Einzeltreffer — DigiBib

Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others.

Titel:	Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Autor/in / Beteiligte Person:	Paraforos, Dimitrios ; Muzirafuti, Anselme ; Randazzo, Giovanni ; Lanza, Stefania
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	MDPI - Multidisciplinary Digital Publishing Institute, 2022
Medientyp:	E-Book
Umfang:	322
ISBN:	978-3-0365-5335-1 (print) ; 978-3-0365-5336-8 (print)
DOI:	10.3390/books978-3-0365-5336-8
Schlagwort:	geographic information system (GIS) pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence bic Book Industry Communication:G Reference, information & interdisciplinary subjects:GP Research & information: general bic Book Industry Communication:R Earth sciences, geography, environment, planning:RG Geography
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: application/octet-stream Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20221025_9783036553351_88

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

BibTeX Citavi, JabRef, u.a.
(Literaturverwaltung)

PDF kein Volltext!
(Merkzettel, Notizen)

RIS Endnote, Citavi u.a.
(Literaturverwaltung)

MODS
(XML zur Weiterverarbeitung)

oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

Gewünschter Zitations-Stil:

oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

Sustainable Agriculture and Advances of Remote Sensing (Volume 2)