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Subrat SaurabhAuthor of Kuch Woh PalPrincipal Aspects of the Book:
· It presents the study of the variability of mango quality at the harvest stage, during post-harvest storage and due to cultivar difference.
· It presents the study of the potential of four different cameras (monochrome, color, ultra-violet and near-infra-red) in a computer vision system for quality evaluation of a mango.
· The development of an algorithm for the extraction of various morphological features of a mango fruit using each camera setup.
· The development of algorithms for the detection of the defects on the surface of a mango fruit using a monochrome and color (RGB) camera computer vision system.
· The development of an algorithm for bruise detection just below the peel of a mango fruit using near infra-red camera-based computer vision system.
· The investigation of various types of defects responsible for the loss of quality of a mango and its market value using UV camera-based computer vision system.
· Mathematical models were developed for predicting the mass and volume of the fruit using various morphological features, geometrical characteristics and derivative parameters as the independent variables
Krishna Kumar Patel, Mohammad Ali Khan, Abhijit Kar
Krishna Kumar Patel is currently the Assistant Professor in the Department of Agricultural Engineering, Faculty of Agricultural Sciences at the Post Graduate College, Ghazipur. He did his Post graduation in Agricultural Process and Food Engineering and is a Doctor of Philosophy in Post Harvest Engineering and Technology from Aligarh Muslim University, Aligarh.
Krishna Kumar Patel has been engaged in teaching, research and technology extension since his post-graduation in 2008. He has authored several research and review papers which have been published in national and international journals. He has also contributed six chapters in knowledge-based books published by a renowned publisher. Currently, he is engaged in teaching and research. His research is focused on non-destructive quality evaluation of agricultural produce based on computer vision technology. He is a member of the Indian Society of Agricultural Engineers.
