mohammad ali khan krishna kumar (4 Ergebnisse)

Zustand: New. In.

Paperback. Zustand: Brand New. 376 pages. 9.02x5.98x0.94 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Principal 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.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Principal 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.