Evaluating the effectiveness of machine learning and computer vision techniques for the early detection of maize plant disease

• Main Authors: Njazi, Shaun Tatenda, Zainuddin, Ahmad Anwar, Ahmad Puzi, Asmarani, Mohd Abu Bakar, Nur Athirah, Ramada, Aly Mennatallah Khaled Mohammad, Hamizan, Hasbullah, Sahak, Rohilah, Mat Rosani, Aiman Najmi, Ghazalli, Nasyitah, Abdul Rahman, Siti Husna, Kamarudin, Saidatul Izyanie
• Format: Article
• Language: English
• Published: Penteract Technology 2023
• Subjects: T Technology (General); T173.2 Technological change
• Online Access: http://irep.iium.edu.my/106493/7/106493_Evaluating%20the%20effectiveness%20of%20machine%20learning.pdf; http://irep.iium.edu.my/106493/; https://mjsat.com.my/index.php/mjsat/article/view/180; https://doi.org/10.56532/mjsat.v3i3.180

Monitoring plant growth is a crucial agricultural duty. In addition, the prevention of plant diseases is an essential component of the agricultural infrastructure. This technique must be automated tokeep up with the rising food demand caused by increasingpopulation expansion. This work eval...