RNN- and CNN-based weed detection for crop improvement: An overview

RNN- and CNN-based weed detection for crop improvement: An overview

Introduction. Deep learning is a modern technique for image processing and data analysis with promising results and great potential. Successfully applied in various fields, it has recently entered the field of agriculture to address such agricultural problems as disease identification, fruit/plant c...

Full description

Bibliographic Details
Main Authors: Brahim Jabir, Loubna Rabhi, Noureddine Falih
Format: Article
Language:English
Published: Kemerovo State University 2021-11-01
Series:Foods and Raw Materials
Subjects:
digital agriculture
weed detection
machine learning
deep learning
convolutional neural network (cnn)
recurrent neural network (rnn)
Online Access:http://jfrm.ru/en/issues/1879/1961/

Internet

http://jfrm.ru/en/issues/1879/1961/

Similar Items