Recognition of weeds in corn crops: System with convolutional neural networks

Recognition of weeds in corn crops: System with convolutional neural networks

This work proposes weed classification solutions in corn crops using Deep Artificial Neural Networks. The InceptionV3, MobileNetV2 and Adapted MobileNetV2 Convolutional Neural Network architectures were used to extract features from the images. The research problem refers to the question “Does the u...

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Bibliographic Details
Main Authors: Rodrigo Nunes Wessner, Rejane Frozza, Daniela Duarte da Silva Bagatini, Rolf Fredi Molz
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Agriculture and Food Research
Subjects:
Convolutional neural network
Weeds
Corn
Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S266615432300176X

Internet

http://www.sciencedirect.com/science/article/pii/S266615432300176X

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