Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods

YH Haw, KW Lai, JH Chuah, SK Bejo, NA Husin… - PeerJ Computer …, 2023 - peerj.com
Oil palm is a key agricultural resource in Malaysia. However, palm disease, most
prominently basal stem rot caused at least RM 255 million of annual economic loss. Basal …

[HTML][HTML] A review of an artificial intelligence framework for identifying the most effective palm oil prediction

FN Mohd Nain, NH Ahamed Hassain Malim… - Algorithms, 2022 - mdpi.com
Machine Learning (ML) offers new precision technologies with intelligent algorithms and
robust computation. This technology benefits various agricultural industries, such as the …

Discovering the Ganoderma Boninense Detection Methods Using Machine Learning: A Review of Manual, Laboratory, and Remote Approaches

CAT Tee, YX Teoh, L Yee, BC Tan, KW Lai - IEEE Access, 2021 - ieeexplore.ieee.org
Ganoderma disease is a kind of infection that actuates oil palm death. Early detection of
Ganoderma disease is the most recommended strategy for proper treatment and disease …

Detection and Management of Basal Stem Rot of Oil Palm: Classical to Modern Approaches

J Keerthana, M Amrutha Lakshmi, S Aditya… - … and Management of …, 2023 - Springer
Abstract Oil palm (Elaeis guineensis Jacq.), also referred as 'Golden palm', is the most
efficient oil-yielding perennial crop in the world. Unfortunately, basal stem rot (BSR) disease …

Macronutrient Interactions and Microbial Population in Ultisols and Spodosols Affecting the Incidence of Ganoderma Disease.

CDA Fitriana, H Wirianata, YMT Astuti… - Pertanika Journal of …, 2024 - search.ebscohost.com
The spread of Ganoderma disease in oil palm plantations is affected by several factors, one
of the most significant being the soil type. Different soil types influence the availability of …