Sensors in Agriculture, / Volume 1.
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 p...
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| Year of Publication: | 2019 |
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Moshou, Dimitrios auth Sensors in Agriculture, Volume 1. MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (346 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English optical sensor spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor 3-03897-412-9 |
| language |
English |
| format |
eBook |
| author |
Moshou, Dimitrios |
| spellingShingle |
Moshou, Dimitrios Sensors in Agriculture, |
| author_facet |
Moshou, Dimitrios |
| author_variant |
d m dm |
| author_sort |
Moshou, Dimitrios |
| title |
Sensors in Agriculture, |
| title_full |
Sensors in Agriculture, Volume 1. |
| title_fullStr |
Sensors in Agriculture, Volume 1. |
| title_full_unstemmed |
Sensors in Agriculture, Volume 1. |
| title_auth |
Sensors in Agriculture, |
| title_new |
Sensors in Agriculture, |
| title_sort |
sensors in agriculture, |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2019 |
| physical |
1 electronic resource (346 p.) |
| isbn |
3-03897-413-7 3-03897-412-9 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT moshoudimitrios sensorsinagriculturevolume1 |
| status_str |
n |
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(CKB)4920000000095077 (oapen)https://directory.doabooks.org/handle/20.500.12854/59230 (EXLCZ)994920000000095077 |
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Sensors in Agriculture, |
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1796649061283004417 |
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