Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Research output: Contribution to journal › Review › Research › peer-review
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Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time : A Review. / Rakhmatuiln, Ildar; Kamilaris, Andreas; Andreasen, Christian.
In: Remote Sensing, Vol. 13, No. 21, 2021, p. 4486.Research output: Contribution to journal › Review › Research › peer-review
Harvard
Rakhmatuiln, I, Kamilaris, A & Andreasen, C 2021, 'Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review', Remote Sensing, vol. 13, no. 21, pp. 4486. https://doi.org/10.3390/rs13214486
APA
Rakhmatuiln, I., Kamilaris, A., & Andreasen, C. (2021). Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review. Remote Sensing, 13(21), 4486. https://doi.org/10.3390/rs13214486
Vancouver
Rakhmatuiln I, Kamilaris A, Andreasen C. Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review. Remote Sensing. 2021;13(21):4486. https://doi.org/10.3390/rs13214486
Author
Bibtex
@article{a04b3d9b0e3e4114934fa5716a0dfe50,
title = "Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review",
author = "Ildar Rakhmatuiln and Andreas Kamilaris and Christian Andreasen",
year = "2021",
doi = "10.3390/rs13214486",
language = "English",
volume = "13",
pages = "4486",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "M D P I AG",
number = "21",
}
RIS
TY - JOUR
T1 - Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time
T2 - A Review
AU - Rakhmatuiln, Ildar
AU - Kamilaris, Andreas
AU - Andreasen, Christian
PY - 2021
Y1 - 2021
U2 - 10.3390/rs13214486
DO - 10.3390/rs13214486
M3 - Review
VL - 13
SP - 4486
JO - Remote Sensing
JF - Remote Sensing
SN - 2072-4292
IS - 21
ER -
ID: 284402250