Design and Pilot Study for an Efficient High-Throughput Automated Computer-Vision Guided Intelligent De-Calyxing Machine for Post-Harvest Strawberry Processing

Strawberries harvested for processing as frozen fruits are currently de-calyxed manually in the field. This process requires the removal of the stem cap with green leaves (i.e. the calyx) and incurs many disadvantages when performed by hand. Not only does it necessitate the need to maintain cutting tool sanitation, but it also increases labor time and exposure of the de-capped strawberries before in-plant processing. This leads to labor inefficiency and decreased harvest yield. By moving the calyx removal process from the fields to the processing plants, this new practice would reduce field labor and improve management and logistics, while increasing annual yield. As labor prices continue to increase, the strawberry industry has shown great interest in the development and implementation of an automated calyx removal system. In response, this dissertation describes the design, operation, and performance of a full-scale automatic vision-guided intelligent de-calyxing (AVID) prototype machine. The AVID machine utilizes commercially available equipment to produce a relatively low cost automated de-calyxing system that can be retrofitted into existing food processing facilities. This dissertation is broken up into five sections. The first two sections include a machine overview and a 12-week processing plant pilot study. Results of the pilot study indicate the AVID machine is able to de-calyx grade-1-with-cap conical strawberries at roughly 66 percent output weight yield at a throughput of 10,000 pounds per hour. The remaining three sections describe in detail the three main components of the machine: a strawberry loading and orientation conveyor, a machine vision system for calyx identification, and a synchronized multi-waterjet knife calyx removal system. In short, the loading system utilizes rotational energy to orient conical strawberries. The machine vision system determines cut locations through RGB real-time feature extraction. The high-speed multi-waterjet knife system uses direct drive actuation to locate 30,000 psi cutting streams to precise coordinates for calyx removal. Based on the observations and studies performed within this dissertation, the AVID machine is seen to be a viable option for automated high-throughput strawberry calyx removal. A summary of future tasks and further improvements is discussed at the end.

When Love Becomes Hate(?): The Interplay Between Consumer-Brand Relationships and Crisis Situations

This study had three purposes. First, it aimed to re-conceptualize organization-public relationships (OPRs) in public relations and crisis communication. This OPR re-conceptualization helps find out when the OPR buffering effect or the OPR love-becomes-hate effect happens. Second, it aimed to examine how consumer emotions are influenced by OPRs and influence consumer behavioral intentions. Third, it aimed to address the current problematic operationalization of the concept of consumer. Three pilot studies and one main study were conducted. Apple and Whole Foods were the two brands examined. One crisis that undermined the self-defining attributes shared between the brand and its consumers and another crisis that did not were examined for each brand. Almost 500 Apple consumers and 400 Whole Foods consumers provided usable questionnaires. This study had several major findings. First, non-identifying relationship and identifying relationship were different constructs. Moreover, trust, satisfaction, and commitment were not conceptually separate dimensions of OPRs. Second, the non-identifying relationships offered buffering effects by increasing positive attitudes and tempering anger and disappointment. The identifying relationships primarily offered the love-becomes-hate effects by increasing anger and disappointment. Third, if the crisis was relevant to consumers’ daily lives, brand response strategies were less effective at mitigating consumer negative reactions. Moreover, apology-compensation-reminder strategy was more effective compared to no-comment strategy. However, the apology-compensation-reminder strategy was no more effective than other strategies as long as brands compensate to the victims. Identifying relationships increased the effectiveness of response strategies. If the crisis did not undermine the self-defining attributes shared between consumers and brands, the response strategies worked even better. This study contributes to crisis communication research in multiple ways. First, it advances the OPR conceptualization by demonstrating that non-identifying relationship and identifying relationship are different concepts. More importantly, it advances the theory building of OPRs’ influences on crises by finding out when the buffering effect and the love-becomes-hate effect happen. Second, it adds to emotion research by demonstrating that strong OPRs can lead to negative emotions and positive emotions can have negative behavioral consequences on organizations. Third, the precise operationalization of the concept of consumer gives more insights about consumer reactions to crises.