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Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree

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@article{IJASEIT6818,
   author = {Afzan Adam and Pei Ee Kho and Noraidah Sahari and Angela Tida and Yi Shang Chen and Kevin Muyang Tawie and Shafinah Kamarudin and Hazura Mohamad},
   title = {Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {8},
   number = {4-2},
   year = {2018},
   pages = {1584--1590},
   keywords = {agriculture app, diagnosing plant disease, decision tree},
   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 staff due to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension staff from MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, “DR.LADA”, was jointly developed by Malaysian Pepper Board and Universiti Kebangsaan Malaysia to diagnose six pests and ten diseases of pepper which commonly found in Malaysia and recommends appropriate management measures to solve the problems. This an interactive android-based mobile app used an inference engine utilises the forward-backward chaining methods to trigger the correct output from decision tree that inter-relates the expert rules which extracted and validated by Malaysian Pepper Board experts. Dr.LADA is a native mobile app develop on a java-based platform which provides fast performance, high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by Malaysian Pepper Board and scored 97% of accuracy. Having Dr.LADA, user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staff are reduced, and indirectly minimizing the extension activity costs.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6818},
   doi = {10.18517/ijaseit.8.4-2.6818}
}

EndNote

%A Adam, Afzan
%A Kho, Pei Ee
%A Sahari, Noraidah
%A Tida, Angela
%A Chen, Yi Shang
%A Tawie, Kevin Muyang
%A Kamarudin, Shafinah
%A Mohamad, Hazura
%D 2018
%T Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree
%B 2018
%9 agriculture app, diagnosing plant disease, decision tree
%! Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree
%K agriculture app, diagnosing plant disease, decision tree
%X 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 staff due to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension staff from MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, “DR.LADA”, was jointly developed by Malaysian Pepper Board and Universiti Kebangsaan Malaysia to diagnose six pests and ten diseases of pepper which commonly found in Malaysia and recommends appropriate management measures to solve the problems. This an interactive android-based mobile app used an inference engine utilises the forward-backward chaining methods to trigger the correct output from decision tree that inter-relates the expert rules which extracted and validated by Malaysian Pepper Board experts. Dr.LADA is a native mobile app develop on a java-based platform which provides fast performance, high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by Malaysian Pepper Board and scored 97% of accuracy. Having Dr.LADA, user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staff are reduced, and indirectly minimizing the extension activity costs.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6818
%R doi:10.18517/ijaseit.8.4-2.6818
%J International Journal on Advanced Science, Engineering and Information Technology
%V 8
%N 4-2
%@ 2088-5334

IEEE

Afzan Adam,Pei Ee Kho,Noraidah Sahari,Angela Tida,Yi Shang Chen,Kevin Muyang Tawie,Shafinah Kamarudin and Hazura Mohamad,"Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 4-2, pp. 1584-1590, 2018. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.8.4-2.6818.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Adam, Afzan
AU  - Kho, Pei Ee
AU  - Sahari, Noraidah
AU  - Tida, Angela
AU  - Chen, Yi Shang
AU  - Tawie, Kevin Muyang
AU  - Kamarudin, Shafinah
AU  - Mohamad, Hazura
PY  - 2018
TI  - Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 8 (2018) No. 4-2
Y2  - 2018
SP  - 1584
EP  - 1590
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - agriculture app, diagnosing plant disease, decision tree
N2  - 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 staff due to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension staff from MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, “DR.LADA”, was jointly developed by Malaysian Pepper Board and Universiti Kebangsaan Malaysia to diagnose six pests and ten diseases of pepper which commonly found in Malaysia and recommends appropriate management measures to solve the problems. This an interactive android-based mobile app used an inference engine utilises the forward-backward chaining methods to trigger the correct output from decision tree that inter-relates the expert rules which extracted and validated by Malaysian Pepper Board experts. Dr.LADA is a native mobile app develop on a java-based platform which provides fast performance, high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by Malaysian Pepper Board and scored 97% of accuracy. Having Dr.LADA, user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staff are reduced, and indirectly minimizing the extension activity costs.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6818
DO  - 10.18517/ijaseit.8.4-2.6818

RefWorks

RT Journal Article
ID 6818
A1 Adam, Afzan
A1 Kho, Pei Ee
A1 Sahari, Noraidah
A1 Tida, Angela
A1 Chen, Yi Shang
A1 Tawie, Kevin Muyang
A1 Kamarudin, Shafinah
A1 Mohamad, Hazura
T1 Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree
JF International Journal on Advanced Science, Engineering and Information Technology
VO 8
IS 4-2
YR 2018
SP 1584
OP 1590
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 agriculture app, diagnosing plant disease, decision tree
AB 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 staff due to technical and logistic limitations have hindered the pest and disease diagnosis effort for pepper. Currently, extension staff from MPB will have to travel to the rural farms when contacted, or during their visits to advice or treat the plants. Therefore, “DR.LADA”, was jointly developed by Malaysian Pepper Board and Universiti Kebangsaan Malaysia to diagnose six pests and ten diseases of pepper which commonly found in Malaysia and recommends appropriate management measures to solve the problems. This an interactive android-based mobile app used an inference engine utilises the forward-backward chaining methods to trigger the correct output from decision tree that inter-relates the expert rules which extracted and validated by Malaysian Pepper Board experts. Dr.LADA is a native mobile app develop on a java-based platform which provides fast performance, high degree of reliability and can be used without any internet connection. The app has been tested with 10 case studies carried out by Malaysian Pepper Board and scored 97% of accuracy. Having Dr.LADA, user can identify problems by answering a series of questions from symptoms shown by several plant parts. Therefore, the dependency of farmers on extension staff are reduced, and indirectly minimizing the extension activity costs.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6818
DO  - 10.18517/ijaseit.8.4-2.6818