Remote sensing for agricultural applications: A meta-review

Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount for human livelihood. Today, this role must be satisfied within a context of environmental sustainability and climate change, combined with an unprecedented and still-expanding human population size, while ma...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing of environment Jg. 236; S. 111402
Hauptverfasser:	Weiss, M., Jacob, F., Duveiller, G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Inc 01.01.2020 Elsevier BV Elsevier
Schlagworte:	Agricultural land Agricultural practices Agricultural sciences Agriculture Agronomy Assimilation Biodiversity Biodiversity loss Climate change Crop Crop yield Crop yield forecasting Crops Deep learning Detection Ecological monitoring Ecosystem services Engineering Sciences environmental sustainability Evolution & development evolutionary adaptation Fibers fuels human population Human populations humans Inversion Land cover Land use Life Sciences livelihood Machine learning monitoring Phenotyping Plant breeding Population number population size Precision farming Radiative transfer model Raw materials Remote sensing Remote sensing techniques Review Sensing techniques Signal and Image processing soil Soil water stakeholders Traits Viability Water resources Yield yield forecasting Assimilation Radiative transfer model Inversion Review Land cover Remote sensing Traits Land use Crop Deep learning Precision farming Machine learning Phenotyping Agriculture Yield Ecosystem services
ISSN:	0034-4257, 1879-0704
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!