Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree
| العنوان: | Dr.LADA: Diagnosing Black Pepper Pests and Diseases with Decision Tree |
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| المؤلفون: | Angela Tida, Pei Ee Kho, Afzan Adam, Kevin Muyang Tawie, Shafinah Kamarudin, Hazura Mohamad, Yi Shang Chen, Noraidah Sahari |
| المصدر: | International Journal on Advanced Science, Engineering and Information Technology. 8:1584 |
| بيانات النشر: | Insight Society, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | business.product_category, General Computer Science, Java, 010308 nuclear & particles physics, Computer science, General Engineering, Decision tree, 01 natural sciences, 0103 physical sciences, Pepper, Chaining, Internet access, Production (economics), Operations management, Android (operating system), Inference engine, General Agricultural and Biological Sciences, business, computer, computer.programming_language |
| الوصف: | 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. |
| تدمد: | 2460-6952 2088-5334 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::42227d206a61f346e43c935a7ed349c8 https://doi.org/10.18517/ijaseit.8.4-2.6818 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........42227d206a61f346e43c935a7ed349c8 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 24606952 20885334 |
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