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In comparative tastings, wines from California's Central Coast rival those from such renowned regions as Bordeaux, Burgundy, and Napa, yet they also offer superb value. This is the first comprehensive guide to one of the world's most dynamic and beautiful wine regions-and the setting for the award-winning movie Sideways. An excellent, one-stop resource for touring and tasting at convenient wineries located from Monterey to Santa Barbara, the guide is organized into county-by-county alphabetical listings for this up-and-coming region.Wines and Wineries of California's Central Coast includes:* Profiles of nearly 300 wineries personally visited by the author* Profiles of individual vintners* 5 maps* Winery ratings, plus author and winemaker recommendations* Visitors' and contact information for each winery* Discussions of regional wine history and terroir* Descriptions of designated American Viticultural Areas and grape varietals

Wine and wine making --- agriculture. --- alcohol. --- bordeaux. --- burgundy. --- cabernet franc. --- cabernet sauvignon. --- california wine. --- carmel valley. --- central coast. --- coast. --- ecology. --- food and drink. --- food science. --- grape varietals. --- monterey. --- napa. --- nonfiction. --- santa barbara. --- science. --- terroir. --- tourism. --- travel destinations. --- travel. --- vineyard. --- vintner. --- viticulture. --- wine books. --- wine making. --- wine regions. --- wine tour. --- wine vacation. --- wine. --- winery. --- wines.

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This book reprinted from articles published in the Special Issue “Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging” of the journal Foods aims to provide a deeper understanding of novel techniques to measure the different sensory, emotional, and physiological responses toward foods. The editor hopes that the findings from this Special Issue can help the broader scientific community to understand the use of novel sensory science techniques that can be used in the evaluation of products.

Psychology --- virtual reality --- acceptability --- Cabernet Sauvignon --- wine --- context --- emotions --- immersive environments --- chocolate products --- hordenine --- happiness --- beer consumption --- sensory analysis --- beer styles --- entomophagy --- neophobia --- alternative protein source --- emojis --- EsSense profile® --- facial expressions --- purchase intention --- energy drinks --- beef --- chocolate --- biometrics --- Cochran’s Q test --- ethnic --- plant --- conscious --- unconscious --- check-all-that-apply --- linear model --- correspondence analysis --- RPPG and PPG heart rate --- branding --- familiarity --- soy sauce --- food images --- consumer --- approach–avoidance --- Approach–Avoidance Task (AAT) --- valence --- arousal --- wanting --- implicit measure --- self-report --- mobile phone --- home-use test --- ecological validity --- jambalaya --- online auction --- n/a --- Cochran's Q test --- approach-avoidance --- Approach-Avoidance Task (AAT)

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This book reprinted from articles published in the Special Issue “Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging” of the journal Foods aims to provide a deeper understanding of novel techniques to measure the different sensory, emotional, and physiological responses toward foods. The editor hopes that the findings from this Special Issue can help the broader scientific community to understand the use of novel sensory science techniques that can be used in the evaluation of products.

Psychology --- virtual reality --- acceptability --- Cabernet Sauvignon --- wine --- context --- emotions --- immersive environments --- chocolate products --- hordenine --- happiness --- beer consumption --- sensory analysis --- beer styles --- entomophagy --- neophobia --- alternative protein source --- emojis --- EsSense profile® --- facial expressions --- purchase intention --- energy drinks --- beef --- chocolate --- biometrics --- Cochran's Q test --- ethnic --- plant --- conscious --- unconscious --- check-all-that-apply --- linear model --- correspondence analysis --- RPPG and PPG heart rate --- branding --- familiarity --- soy sauce --- food images --- consumer --- approach-avoidance --- Approach-Avoidance Task (AAT) --- valence --- arousal --- wanting --- implicit measure --- self-report --- mobile phone --- home-use test --- ecological validity --- jambalaya --- online auction --- virtual reality --- acceptability --- Cabernet Sauvignon --- wine --- context --- emotions --- immersive environments --- chocolate products --- hordenine --- happiness --- beer consumption --- sensory analysis --- beer styles --- entomophagy --- neophobia --- alternative protein source --- emojis --- EsSense profile® --- facial expressions --- purchase intention --- energy drinks --- beef --- chocolate --- biometrics --- Cochran's Q test --- ethnic --- plant --- conscious --- unconscious --- check-all-that-apply --- linear model --- correspondence analysis --- RPPG and PPG heart rate --- branding --- familiarity --- soy sauce --- food images --- consumer --- approach-avoidance --- Approach-Avoidance Task (AAT) --- valence --- arousal --- wanting --- implicit measure --- self-report --- mobile phone --- home-use test --- ecological validity --- jambalaya --- online auction

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Interest has grown regarding natural plant extracts in food and beverage applications, their vital role in the food industry, and their therapeutic use against diseases. The protective effects of healthy diets are partially due to the variety of plant metabolites, particularly phenolic compounds, which are considered the most important class of compounds that originates from plant-derived metabolites. Phenolics are well renowned for their possession of a wide array of remarkable biological properties. This Special Issue (SI) aims to gather the most recent contributions concerning their chemistry, extraction methods, and analytical techniques, applications, and biological activities. This Special Issue of Processes, entitled “Phenolic Compounds: Extraction, Optimization, Identification and Applications in Food Industry”, gathers the recent work of leading researchers in a single collection, covering a variety of theoretical studies and experimental applications and focusing on the extraction, identification, and industrial applications. The advances presented in the contributions in this SI have significantly helped to accomplish this target. In addition to research articles, the Special Issue features two reviews that cover a range of topics highlighting the versatility of the area. The topics covered in this SI include advanced methodologies for the isolation, purification, and analysis of phenolics from food, food waste, and medicinal plants; biological activities and mechanisms of action; health benefits from in vivo evaluation; and the development of novel phenolics-based nutraceuticals and functional ingredients.

