Report Information
Participants
Daniel Guyer (guyer@msu.edu) - Michigan State Univ. ;
Gary Hyde (gmhyde@wsu.edu) - Washington State Univ. ;
Yang Tao (ytao@wam.umd.edu) - Univ. of Maryland ;
Mark Mount (mount@fnr.umass.edu) - Administrative Advisor;
Loren Gautz (lgautz@hawaii.edu) - Univ. of Hawaii;
Roger Rohrbach ( rohrbach@eos.ncsu.edu) - North Carolina St. Univ;
Yong Hang (ydh1@cornell.edu) Cornell Univ. - Geneva;
Joseph Irudayraj ( josephi@psu.edu) - Penn. State Univ.;
Renfu Lu (lur@msu.edu) - USDA/ARS at E. Lansing;
Stan Prussia (sprussia@bae.uga.edu) - Univ. of Georgia ;
Darrell Donahue (Darrell_Donahue@umit.maine.edu) - Univ. of Maine;
David Slaughter (dcslaughter@ucdavis.edu) - Univ. California - Davis ;
Guests:
Andre Baritelle (aab030@email.mot.com) - Motorola;
Arturo Correa - Univ. of Hawaii;
Brief Summary of Minutes
Accomplishments
Accomplishments and impacts of participants of the NE-179 project, "eTechnology and Principles for<br />
<br>Assessing and Retaining Post Harvest Quality of Fruits and Vegetables"e, fall within six important areas<br />
<br>of focus. Evaluation of internal defects/characteristics/composition has received major emphasis while<br />
<br>the area of concepts and applications for sensing food safety has gained significant momentum. Other<br />
<br>areas involve external characteristics evaluation, internal chemistry as quality indicator, storage and<br />
<br>handling, and methodology of data/sensor information analysis.<br />
<br><br />
<br>For each of these areas, the primary intended outcome is to develop new and unique concepts and<br />
<br>technology to sense characteristics of fruits and vegetables and to move this technology to commercial<br />
<br>application. More specifically, to sense, and ultimately sort for the quality and safety assurance<br />
<br>demanded by the marketplace. The overall intended and potential impact is to increase efficiency,<br />
<br>security, sustainability, and profitability of the fruit and vegetable industry through such application.<br />
<br>Presently, many quality characteristics are evaluated by manual sorting, by off-line laboratory tests or<br />
<br>examination, or simply are not evaluated. A goal of this project is to develop systems where quality<br />
<br>characteristics can be measured on each individual fruit or vegetable on a packing or processing line.<br />
<br>Thus, moving from statistical sampling or no evaluation, to a more absolute evaluation and assurance<br />
<br>through 100% evaluation.<br />
<br><br />
<br>Technologies of x-ray, near infrared (NIR), multispectral transmittance, optical density, and magnetic<br />
<br>resonance are being studied to assess watercore and internal browning of apples, maturity of blueberries,<br />
<br>bacterial invasion in onions, sugar content in several commodities, and composition of honey and oils.<br />
<br>The ability to detect and assess important quality characteristics that are not detectable by manual sorting<br />
<br>(humans) represents the uniqueness and specific impact related to these studies. Research continues on<br />
<br>nondestructive evaluation of fruit firmness. This is needed to replace the Magnus Taylor method that is<br />
<br>both variable and costly due to the destruction of the large quantity of fruit sampled. Such development<br />
<br>could eliminate the destructive losses and also may have the potential to sort each individual commodity<br />
<br>on the line as opposed to relying on a sampling. The firmness methods studied are based on very accurate<br />
<br>sensing of small forces and deformations.<br />
<br><br />
<br>Technologies of multispectral and hyperspectral imaging are being studied for external defect detection<br />
<br>and quantification on apples and cherries. While external defect sorting can be accomplished with human<br />
<br>sorters, an automated electro-optic non-destructive system can impact the fruit and vegetable industry by<br />
<br>bringing increased speed, accuracy, and consistency to the sorting process.<br />
<br><br />
<br>For many of the commodities and concepts, studies for both internal and external quality sensing are<br />
<br>recognizing the need for specific orientation of each unit to increase accuracy of the system. Participants<br />
<br>of the project are addressing this need with studies on a orienting fruit for consistent presentation of each<br />
<br>unit to the sensing system.<br />
<br><br />
<br>Stakeholders continue to indicate quality sensing are high priorities for their specific commodity<br />
<br>industries considering the worldwide competitiveness and diverse alternatives in the marketplace. Cost<br />
<br>and regulation on labor also heighten the priority for automated sensing.<br />
<br><br />
<br>Experimentation with humidity control technology for optimizing storage environments for specific<br />
<br>commodities is under study. For these studies the stakeholder is the home consumer and the impact<br />
<br>would be optimizing shelf life and convenience for individual commodities in the home or small<br />
<br>storages. This addresses the issue, and fact, that most consumers have a significant portion of their<br />
<br>purchased fruits and vegetables spoil prior to consumption due to the inability to optimize storage<br />
