Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland

Author:

Al-Badri Ahmed Husham1ORCID,Ismail Nor Azman1ORCID,Al-Dulaimi Khamael2ORCID,Rehman Amjad3ORCID,Abunadi Ibrahim3ORCID,Bahaj Saeed Ali4ORCID

Affiliation:

1. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

2. Computer Science Department, College of Science, Al-Nahrain University, Baghdad, Iraq

3. Artificial Intelligence and Data Analytics Laboratory, CCIS, Prince Sultan University, Riyadh, Saudi Arabia

4. MIS Department, College of Business Administration, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference58 articles.

1. Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation

2. Network in network;lin;arXiv 1312 4400,2013

3. Very deep convolutional networks for large-scale image recognition;simonyan;Proc Int Conf Learn Represent (ICLR),2015

4. CNN feature based graph convolutional network for weed and crop recognition in smart farming

5. DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

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