CerealNet: A Hybrid Deep Learning Architecture for Cereal Crop Mapping Using Sentinel-2 Time-Series
Remote sensing-based crop mapping has continued to grow in economic importance over the last two decades. Given the ever-increasing rate of population growth and the implications of multiplying global food production, the necessity for timely, accurate, and reliable agricultural data is of the utmos...
Main Authors: | Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, Omar Bourja, Rachid Hadria, Ouiam Lahlou, Samir Benmansour, Yahya Zennayi, François Bourzeix |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Informatics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9709/9/4/96 |
Similar Items
-
Cereals and cereal products
by: 8096 British Standards Institution -
Cereals /
by: Grubben, G. J. H., et al.
Published: (1996) -
Editorial: Nutrition and chemistry of cereal macromolecules in cereal-based products
by: Hua-Min Liu, et al.
Published: (2022-11-01) -
Trends in Mycotoxin Contamination of Cereals and Cereal Products in Korea
by: Theresa Lee, et al.
Published: (2022-12-01) -
Cereal grain quality /
by: Henry, R. J., et al.
Published: (1996)