Vision-based pest detection based on SVM classification method

By Mohammad Ebrahimi, M. Khoshtaghaza, S. Minaei, B. Jamshidi. Computers and Electronics in Agriculture, 2017

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Machine Learning Applications based on SVM Classification A Review (2021, methodology): “This enables diagnosis of the stage of general vegetable diseases [85-89].”
Machine Learning in Agriculture: A Review (2018, methodology): “In the work of [83], authors developed a new method based on image processing procedure for the classiﬁcation of parasites and the automatic detection of thrips in strawberry greenhouse environment, for real-time control.”
Plant Disease Detection and Classification by Deep Learning—A Review (2021, background): “Usually, the leaves of plants are the primary source for identifying plant diseases, and most of the symptoms of diseases may begin to appear on the leaves [2].”
Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach (2021, methodology): “SVM is also a popular supervised-machine-learning technique used for classiﬁcation purposes [11,12].”