Comparison of different variable selection methods for predicting the occurrence of Metisa Plana in oil palm plantation using machine learning

• Main Authors: Wang, Y. P., Idris, Nurul Hawani, Muharam, Farrah Melissa, Asib, Norhayu, Lau, Alvin Meng Shin
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: G Geography (General); S Agriculture (General)
• Online Access: http://eprints.utm.my/107735/1/NurulHawaniIdris2023_ComparisonofDifferentVariableSelection.pdf; http://eprints.utm.my/107735/; http://dx.doi.org/10.1088/1755-1315/1274/1/012008
• Institution: Universiti Teknologi Malaysia

Monitoring and predicting the spatio-temporal distribution of crop pests and assessing related risks are crucial for effective pest management strategies. Machine learning techniques have shown potential in analysing agricultural data and providing accurate predictions. Variable selection plays a cr...