Research & information: general --- Biology, life sciences --- Food & society --- flavonoids --- extraction methods --- biotransformation --- human health --- verjuice --- phytochemicals --- unripe grape juice --- pulmonary adenocarcinoma --- anti-proliferative --- antioxidant --- Dalbergia species --- DPPH free radical scavenging assay --- fatty acid --- phytosterol --- tocopherol --- total phenolic compound composition --- U/A-AE --- Nephelium lappaceum L. --- separation --- ellagitannins --- geraniin --- olive oil --- olive paste --- by-product --- industrial process --- phenolic compounds --- Moringa oleifera --- microencapsulation --- cell viability --- storage --- in vitro digestion --- polyphenols --- antioxidant activity --- Echinacea purpurea extracts --- glassy carbon electrode (GCE) --- carbon nanotubes (CNTs) --- SARS-CoV --- coronavirus --- traditional Chinese medicine --- COVID-19 --- natural products --- polyphenolic --- Phenol-Explorer --- I-Class --- Synapt G2-Si --- phenolomics --- pumpkin seed oil --- oleogels --- HPLC-MS --- Fourier transform infrared spectroscopy --- chemometrics --- storage follow-up --- potato peel --- ultrasound --- phenolic compound --- Cabernet Sauvignon concentrate --- reverse osmosis --- nanofiltration --- cellulose/raspberry encapsulates --- phenolics --- anthocyanins --- inhibition of α-amylase --- TWIMS --- phenol-explorer database --- UPLC-MS-MS --- bee pollen --- cinnamic acid derivatives --- food processing --- kaempferol glycosides --- luteolin --- quercetin glycosides --- tricetin --- flavonoids --- extraction methods --- biotransformation --- human health --- verjuice --- phytochemicals --- unripe grape juice --- pulmonary adenocarcinoma --- anti-proliferative --- antioxidant --- Dalbergia species --- DPPH free radical scavenging assay --- fatty acid --- phytosterol --- tocopherol --- total phenolic compound composition --- U/A-AE --- Nephelium lappaceum L. --- separation --- ellagitannins --- geraniin --- olive oil --- olive paste --- by-product --- industrial process --- phenolic compounds --- Moringa oleifera --- microencapsulation --- cell viability --- storage --- in vitro digestion --- polyphenols --- antioxidant activity --- Echinacea purpurea extracts --- glassy carbon electrode (GCE) --- carbon nanotubes (CNTs) --- SARS-CoV --- coronavirus --- traditional Chinese medicine --- COVID-19 --- natural products --- polyphenolic --- Phenol-Explorer --- I-Class --- Synapt G2-Si --- phenolomics --- pumpkin seed oil --- oleogels --- HPLC-MS --- Fourier transform infrared spectroscopy --- chemometrics --- storage follow-up --- potato peel --- ultrasound --- phenolic compound --- Cabernet Sauvignon concentrate --- reverse osmosis --- nanofiltration --- cellulose/raspberry encapsulates --- phenolics --- anthocyanins --- inhibition of α-amylase --- TWIMS --- phenol-explorer database --- UPLC-MS-MS --- bee pollen --- cinnamic acid derivatives --- food processing --- kaempferol glycosides --- luteolin --- quercetin glycosides --- tricetin

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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.

History of engineering & technology --- SVM --- budding rate --- UAV --- geometric consistency --- radiometric consistency --- point clouds --- ICP --- reflectance maps --- vegetation indices --- Parrot Sequoia --- artificial intelligence --- precision agriculture --- agricultural robot --- optimization algorithm --- online operation --- segmentation --- coffee leaf rust --- machine learning --- deep learning --- remote sensing --- Fourth Industrial Revolution --- Agriculture 4.0 --- failure strain --- sandstone --- digital image correlation --- Hill–Tsai failure criterion --- finite element method --- reference evapotranspiration --- moisture sensors --- machine learning regression --- frequency-domain reflectometry --- randomizable filtered classifier --- convolutional neural network --- U-Net --- land use --- banana plantation --- Panama TR4 --- aerial photography --- remote images --- systematic mapping study --- agriculture --- applications --- total leaf area --- mixed pixels --- Cabernet Sauvignon --- NDVI --- Normalized Difference Vegetation Index --- precision viticulture --- 3D model --- spatial vision --- fertirrigation --- teaching–learning --- spectrometry --- Sentinel-2 --- pasture quality index --- normalized difference vegetation index --- normalized difference water index --- supplementation --- decision making --- digital agriculture --- grape yield estimate --- berries counting --- Dilated CNN --- machine learning algorithms --- classification performance --- winter wheat mapping --- large-scale --- water stress --- Prunus avium L. --- stem water potential --- low-cost thermography --- thermal indexes --- canopy temperature --- non-water-stressed baselines --- non-transpiration baseline --- soil moisture --- andosols --- image processing --- greenhouse --- automatic tomato harvesting --- n/a --- Hill-Tsai failure criterion --- teaching-learning