1. GEOVISUALISATION APPROACH
GEO AIDED BIOLOGICAL COCOA
PEST CONTROL VISUALISOR (GAB-CPCV)
INTRODUCTION
PROBLEM STATEMENT
Ants (Cocoa Black Ant, CBA) have great potential to be used as a biological control agents against the Cocoa pod borer (CPB), that cause substantial cocoa yield loss. The CBA population monthly distribution data collected by Malaysia Cocoa Board (MCB) researcher, but the actual view of the CBA distribution is not clearly seen, not spatially viewed and its strength of population cannot be determined. This research was aimed to enhance the CBA distribution analysis and monitoring through geospatial visualization or geovisualisor
approach
Manual data collection followed by mapping the infestation through Excel worksheet are time consuming
The distribution of CBA throughout the blocks and its strength of population cannot be determined technically and scientifically
Geospatial approaches able to map this CBA
distribution thus, provide clear and meaningful
information for cocoa pest management decision
NOVELTY
(INNOVATION):
Integration of field data collection with geospatial approach for CBA population distribution mapping
OBJECTIVES
1) To produce biological distribution maps of the Cocoa black ants in cocoa plantation through geospatial approach
COMMERCIALIZATION
Potential By:
Malaysia Cocoa Board (MCB)
Ministry of Agriculture (MOA)
USEFULNESS
Clear and informative CBA spatially result for management control decision by the MCB
2) To quantify CBA distribution variability based on the ant’s augmented nest of the cocoa plots
GEOVISUALISATION APPROACH
CONVENTIONAL
METHODS
IMPROVISED
GAB-CPCV
CBA Population Pattern for Block and Year
Other species of ant: Intrusion
Artificial nest methods with CBA population
Spatial Comparison of CBA Population
References:
Bakar, S., & Ismail, A. Five Years Of Using Cocoa Black Ants, To Control Cocoa Pod Borer At Farmer Plot - An Epilogue. Malaysian Cocoa Journal,
Sexson, D. L., Granadino, C. A., & Wyman, J. A. (2012). Area Wide Pest Management Using GIS and GPS Systems. Vegetable Crop Update, 27.
Ribes, D. M., Sio, J., Planas, S., Almacellas, J., Tora, R., & Avilla, J. (2005). The Use Of Geostatistics and GIS to Optimise Pest Control Practices In Precision Farming Systems. Information and Technology For Sustainable Fruit and Vegetable Production, 584.
Chuang, T. C., Wan, C. C., & Daud, A. H. (2012). Application Of Remote Sensing Technique For Rice Precision Farming. Asia-Pacific Regional Space Agency Foru Kuala Lumpur: APRSAF-19.
Espinosa, J., Mite, F., Barriga, S., & Andino, J.(2006). Viernes. Site Specific Management of Tropical Plantation Crops in Latin America.
Gleen, D., Minami, M., Mitchell, A., Short, N., & Thurston, J. (2006). A Guide for Managers of Area Wide Pest Management Programmes. Designing And Implementing A Geographical Information System
PREPARED BY:
NOR AIZAM ADNAN1, ABDUL HAKIM SALEH & SARIPAH BAKAR2
1APPLIED REMOTE SENSING AND GEOSPATIAL RESEARCH GROUP
FACULTY OF ARCHITECTURE PLANNING AND SURVEYING
UiTM SHAH ALAM, SELANGOR DARUL EHSAN
2 MALAYSIAN COCOA BOARD, WISMA SEDCO
LORONG PLAZA WAWASAN OFF COASTAL HIGHWAY
LOCKED BAG 811, KOTA KINABALU, SABAH