Buy New
£ 30.44
£ 42.28 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adulteration can be defined as 'the process by which the quality or the nature of a given substance is reduced through the addition of a foreign or an inferior substance'. The most obvious and simplest reason for adulteration is to increase profit. Food adulteration can be defined as the inclusion of constituents in food items, whose presence is prohibited by regulation, custom and practice or 'making impure by adding inferior, alien or less desirable materials or elements.' The adulteration of spices can have serious implications. In most instances of adulteration, spices are adulterated with material that is not highly toxic or carcinogenic, and therefore it does not present a significant, immediate public health risk. Adulteration in food, oil and fuel cannot be identified manually. So the customers and consumers are easily cheated. To overcome all these human impacts on adulteration and defect identification, automated equipment with good accuracy and speed is needed. The objective of this Book is to detect the adulteration in food using Digital Image Processing (DIP) Techniques and Very Large Scale Integration (VLSI) Technology, to make the consumers aware of the adulteratiVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9786139949809
Seller Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adulteration can be defined as 'the process by which the quality or the nature of a given substance is reduced through the addition of a foreign or an inferior substance'. The most obvious and simplest reason for adulteration is to increase profit. Food adulteration can be defined as the inclusion of constituents in food items, whose presence is prohibited by regulation, custom and practice or 'making impure by adding inferior, alien or less desirable materials or elements.' The adulteration of spices can have serious implications. In most instances of adulteration, spices are adulterated with material that is not highly toxic or carcinogenic, and therefore it does not present a significant, immediate public health risk. Adulteration in food, oil and fuel cannot be identified manually. So the customers and consumers are easily cheated. To overcome all these human impacts on adulteration and defect identification, automated equipment with good accuracy and speed is needed. The objective of this Book is to detect the adulteration in food using Digital Image Processing (DIP) Techniques and Very Large Scale Integration (VLSI) Technology, to make the consumers aware of the adulterati. Seller Inventory # 9786139949809
Seller Image
An Introduction to VLSI based Food Adulteration Identification System
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139949807
ISBN 13: 9786139949809
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. An Introduction to VLSI based Food Adulteration Identification System | Rajakumar Gnanaraj (u. a.) | Taschenbuch | 64 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139949809 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 115094360