This presentation represents the new way of analyzing food quality using modern technology of image processing. Problem statement: Many problems of food quality and safety have occurred in recent years. The quality analysis of the food items has thus become increasingly important. The system tries to provide the customer with highly improved and good quality of food using the modern technology of image processing and also the GPS technology for tracking food transportation. This would provide an improved way for quality analysis reducing manual efforts and error.

2. Table of content
1. Problem definition
2. Introduction
3. Literature survey
4. Existing System
5. Proposed System
6. System design
7. Hardware and Software requirements
8. Scope
9. Limitation
10. Conclusion
11. Reference

3. Problem Definition
Many problems of food quality and safety have occurred in
recent years. The quality analysis of the food items has thus
become increasingly important. The system tries to provide
the customer with highly improved and good quality of food
using the modern technology of image processing and also
the GPS technology for tracking food transportation. This
would provide an improved way for quality analysis
reducing manual efforts and error.

4. INTRODUCTION
Now-a-days quality is the most important factor for
agricultural and food products because high quality
products are significant for success in today’s highly
competitive market.
The quality of a product especially fruits is often classified
by their texture, shape and color. These features are
usually observed using human vision for determining the
ripeness of fruits. However, the method of human grading
is tedious and may be erroneous.

5. LITERATURE SURVEY
The history of early man shows that, people obtained food
substances through hunting, gathering, and agriculture.
The assurance and protection of food quality has always
been important to man.
The utilization of technological, physical, chemical,
microbiological, nutritional and sensory parameters to
achieve the wholesome food became the area of focus.

6. EXISTING SYSTEM
 Ion mobility spectrometry (IMS) or differential mobility
spectrometry (DMS)
 Electronic-nose
 Biosensors
 X-ray

7. PROPOSED SYSTEM
The Farm to Plate: Food Quality Analysis tries to use
the modern technology of image processing and the
image analysis technique to discriminate the quality of
food classes and varieties.

8. PROPOSED SYSTEM
The system goes through the following phases of
implementation:-
 Tracking phase
 Image capturing phase
 Image analyzing phase
 User phase

9. SYSTEM DESIGN

10. 1. TRACKING PHASE
The vehicle carrying the fruits will be monitored with the
help of GPS module
2. IMAGE CAPTURING PHASE
The food item is scanned to enable processing.

11. 3. IMAGE PROCESSING PHASE

12. 4. USER PHASE
Once the quality is determined it will be posted on the
website to inform the customers about the food items
available with their quality.

13. HARDWARE REQUIREMENTS
 Arduino Uno Microcontroller.
 GPS Module
 Receivers
 Antennas
 Cameras
 GB RAM
 20 GB HDD

14. SOFTWARE REQUIREMENTS
 Arduino IDE (Integrated Development Environment).
 Microsoft SQL server.
 Programming language used- C#
 Internet Browser (Google Chrome version 40 and above, Mozilla
Firefox version 35 and above, Internet Explorer version 8 above).
 Language(PHP and MySQL)

15. SCOPE
Our system will replace the manual effort for analyzing the
quality of the food items in new and improved way using
modern technology of image processing for quality analysis.
This would increase customer satisfaction and reduce the
loss faced by organization.

16. LIMITATION
At present restricted to a particular food item that is
fruit.

17. CONCLUSION
 The accuracy of the quality for the food items can effectively
be done by using the image processing techniques.
 With this software we can calculate the accuracy and classify
accordingly.
 This is also more accurate than the human visual inspection.
All this leads to better quality in food analyzing by image
processing.

18. REFERENCES
[1]Jagdeep Singh Aulakh, V. K. Banga. Percentage Purity of Rice Samples by Image
Processing. International Conference on Trends in Electrical, Electronics and Power
Engineering (ICTEEP'2012).
[2] Food Quality Control: History, Present and Future: “Scientific, Health and Social
Aspects of the Food Industry” February 2012 DOI: 10.5772/33151.
[3] Automation of food processing: FOOD ENGINEERING – Vol. IV -Automation of
Food Processing - Gunasekaran, S. Department of Biological Systems Engineering,
University of Wisconsin-Madison, USA
[4] SAMIR DANI:”FOOD SUPPLY CHAIN MANAGEMENT AND LOGISTICS”.
[5] Shelf-Life Estimation of Perishable Fruits in Cold Storage using Image Processing
Techniques: Volume 5, Issue 4, April 2015 : 2277 128X International Journal of
Advanced Research in Computer Science and Software Engineering