This paper presents the recent developments and application of image analysis and computer vision system in an automatic fruit recognition system. It is essential to throw light on basic concepts and technologies associated with computer vision system, a tool used in image analysis of fruit characterization. In India, in view of the ever-increasing population, losses in handling and processing and the increased expectation of food products of high quality and safety standards, there is a need for the growth of accurate, fast and objective quality determination of fruits. A number of challenges had to be overcome to enable the system to perform automatic recognition of the kind of fruit or fruit variety using the images from the camera. Several types of fruits are subject to significant variation in color and texture, depending on how ripe they are. There are many processes in agriculture where decisions are made based on the appearance of the product. Applications for grading the fruit by its quality, size or ripeness are based on its appearance, as well as a decision on whether it is healthy or diseased. The objective of this paper is to provide in depth introduction of machine vision system, its components and recent work reported on an automatic fruit characterization system.
General TermsImage analysis, fruit characterization, computer vision.
Although increased information systems (IS) development outsourcing is the trend, many of these arrangements fail to meet client expectations. We take a coordination perspective and adopt an information processing lens used by prior organization theorists to conceptualize sets of formal structural and informal nonstructural mechanisms, and predict their positive impacts on the strategic IT benefits achieved by the client. Utilizing a strategic alliance lens, we also predict that two characteristics of the client-vendor arrangement will moderate the impacts of both sets of coordination mechanisms. We test our hypotheses using hierarchical regression techniques on field survey data collected from 141 IS managers in client firms, responsible for IS development outsourcing arrangements. We found that the implementation of both structural and informal mechanisms positively impact the client’s strategic IT benefits. In arrangements with greater resource provisioning by the vendor, the positive impacts of informal governance mechanisms are strengthened. In arrangements with higher values similarity, the positive impacts of structural governance mechanisms are strengthened, but the positive impacts of informal mechanisms are weakened. A post-hoc analysis of a mediation model reveals that values similarity also has a positive relationship to both structural and informal governance mechanisms. This study therefore provides empirical support for the validity of an information processing lens to theorize lateral mechanism solutions to the coordination challenges of IS development outsourcing. Implications for research and practice are discussed, including the need for future research to better understand how client managers evolve sets of formal and informal mechanisms over the life of an outsourcing arrangement to achieve strategic objectives for their IT organization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.