Dr. LADA

Diagnosing black pepper pest and diseases with decision tree

Afzan Adama, Kho Pei Ee, Noraidah Sahari @ Ashaari, Angela Tida, Chen Yi Shang, Kevin Muyang Tawie, Shafinah Kamarudin, Hazura Mohamad

Research output: Contribution to journalArticle

Abstract

Malaysia has the distinction of being the world's fifth largest pepper producer country whereby 98% of the country's annual production comes from the State of Sarawak. However, crop loss due to pest and disease incidence has been identified as one of the major pepper production constraints. Inefficient advisory mechanism and assistance from extension staffdue to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension stafffrom MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, by the Malaysian Pepper Board and Universiti Kebangsaan Malaysia has jointly developed Dr. LADA apps to diagnose six pests and ten diseases of pepper, which commonly found in Malaysia. This agriculture app can recommend appropriate management measures to solve the problems. This an interactive Android-based mobile app with an inference engine utilizes the decision tree with forward-backward chaining methods to trigger the correct disease or pest based on syndromes. The knowledge is interconnected symptoms extracted and validated by Malaysian Pepper Board experts. Dr. LADA is a native mobile app developed on a Java-based platform, which provides fast performance, a high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by the Malaysian Pepper Board and scored 97% of accuracy. Having Dr. LADA, the user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staffis reduced, and indirectly minimizing the extension activity costs.

Original languageEnglish
Pages (from-to)1584-1590
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume8
Issue number4-2
Publication statusPublished - 1 Jan 2018

Fingerprint

Piper nigrum
black pepper
Decision Trees
Malaysia
Decision trees
Application programs
pepper
Mobile Applications
pests
Inference engines
signs and symptoms (plants)
Agriculture
Internet
Farms
Crops
Logistics
crop losses
Costs and Cost Analysis
disease diagnosis
engines

Keywords

  • Agriculture app
  • Decision tree
  • Diagnosing plant disease

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

Dr. LADA : Diagnosing black pepper pest and diseases with decision tree. / Adama, Afzan; Ee, Kho Pei; Sahari @ Ashaari, Noraidah; Tida, Angela; Shang, Chen Yi; Tawie, Kevin Muyang; Kamarudin, Shafinah; Mohamad, Hazura.

In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 8, No. 4-2, 01.01.2018, p. 1584-1590.

Research output: Contribution to journalArticle

Adama, A, Ee, KP, Sahari @ Ashaari, N, Tida, A, Shang, CY, Tawie, KM, Kamarudin, S & Mohamad, H 2018, 'Dr. LADA: Diagnosing black pepper pest and diseases with decision tree', International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 4-2, pp. 1584-1590.
Adama, Afzan ; Ee, Kho Pei ; Sahari @ Ashaari, Noraidah ; Tida, Angela ; Shang, Chen Yi ; Tawie, Kevin Muyang ; Kamarudin, Shafinah ; Mohamad, Hazura. / Dr. LADA : Diagnosing black pepper pest and diseases with decision tree. In: International Journal on Advanced Science, Engineering and Information Technology. 2018 ; Vol. 8, No. 4-2. pp. 1584-1590.
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