Extended food supply chain traceability with multiple automatic identification and data collection technologies.

Hu, Yong.Thesis submitted in: October 2007.Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.Includes bibliographical references (p. 127-129).Abstracts in English and Chinese.Chapter Chapter 1. --- Introduction --- p.1Chapter 1.1. --- Background and Motivation --- p.1Chapter 1.2. --- Objectives of the Thesis --- p.3Chapter 1.3. --- Scope of the Thesis --- p.6Chapter 1.4. --- Structure of the Thesis --- p.6Chapter Chapter 2. --- Review of Related Technologies --- p.8Chapter 2.1. --- Scope and Requirements of the Supply Chain Traceability --- p.9Chapter 2.2. --- Automatic Identification and Data Collection Technologies --- p.14Chapter 2.2.1. --- Introduction to the AIDC Technologies --- p.14Chapter 2.2.1.1. --- The Barcode --- p.14Chapter 2.2.1.2. --- The Radio Frequency Identification (RFID) --- p.17Chapter 2.2.1.3. --- The Sensors for Food --- p.19Chapter 2.2.1.4. --- The Global Positioning System (GPS) --- p.23Chapter 2.2.2. --- Frequencies of the RFID Systems --- p.25Chapter 2.2.3. --- Encoding Mechanisms for the RFID Tags and Barcode Labels --- p.30Chapter 2.3. --- Standards and Specifications of the EPCglobal --- p.34Chapter 2.3.1. --- The EPCglobal Architecture Framework --- p.34Chapter 2.3.2. --- The EPCglobal EPCIS Specification --- p.39Chapter 2.3.3. --- The EPCglobal Tag Data Standards --- p.42Chapter 2.4. --- RFID Applications in Food Supply Chain Management --- p.43Chapter 2.5. --- Anti-counterfeit Technologies and Solutions --- p.45Chapter 2.6. --- Data Compression Algorithms --- p.47Chapter 2.7. --- Shelf Life Prediction Models --- p.49Chapter Chapter 3. --- Architecture and Scope of the Application System --- p.54Chapter 3.1. --- Application System Architecture --- p.54Chapter 3.2. --- Application System Scope --- p.55Chapter Chapter 4. --- The Tracking and Tracing Management Module --- p.60Chapter 4.1. --- Overview --- p.60Chapter 4.2. --- AIDC Technologies Adopted for the Traceable Items --- p.62Chapter 4.3. --- Mechanism to Achieve the Nested Visibility --- p.70Chapter 4.4. --- Information Integration in the EPCIS --- p.75Chapter 4.5. --- Anti-counterfeit Mechanism --- p.82Chapter Chapter 5. --- The Storage and Transportation Monitoring Module --- p.90Chapter 5.1. --- Overview --- p.90Chapter 5.2. --- Compression of the Sensor Data --- p.93Chapter 5.3. --- Management of the Sensor Data --- p.95Chapter 5.4. --- Responsive Warning Mechanism --- p.102Chapter Chapter 6. --- The Sensor Networks Enabled Assessment Module --- p.108Chapter 6.1. --- Overview --- p.108Chapter 6.2. --- Management of the Sensor Network Data --- p.110Chapter 6.3. --- Active Warning Mechanism --- p.114Chapter Chapter 7. --- Conclusions --- p.122Chapter 7.1. --- Contributions --- p.122Chapter 7.2. --- Future Work --- p.12

Specification, design and evaluation of an automated agrochemical traceability system

Traceability through all the stakeholders in food production is an issue of increasing importance, being specifically required by the regulations for food safety and quality (EC 178/2002), and for compliance with environmental protection. The agricultural market perceives a need for systems and technologies to automate the currently manual process of producing records of agrochemical inputs loaded into a spraying machine. A novel prototype Automated Agrochemical Traceability System (AACTS) to identify and weigh agrochemicals as they are loaded into crop sprayer has been designed, constructed, fitted to a machine and evaluated with commercial operators. The functional blocks of the system are a 13.56 MHz RFID reader, 1.4 litre self cleaning weighing funnel mounted on a 3 kg load cell, a user interface with a screen and three user command buttons (Yes, No, Back), and a progress bar made of 8 coloured LED’s (green, amber, red). The system is able to trace individual agrochemical containers, associate the product identity with national agrochemical databases, quantify the required amount of product, assist the sprayer operator and control workflow, generate records of sprayer inputs and interoperate with (recommending extensions to) task management standards as set out in ISO 11783-10. The evaluation of the quantity weighing has demonstrated that with such a system, the principal noise component is in the range of 33–83 Hz, induced by the operating tractor engine. A combined 3 Hz low pass digital filter with a second stage rolling mean of 5 values improves performance to allow a practical resolution of 1 gram (engine switched off) to 3.6 grams (sprayer fully operational) with a response appropriate to suit human reaction time. This is a significant improvement over the ±10 grams of the work of Watts (2004). An experiment with 10 sprayer operators has proved that in the majority of cases (92%) an accuracy equal or better than ±5% is achieved regardless of dispensing speed. The dispensed amounts (100.36% of target) and recorded (100.16%) are in accordance with prescribed values (100%; LSD(5%) 2.166%), where amounts dispensed by manual methods (92.61%) differ significantly from prescribed and recorded value (100%). The AACTS delivers a statistically similar work rate (211.8 s/task) as manual method (201.3 s/task; Δt = 10.5 s/task; LSD(5%) 28.2 s/task) in combined loading and recording cycle. Considering only the loading time (181.2 s/task) of manual method, the difference is 30.6 s/task (LSD(5%) 30.1 s/task). In practice this difference is believed to be marginal compared to the time required to load the water, random external events during the spraying session and in time moving, checking and storing paper records. The integrated weighing funnel concept is another significant improvement over previous work. Using this system, the mean duration of measuring per container for all tasks (34.0 s) is approximately half the time (68.5 s) achieved by Watts (2004). The AACTS was rated to be safer than the manual method regarding operator health and safety and risk of spillage. All operators who evaluated the AACTS were interested in purchasing such a system. The work confirmed that an RFID system was an appropriate media for agrochemical identification performing more than 250 product identification operations during operator tests without failure, with a speed of operation <1 s per cycle and reading distance of 100 mm. A specific format for RFID tag data is proposed for adoption, using low cost tags, that combines item level traceability with identification of products independently without access to worldwide databases. The AACTS follows ISO 11783 task management logic where a job is defined in a prepared electronic task file. It is proposed to extend the ISO 11783-10 task file to integrate the records provided by AACTS by handling the tank loads as individual products resulting from loading task and allocating them to spraying tasks. It is recommended to produce a production prototype following the design methodology, analysis techniques and performance drivers presented in this work and develop the features of user interface and records of tank content into software for ISO 11783-10 cabin task controller to deliver business benefits to the farming industry. The results with RFID encourage the adoption of RFID labelling of agrochemical containers. The reader may wish to read this thesis in parallel with Gasparin (2009) who has considered the business and industry adoption aspects of the AACTS.EThOS - Electronic Theses Online ServiceGBUnited Kingdo