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Sensors in Agriculture

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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Bibliographic Details
Main Author:	Moshou, Dimitrios
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:	Cie-lab Machine Learning Salt Concentration Deep Convolutional Neural Networks Radar Partial Least Squares-discriminant Analysis Electromagnetic Induction Land Cover Apparent Soil Electrical Conductivity Dielectric Probe Capsicum Annuum Geoinformatics Sensor Back Propagation Model Germination Time-series Data Diffusion Quality Assessment Crop Monitoring Proximal Sensor Feature Selection Vegetable Oil Water Depth Sensors Packing Density Big Data Data Fusion Visible And Near-infrared Reflectance Spectroscopy Laser-induced Breakdown Spectroscopy Deep Learning Rgb-d Sensor Spectral Pre-processing Random Forests Neural Networks Total Carbon Nitrogen Compound Sensor Spatial Variability Irrigation Texture Features Spatial Data Silage Heavy Metal Contamination Eca-directed Soil Sampling Pest Scouting Light-beam Rice Leaves Dynamic Weight Wide Field View Precision Plant Protection Pls Rpas Remote Sensing Image Classification Optical Sensor Wi-sun Total Nitrogen Kinect Agriculture Wireless Sensor Network (wsn) Hyperspectral Imaging Radiative Transfer Model Spiking Drying Temperature Water Supply Network Speckle Ambient Intelligence Weeds Semi-arid Regions Machine-learning Landslide Mandarin Orange Fusarium Wireless Sensor Networks (wsn) Genetic Algorithms Electronic Nose Gradient Boosted Machines Thermal Imaging Pest Management Temperature Sensors Gf-1 Satellite Chromium Content Soil Mapping Energy Balance Stratification Water Management Rice Fuzzy Logic Computer Vision Bovine Embedded Hardware Spatial-temporal Model Simultaneous Measurement Vitis Vinifera X-ray Fluorescence Spectroscopy Boron Tolerance Birth Sensor Wheat Chemometrics Analysis Soil Type Classification Spectral Analysis Ss-oct Soil Wireless Sensor Network Spectroscopy 3d Reconstruction Near-infrared Event Detection Area Frame Sampling Handheld Precision Agriculture Laser Wavelength Meat Spoilage Weed Control Geo-information Photograph-grid Method One-class Diseases Soil Salinity Energy Efficiency Striped Stem-borer Discrimination History Of Engineering And Technology / Bicssc Recognition Patterns Preprocessing Methods Scattering Crop Area Dry Matter Composition Change Of Support Wireless Sensor Biological Sensing Gas Sensor Cameras Apple Shelf-life Salt Tolerance Wsn Distribution Algorithms Near Infrared Geostatistics Moisture Multivariate Water Quality Parameters Thermal Image Moisture Content Cars Soil Moisture Sensors Crop Inspection Platform Regression Estimator Distributed Systems Stereo Imaging Uas Hyperspectral Camera Management Zones Nir Hyperspectral Imaging Vineyard Noninvasive Detection Leaf Area Index Near Infrared Sensors Connected Dominating Set Dataset Plant Localization Proximity Sensing Spa-mlr Processing Of Sensed Data Vegetation Indices Virtual Organizations Of Agents Rice Field Monitoring Response Surface Sampling Smart Irrigation Clover-grass Lidar Real-time Processing Remote Sensing Electrochemical Sensors Mobile App Texture Feature Detection Classification Field Crops Agricultural Land Vine Fluorescent Measurement Data Validation And Calibration Hulled Barely Object Tracking Artificial Neural Networks Sensor Evaluation Case Studies Dielectric Dispersion Grapevine Breeding Obstacle Detection Plant Disease Plant Phenotyping Pest Greenhouse Naked Barley On-line Vis-nir Measurement
Online Access:	https://www.mdpi.com/books/pdfview/book/1344 https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	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.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:	1 electronic resource (354 p.)
ISBN:	books978-3-03897-745-2 9783038977452 9783038977445

Sensors in Agriculture

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