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Agriculture Sciences --- Engineering --- Food Science and Technology --- Horticulture and Plant Culture (including Arboriculture) --- oil crops --- genetics and breeding --- germplasm resources --- plant protection and cultivation --- oil detection and quality inspection

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Over the past century, the manufacturing industry has undergone a number of paradigm shifts: from the Ford assembly line (1900s) and its focus on efficiency to the Toyota production system (1960s) and its focus on effectiveness and JIDOKA; from flexible manufacturing (1980s) to reconfigurable manufacturing (1990s) (both following the trend of mass customization); and from agent-based manufacturing (2000s) to cloud manufacturing (2010s) (both deploying the value stream complexity into the material and information flow, respectively). The next natural evolutionary step is to provide value by creating industrial cyber-physical assets with human-like intelligence. This will only be possible by further integrating strategic smart sensor technology into the manufacturing cyber-physical value creating processes in which industrial equipment is monitored and controlled for analyzing compression, temperature, moisture, vibrations, and performance. For instance, in the new wave of the ‘Industrial Internet of Things’ (IIoT), smart sensors will enable the development of new applications by interconnecting software, machines, and humans throughout the manufacturing process, thus enabling suppliers and manufacturers to rapidly respond to changing standards. This reprint of “Sense and Respond” aims to cover recent developments in the field of industrial applications, especially smart sensor technologies that increase the productivity, quality, reliability, and safety of industrial cyber-physical value-creating processes.

EEG sensors --- manufacturing systems --- problem-solving --- deep learning --- TDOA --- sensor networks --- hyperboloids --- node distribution --- genetic algorithms --- asynchronous --- Cramér–Rao lower bound --- heteroscedasticity --- soft sensors --- industrial optical quality inspection --- artificial vision --- long-term monitoring benefits --- indoor air quality --- low cost --- occupational safety and health --- industry 4.0 --- IOTA tangle --- Industry 4.0 --- IIoT --- geometric deep learning --- lean management --- cramer rao lower bound --- localization --- LPS --- multi-objective optimization --- sensor failure --- wireless sensor networks --- conceptual framework --- sensors --- approaches --- tools --- data --- application --- project engineering --- LCA --- SDG 9 --- SDG 11

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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

History of engineering & technology --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition

Choose an application

• Reference Manager
• EndNote
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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model