Hybrid CNN model for classification of rumex obtusifolius in Grassland

• Main Authors: Al-Badri, Ahmed Husham, Ismail, Nor Azman, Al-Dulaimi, Khamael, Rehman, Amjad, Abunadi, Ibrahim, Bahaj, Saeed Ali
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/104429/1/NorAzmanIsmail2022_HybridCNNModelforClassificationofRumex.pdf; http://eprints.utm.my/104429/; http://dx.doi.org/10.1109/ACCESS.2022.3200603

Rumex obtusifolius Linnaeus (R. obtu. L.) is one of the vital broad-leaved weeds in grassland that needs removal. It affects dairy products and reduces their quality. Hand-removal methods are costly and time-consuming. Chemical treatment using herbicides has a negative impact on crops and causes env...