THE OPPORTUNITY OF ADVANCED TECHNOLOGIES UTILIZATION FOR DETECTING BASAL STEM ROT (BSR) IN PALM OIL PLANTATION: A REVIEW DOI Open Access

Hasbi Mubarak Suud,

Bayu Taruna Widjaja Putra, Nazmi Mat Nawi

et al.

INMATEH Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 888 - 902

Published: April 29, 2025

Basal Stem Rot (BSR) disease attacks in oil palm plantations are still the most significant cause of losses plantations. The leading BSR plants is Ganoderma Boninense fungus. spread an area can be massive due to transmission through root contact, airborne, and sporophores on soil dead plant debris. application advanced technologies mitigate prevent carried out considering that nature characteristics this infection well known. Advanced such as Internet Things (IoT) suitable for real-time monitoring large areas. key successfully detecting selection sensor machine learning models used segmenting classifying infected characteristics. This paper comprehensively summarizes then describes various preventing Hopefully, complement provide a basis developing technology disease.

Language: Английский

THE OPPORTUNITY OF ADVANCED TECHNOLOGIES UTILIZATION FOR DETECTING BASAL STEM ROT (BSR) IN PALM OIL PLANTATION: A REVIEW DOI Open Access

Hasbi Mubarak Suud,

Bayu Taruna Widjaja Putra, Nazmi Mat Nawi

et al.

INMATEH Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 888 - 902

Published: April 29, 2025

Basal Stem Rot (BSR) disease attacks in oil palm plantations are still the most significant cause of losses plantations. The leading BSR plants is Ganoderma Boninense fungus. spread an area can be massive due to transmission through root contact, airborne, and sporophores on soil dead plant debris. application advanced technologies mitigate prevent carried out considering that nature characteristics this infection well known. Advanced such as Internet Things (IoT) suitable for real-time monitoring large areas. key successfully detecting selection sensor machine learning models used segmenting classifying infected characteristics. This paper comprehensively summarizes then describes various preventing Hopefully, complement provide a basis developing technology disease.

Language: Английский

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