A review of ganoderma Basal Stem Rot (BSR) disease detection and mapping using geospatial and advanced techniques

• Published in: Geocarto International
• Main Author: Baharim M.S.A.; Adnan N.A.; Mohd F.A.; Othman A.N.; Abdul Rahim H.; Azis M.H.A.; Seman I.A.; Izzuddin M.A.; Shahabuddin N.A.; Nordiana A.A.
• Format: Review
• Language: English
• Published: Taylor and Francis Ltd. 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119952676&doi=10.1080%2f10106049.2021.1993350&partnerID=40&md5=f2dc8e7cf7d8e4ddfe1506396941e76b

In oil palm plantations, Basal Stem Rot (BSR) disease has been acknowledged by many researchers worldwide to be a core and consistent danger. Given this problem, the early evaluation of the disease is necessary to prevent any infection ranging from immature to mature levels within the oil palms. The main objective of this research study is to highlight several sensors and methods that are applied for disease detection at each level. This comprehensive review utilises the most recent geospatial technology together with other advanced technologies to study BSR disease remotely, based on assessments of multispectral data, hyperspectral data, electrical properties, Terrestrial Laser Scanning (TLS), spatial mapping, Intelligent Electronic Nose (e-nose), tomography techniques and RADAR sensors. This paper identifies and explains the important techniques and methods for detecting BSR disease for any researcher who has a significant interest in specifically monitoring the development of BSR disease. © 2021 Informa UK Limited, trading as Taylor & Francis Group.