Small Scale Deformation using Advanced Nanoindentation Techniques

Name: Small Scale Deformation using Advanced Nanoindentation Techniques
Brand: Ting Tsui, Alex A. Volinsky
SKU: 349887202
Price: 47.69 EUR
Availability: InStock

von Ting Tsui, Alex A. Volinsky Verlag: MDPI,

Erschienen 2019.

Gepflegter, sauberer Zustand. 34988720/2

CARS, plant phenotyping, rice, weeds, fluorescent measurement, irrigation, gradient boosted machines, stereo imaging, optical sensor, radar, vegetable oil, back propagation model, Fusarium, deep learning, temperature sensors, water depth sensors, scattering, salt tolerance, silage, thermal imaging, virtual organizations of agents, connected dominating set, hulled barely, one-class, vegetation indices, heavy metal contamination, crop monitoring, preprocessing methods, SPA-MLR, discrimination, obstacle detection, event detection, processing of sensed data, leaf area index, management zones, classification, vine, data fusion, handheld, PLS, electrochemical sensors, Wi-SUN, LiDAR, salt concentration, sensor evaluation, geostatistics, wireless sensor network (WSN), boron tolerance, moisture content, bovine embedded hardware, diffusion, 3D reconstruction, electronic nose, genetic algorithms, light-beam, visible and near-infrared reflectance spectroscopy, soil moisture sensors, germination, RPAS, hyperspectral camera, drying temperature, wireless sensor networks (WSN), data fusion, spatial data, clover-grass, noninvasive detection, laser-induced breakdown spectroscopy, spectroscopy, remote sensing, greenhouse, striped stem-borer, gas sensor, agricultural land, ECa-directed soil sampling, plant disease, precision agriculture, vineyard, proximity sensing, Fusarium, land cover, SS-OCT, classification, geo-information, packing density, landslide, agriculture, random forests, apple shelf-life, near-infrared, proximal sensor, ambient intelligence, energy efficiency, virtual organizations of agents, dry matter composition, biological sensing, diseases, sensor, hyperspectral imaging, Vitis vinifera, UAS, recognition patterns, weed control, electronic nose, area frame sampling, apparent soil electrical conductivity, Capsicum annuum, chemometrics analysis, pest, agriculture, grapevine breeding, response surface sampling, soil type classification, data fusion, total nitrogen, crop area, semi-arid regions, smart irrigation, laser wavelength, machine-learning, speckle, mobile app, detection, precision plant protection, cameras, sensor, radiative transfer model, wireless sensor network, ambient intelligence, hyperspectral imaging, agriculture, data validation and calibration, wheat, photograph-grid method, meat spoilage, texture features, feature selection, dataset, RGB-D sensor, wireless sensor, real-time processing, electromagnetic induction, thermal image, precision agriculture, moisture, change of support, near infrared, dynamic weight, distributed systems, fuzzy logic, near infrared sensors, spiking, multivariate water quality parameters, machine learning, deep convolutional neural networks, dielectric probe, partial least squares-discriminant analysis, hulled barely, geoinformatics, energy balance, data fusion, remote sensing, GF-1 satellite, stratification, neural networks, total nitrogen, big data, dielectric dispersion, soil, spatial variability, field crops, remote sensing image classification, birth sensor, data fusion, texture feature, remote sensing, wide field view, chromium content, rice field monitoring, computer vision, CIE-Lab, total carbon, pest scouting, spectral pre-processing, irrigation, rice leaves, artificial neural networks, NIR hyperspectral imaging, time-series data, case studies, X-ray fluorescence spectroscopy, LiDAR, regression estimator, spectral analysis, on-line vis-NIR measurement, naked barley, spatial-temporal model, WSN distribution algorithms, soil mapping, Kinect, quality assessment, soil salinity, nitrogen, pest management, crop inspection platform, compound sensor, water management, feature selection, simultaneous measurement, plant localization, object tracking, mandarin orange, precision agriculture, water supply network,

Produktart:: 📚 Bücher
Autor(en):: Tsui, Ting und Alex A. Volinsky:
Anbieter:: Buchpark GmbH
Bestell-Nr.:: 349887202
Katalog:: Varia
ISBN | EAN:: 303897966X | 9783038979661
Stichworte:: CARS, plant, phenotyping, rice, weeds, fluorescent, measurement, irrigation, gradient, boosted, machines, stereo, imaging, optical, sensor, radar, vegetable, propagation, model, Fusarium, deep, learning, temperature, sensors, water, depth, scattering, salt, tolerance, silage, thermal, virtual, organizations, agents, connected, dominating, hulled, barely, one-class, vegetation, indices, heavy, metal, contamination, crop, monitoring, preprocessing, methods, SPA-MLR, discrimination, obstacle, detection, event, processing, sensed, data, leaf, management, zones, classification, vine, fusion, handheld, electrochemical, Wi-SUN, LiDAR, concentration, evaluation, geostatistics, wireless, network, (WSN), boron, moisture, content, bovine, embedded, hardware, diffusion, reconstruction, electronic, nose, genetic, algorithms, light-beam, visible, near-infrared, reflectance, spectroscopy, soil, germination, RPAS, hyperspectral, camera, drying, networks, spatial, clover-grass, noninvasive, laser-induced, breakdown, remote, sensing, greenhouse, striped, stem-borer, agricultural, land, ECa-directed, sampling, disease, precision, agriculture, vineyard, proximity, cover, SS-OCT, geo-information, packing, density, landslide, random, forests, apple, shelf-life, proximal, ambient, intelligence, energy, efficiency, matter, composition, biological, diseases, Vitis, vinifera, recognition, patterns, weed, control, frame, apparent, electrical, conductivity, Capsicum, annuum, chemometrics, analysis, pest, grapevine, breeding, response, surface, type, total, nitrogen, semi-arid, regions, smart, laser, wavelength, machine-learning, speckle, mobile, protection, cameras, radiative, transfer, validation, calibration, wheat, photograph-grid, method, meat, spoilage, texture, features, feature, selection, dataset, RGB-D, real-time, electromagnetic, induction, image, change, support, infrared, dynamic, weight, distributed, systems, fuzzy, logic, spiking, multivariate, quality, parameters, machine, convolutional, neural, dielectric, probe, partial, squares-discriminant, geoinformatics, balance, GF-1, satellite, stratification, dispersion, variability, field, crops, birth, wide, view, chromium, vision, CIE-Lab, carbon, scouting, spectral, pre-processing, leaves, artificial, time-series, studies, X-ray, fluorescence, regression, estimator, on-line, vis-NIR, naked, barley, spatial-temporal, distribution, mapping, Kinect, assessment, salinity, inspection, platform, compound, simultaneous, localization, object, tracking, mandarin, orange, supply…
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Verlagstext

Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.