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This Special Issue presents a range of recent technologies and innovations to help the agricultural and food industry to manage and minimize postharvest losses, enhance reliability and sustainability, and generate high-quality products that are both healthy and appealing to consumers. It focuses on three main topics of food storage and preservation technologies, food processing technologies, and the applications of advanced mathematical modelling and computer simulations. This presentation of the latest research and information is particularly useful for people who are working in or associated with the fields of agriculture, the agri-food chain and technology development and promotion.

persimmon fruit --- drying methods --- computational intelligence methods --- artificial neural network model --- support vector machine model --- k-nearest neighbors --- milk quality --- high pressure processing --- pasteurization --- milk storage --- shelf life --- bulk hazelnut kernels --- mechanical properties --- heating temperature --- oil efficiency --- relaxation process --- common beans --- beans classification --- hard-to-cook --- bean softening --- piper nigrum --- dimensions --- mass --- maturity levels --- modelling --- food security --- food quality --- agricultural production --- crop storage and processing --- food distribution --- smart digital technology --- industry 4.0 --- refrigeration --- deterioration --- cavitation --- dosage --- hurdle technology --- microorganisms --- nonthermal --- decontamination --- bulk weight --- hop cones size distribution --- chemical analysis --- energy consumption --- postharvest storage --- food packaging and shelf-life --- bitter kola --- food preservation --- alligator pepper --- underutilized seeds --- cassava --- storage --- PPD --- starch --- shelf-life --- postharvest losses --- biorational pesticides --- chemical profile --- fumigant toxicity --- modeling --- optimization --- S. hortensis --- S. intermedia --- n/a

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This Special Issue presents a range of recent technologies and innovations to help the agricultural and food industry to manage and minimize postharvest losses, enhance reliability and sustainability, and generate high-quality products that are both healthy and appealing to consumers. It focuses on three main topics of food storage and preservation technologies, food processing technologies, and the applications of advanced mathematical modelling and computer simulations. This presentation of the latest research and information is particularly useful for people who are working in or associated with the fields of agriculture, the agri-food chain and technology development and promotion.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- persimmon fruit --- drying methods --- computational intelligence methods --- artificial neural network model --- support vector machine model --- k-nearest neighbors --- milk quality --- high pressure processing --- pasteurization --- milk storage --- shelf life --- bulk hazelnut kernels --- mechanical properties --- heating temperature --- oil efficiency --- relaxation process --- common beans --- beans classification --- hard-to-cook --- bean softening --- piper nigrum --- dimensions --- mass --- maturity levels --- modelling --- food security --- food quality --- agricultural production --- crop storage and processing --- food distribution --- smart digital technology --- industry 4.0 --- refrigeration --- deterioration --- cavitation --- dosage --- hurdle technology --- microorganisms --- nonthermal --- decontamination --- bulk weight --- hop cones size distribution --- chemical analysis --- energy consumption --- postharvest storage --- food packaging and shelf-life --- bitter kola --- food preservation --- alligator pepper --- underutilized seeds --- cassava --- storage --- PPD --- starch --- shelf-life --- postharvest losses --- biorational pesticides --- chemical profile --- fumigant toxicity --- modeling --- optimization --- S. hortensis --- S. intermedia --- persimmon fruit --- drying methods --- computational intelligence methods --- artificial neural network model --- support vector machine model --- k-nearest neighbors --- milk quality --- high pressure processing --- pasteurization --- milk storage --- shelf life --- bulk hazelnut kernels --- mechanical properties --- heating temperature --- oil efficiency --- relaxation process --- common beans --- beans classification --- hard-to-cook --- bean softening --- piper nigrum --- dimensions --- mass --- maturity levels --- modelling --- food security --- food quality --- agricultural production --- crop storage and processing --- food distribution --- smart digital technology --- industry 4.0 --- refrigeration --- deterioration --- cavitation --- dosage --- hurdle technology --- microorganisms --- nonthermal --- decontamination --- bulk weight --- hop cones size distribution --- chemical analysis --- energy consumption --- postharvest storage --- food packaging and shelf-life --- bitter kola --- food preservation --- alligator pepper --- underutilized seeds --- cassava --- storage --- PPD --- starch --- shelf-life --- postharvest losses --- biorational pesticides --- chemical profile --- fumigant toxicity --- modeling --- optimization --- S. hortensis --- S. intermedia

