Support Vector Machine in Precision Agriculture: A review-Reference-Cited by-同舟云学术

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Support Vector Machine in Precision Agriculture: A review

Published:2021-12 Issue: Volume:191 Page:106546
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Kok Zhi Hong,Mohamed Shariff Abdul Rashid,Alfatni Meftah Salem M.,Khairunniza-Bejo Siti

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference76 articles.

1. Bag-of-visual-words-augmented Histogram of Oriented Gradients for efficient weed detection;Abouzahir;Biosystems Engineering,2021

2. Assessment of the optimal spectral bands for designing a sensor for vineyard disease detection: the case of ‘Flavescence doree’;Al-Saddik;Precision Agriculture,2019

3. Novelty detection classifiers in weed mapping: Silybum marianum detection on UAV multispectral images;Alexandridis;Sensors,2017

4. Wheat leaf rust detection at canopy scale under different LAI levels using machine learning techniques;Azadbakht;Computers and Electronics in Agriculture,2019

5. Evaluation of support vector machine and artificial neural networks in weed detection using shape features;Bakhshipour;Computers and Electronics in Agriculture,2018

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