Welcome to NanoMite - Project 3

Project 3

Project 3: Application of the nanodelivery system and nanosensor in smart farming for actual detection and control of Ganoderma Boninense

G. boninense causes both basal stem rot (BSR)and upper stem rot (USR) and remains South East Asia’s most devastating oil palm diseases with direct loss of the stand, reduced yield of diseased palms and the resultant requirement for earlier replanting (Flood et al. 2002). Although it has been clearly identified as the main cause of the disease in oil palms, strategies for the early detection and control of G. boninense are still immature.

Observation of such symptoms in the field as mature leaves wilting and falling through malnutrition or the presence of basidiomata of the pathogen on the tree was the only method of diagnosing disease in the early days (Lelong et al. 2010). The other early diagnostic method was drilling into diseased material in the tree for sampling and then using either a colorimetric method using ethlylenediaminetetraacetic acid (EDTA) Natarajan et al.1986) or a semi-selective media to cultivate Ganoderma on agar plates (Darus et al. 1993). Both of these methods were time-consuming and not very accurate and it is now recognized that by the time basidiomata is apparent the disease is already well-established. Indeed there were no accurate techniques for detecting subclinical infections prior to the beginning of this century.


Prof. Ir. Dr. Desa Ahmad
Department of Biological and Agricultural Engineering, Faculty of Engineering,
Universiti Putra Malaysia, Serdang, Selangor

With all the drawbacks mention above, an integrated smart sensing system is vital for future sustainability of palm oil industry. Smart farming technology based on wireless network, GIS and Remote Sensing approach can be used to monitor nanosensors embedded in trees, soil and nanocarriers embedded at roots, soil quality and moisture level at the plantation. Furthermore, the GIS and Remote Sensing technologies will be used to provide information on nutrient, soil and water conditions thus indicating whether crops are growing at maximum efficiency. These technologies can improve the nutrients usage efficiency, detect and prevent G. boninense disease, provide better drainage systems and produce an effective monitoring system.

This project will focus on the implementation of the nanodelivery system and embedded nanosensor in actual plantation. This project will also also focus on establishing monitoring and alert system in detection and control of G. boninense based on nanodelivery and nanosensors embedded via wireless network, GIS and Remote Sensing technologies. Study on nano porous pipe for drainage engineering to control the effect of G.boninense infection will also be studied.




Prof. Ir. Dr. Wan Ishak Wan Ismail
UPM/Faculty of Engineering
 Assoc. Prof. Ir. Dr. Azmi Dato’ Yahya
UPM/Faculty of Engineering
 Assoc. Prof. Dr.Siti Khairunniza Bejo
UPM/Faculty of Engineering
Assoc. Prof. Dr. Mohammud Che Husain
 Dr. Aimrun Wayayok
UPM/Faculty of Engineering
 Dr. Muhammad Razif Mahadi
UPM/Faculty of Engineering
Dr. Ahmad Fikri Abdullah
UPM/Faculty of Engineering

Dr. Farrah Melissa Muharam
UPM/Faculty of Agriculture

 Dr. Fazirulhisyam Hashim
UPM/Faculty of Engineering
Dr. Norkhairunnisa Mazlan
UPM/Faculty of Engineering

Dr. Nurul Amziah Md Yunus
UPM/Faculty of Engineering

 Mr. Ezrin Mohd Husin
UPM/Smart Farming Technology Research Centre
Professor Roop L. Mahajan
Virginia Polytechnic Institute & State University, USA