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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

n/a --- FPGA --- recurrence plot (RP) --- residual learning --- neural networks --- driver monitoring --- navigation --- depthwise separable convolution --- optimization --- dynamic path-planning algorithms --- object tracking --- sub-region --- cooperative systems --- convolutional neural networks --- DSRC --- VANET --- joystick --- road scene --- convolutional neural network (CNN) --- multi-sensor --- p-norm --- occlusion --- crash injury severity prediction --- deep leaning --- squeeze-and-excitation --- electric vehicles --- perception in challenging conditions --- T-S fuzzy neural network --- total vehicle mass of the front vehicle --- electrocardiogram (ECG) --- communications --- generative adversarial nets --- camera --- adaptive classifier updating --- Vehicle-to-X communications --- convolutional neural network --- predictive --- Geobroadcast --- infinity norm --- urban object detector --- machine learning --- automated-manual transition --- red light-running behaviors --- photoplethysmogram (PPG) --- panoramic image dataset --- parallel architectures --- visual tracking --- autopilot --- ADAS --- kinematic control --- GPU --- road lane detection --- obstacle detection and classification --- Gabor convolution kernel --- autonomous vehicle --- Intelligent Transport Systems --- driving decision-making model --- Gaussian kernel --- autonomous vehicles --- enhanced learning --- ethical and legal factors --- kernel based MIL algorithm --- image inpainting --- fusion --- terrestrial vehicle --- driverless --- drowsiness detection --- map generation --- object detection --- interface --- machine vision --- driving assistance --- blind spot detection --- deep learning --- relative speed --- autonomous driving assistance system --- discriminative correlation filter bank --- recurrent neural network --- emergency decisions --- LiDAR --- real-time object detection --- vehicle dynamics --- path planning --- actuation systems --- maneuver algorithm --- autonomous driving --- smart band --- the emergency situations --- two-wheeled --- support vector machine model --- global region --- biological vision --- automated driving

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In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.

n/a --- pocket-sized spectrometer --- standard germination tests --- total hydroxycinnamic derivatives --- hyperspectral image --- quantitative analysis modeling --- tissue --- chemotherapy --- FTIR spectroscopy --- cheese --- biomeasurements --- chemometrics --- affine invariance --- rapid identification --- biodiagnosis --- bioanalytical applications --- fat --- NIRS --- pixel-wise --- paraffin-embedded --- late preterm --- maize kernel --- photonics --- hyperspectral image processing --- image processing --- colorectal cancer --- test set validation --- deep convolutional neural network --- near-infrared fluorescence --- classification --- variety discrimination --- near-infrared hyperspectral imaging --- ensemble learning --- light --- origin traceability --- Paris polyphylla var. yunnanensis --- Fourier transform mid-infrared spectroscopy --- dry matter --- Fourier transform infrared spectroscopy --- hyperspectral imaging --- FT-NIR spectroscopy --- proximal sensing --- perfusion measurements --- near-infrared spectroscopy --- stained --- carotenoids --- cellular imaging --- perturbation --- direct model transferability --- clinical classifications --- counterfeit and substandard pharmaceuticals --- hyperspectral imaging technology --- spectral imaging --- SVM --- nutritional parameters --- extra virgin olive oil --- ethanol --- osteopathy --- living cells --- object-wise --- water-mirror approach --- Chrysanthemum --- bootstrapping soft shrinkage --- FTIR --- PLS-R --- multivariate data analysis --- combination bands --- binary dragonfly algorithm --- geographical origin --- Vitis vinifera L. --- glucose --- detection --- di-(2-picolyl)amine --- non-destructive sensor --- splanchnic --- adulteration --- animal origin --- melamine --- artemether --- MicroNIR™ --- brain --- fluorescent probes --- Folin–Ciocalteu --- SCiO --- support vector machine --- anharmonic quantum mechanical calculations --- PLSR --- Zn(II) --- RMSEP --- overtones --- blackberries --- pasta/sauce blends --- FT-IR --- partial least squares calibration --- partial least squares (PLS) --- auxiliary diagnosis --- handheld near-infrared spectroscopy --- precision viticulture --- partial least squares --- seeds vitality --- freeze-damaged --- near infrared --- discriminant analysis --- corn seed --- quantum chemical calculation --- anharmonic calculation --- Trichosanthis Fructus --- moisture --- analytical spectroscopy --- Raman spectroscopy --- NIR spectroscopy --- calibration transfer --- imaging --- water --- lumefantrine --- BRAF V600E mutation --- wavelength selection --- bone cancer --- imaging visualization --- near infrared spectroscopy --- raisins --- chemometric techniques --- data fusion --- prepared slices --- Ewing sarcoma --- biomonitoring --- Rubus fructicosus --- VIS/NIR hyperspectral imaging --- combinations bands --- quantitative analysis model --- partial least square regression --- DFT calculations --- TreeBagger --- antimalarial tablets --- accelerated aging --- agriculture --- crude drugs --- spectroscopy --- rice seeds --- PLS --- isotopic substitution --- multivariate calibration --- phytoextraction --- Fourier-transform near-infrared spectroscopy --- phenolics --- deparaffinized --- near-infrared (NIR) spectroscopy --- SIMCA --- counter propagation artificial neural network --- fructose --- PLS-DA --- ultra-high performance liquid chromatography --- aquaphotomics --- support vector machine-discriminant analysis --- hier-SVM --- DNA --- NIR --- support vector machine model --- API --- principal component analysis --- Folin-Ciocalteu