<br>conditions for each commodity.<br />
<br><br />
<br>Fruit and vegetable tissue chemistry is being studied to determine relationships with apple and potato<br />
<br>firmness. Components of internal chemistry could serve as potential markers for plant breeders to select<br />
<br>fruits for fresh market and processing purposes.<br />
<br><br />
<br>Various methods and concepts are under study to address food safety concerns. The two primary areas of<br />
<br>concern are pathogen contamination and internal pest infestation. Studies include evaluation of<br />
<br>"eelectronic nose"e biosensor technology for online testing and also more fundamental antibody and DNA<br />
<br>based assay work toward development of a biosensor. The studies address the broad stakeholder concern<br />
<br>of domestic Salmonella and E. coli contamination as well as monitoring of such contamination on fruits<br />
<br>and vegetables entering the U.S. from foreign sources. Detection and/or treatment of pest<br />
<br>infestations/occurrence in fruits and vegetables is another high priority food safety issue for stakeholders.<br />
<br>Radio-frequency (RF) heating is being studied as a quarantine treatment for codling moths on cherries<br />
<br>and in-shell walnuts. This work establishes the fundamental kinetics of codling moth mortality and<br />
<br>cherry and walnut heat tolerance under RF heating. The impact is cherry and walnut producers can use<br />
<br>RF to replace methyl bromide (being phased out) in meeting quarantine requirements for export of these<br />
<br>commodities. Pesticides used in production are being phased out and with it the potential for increased<br />
<br>occurrence of pests in fruits and vegetables exists. Stakeholders are looking for alternative production<br />
<br>control methods while also recognizing there will likely be a need to develop or implement technology to<br />
<br>sort commodities for presence of insect larvae. The impact to the industry is on avoiding complete<br />
<br>rejection and loss of quantities of final product and loss of markets. Participants of this project have<br />
<br>studies which are evaluating NIR and physical property measurements of blueberries and cherries as<br />
<br>potential techniques for identification of larvae in these commodities.<br />
<br><br />
<br>The sixth area of focus for participants of this project relates to the analysis and prioritization of multiple<br />
<br>data and information which may be collected by one or more sensors to classify a quality characteristic.<br />
<br>Many of the techniques under study can produce multiple and ranging information. Determining which<br />
<br>components, or combination of components, of this information are vital to detecting a quality<br />
<br>characteristic is a task in most studies. Principle component analysis (PCA) and neural networks (NN)<br />
<br>are two advanced techniques being studied. There is no direct impact on stakeholders related to this area<br />
<br>other than this area supports the other focus areas.<br />
<br><br />
<br>Technology transfer has occurred for some of the studies under this project. A license has been granted<br />
<br>to a private company to develop and market a commercial version of an assay used as a mold bio-sensor<br />
<br>for processed tomato juice. An impact sensor was added to an on-line firmness sorting system, resulting<br />
<br>in improved sorting accuracy and a major food processor is contracting manufacture of the sorting<br />
<br>system for use in monitoring incoming fruits in order to improve the quality of canned products. A<br />
<br>relationship exists between one participant and a commercial sorting equipment manufacturer to<br />
<br>commercialize an optical density based sorting system for blueberries.<br />
<br><br />
<br>Cooperation between participating stations exists in the form of equipment and facility sharing,<br />
<br>commodity acquisition, and idea sharing. Multiple cooperative and working relationships exist with<br />
<br>entities, primarily commercial, outside the group of official project participants. The number and quality<br />
<br>of these relationships appears to be high indicating the potential for increased, and expedited,<br />
<br>development and transfer of technologies to stakeholders.<br />
<br><br />
<br>Commodities addressed by the various participants working as part of this project are: apples, potatoes,<br />
<br>blueberries, pears, cherries, walnuts, prune plums, vidalia onions, peaches, grapes, tomato juice, honey,<br />
<br>and plant based oils.<br />
<br><br />
<br>Future plans for the project involve most participants continuing to develop and refine the technology<br />
<br>they are working with and to broaden the scope of the study to additional commodities. Establishing<br />
<br>working relationships beyond the domain of the project group to facilitate concept development and<br />
<br>technology transfer remains a priority, however, a high number of such relationships presently exist. This<br />
<br>multi-state project will additionally be working to formalize a project rewrite as the focus of the group is<br />
<br>addressing some critical stakeholder issues.<br />
<br>