Mangifera Indica L. diagnostic system (MILDS)
The Mangifera Indica L. Diagnostic System is a web based expert system that is developed to diagnose the symptoms of mango and determines its diseases.Mango crops are very sensitive that are many type of diseases attacked this crop. This expert system has found ten types of mango diseases. With the...
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Online Access: | http://umpir.ump.edu.my/id/eprint/4299/ http://umpir.ump.edu.my/id/eprint/4299/ http://umpir.ump.edu.my/id/eprint/4299/1/NUR_SHAZWANI_BINTI_MD_AKHIR.PDF |
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ump-42992015-03-03T09:18:17Z http://umpir.ump.edu.my/id/eprint/4299/ Mangifera Indica L. diagnostic system (MILDS) Nur Shazwani, Md. Akhir QA Mathematics The Mangifera Indica L. Diagnostic System is a web based expert system that is developed to diagnose the symptoms of mango and determines its diseases.Mango crops are very sensitive that are many type of diseases attacked this crop. This expert system has found ten types of mango diseases. With the useful information provided that are the symptoms, this system helped the users to get to know the mango diseases in details.For developing this system, a web based application has been made for diagnose mango diseases.The problem occurs due to this diseases was the lack of skill in detecting the symptoms in short time.The farmers known to be the non-expert users that always having the problem in identifying the diseases.Because of the late of determining the problem,late prevention also make the management was handled in worst way.Hence,this system was developed to detect and determine the kind of disease in a very short time and quick prevention will take place to manage the problem. A rule based expert system has been applied in this system that act as expertise in this area.The knowledge system diagnoses the related symptom and overcome the result base on the matching facts. 2011-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4299/1/NUR_SHAZWANI_BINTI_MD_AKHIR.PDF Nur Shazwani, Md. Akhir (2011) Mangifera Indica L. diagnostic system (MILDS). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:67702&theme=UMP2 |
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Universiti Malaysia Pahang |
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English |
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QA Mathematics |
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QA Mathematics Nur Shazwani, Md. Akhir Mangifera Indica L. diagnostic system (MILDS) |
description |
The Mangifera Indica L. Diagnostic System is a web based expert system that is developed to diagnose the symptoms of mango and determines its diseases.Mango crops are very sensitive that are many type of diseases attacked this crop. This expert system has found ten types of mango diseases. With the useful information provided that are the symptoms, this system helped the users to get to know the mango diseases in details.For developing this system, a web based application has been made for diagnose mango diseases.The problem occurs due to this diseases was the lack of skill in detecting the symptoms in short time.The farmers known to be the non-expert users that always having the problem in identifying the diseases.Because of the late of determining the problem,late prevention also make the management was handled in worst way.Hence,this system was developed to detect and determine the kind of disease in a very short time and quick prevention will take place to manage the problem. A rule based expert system has been applied in this system that act as expertise in this area.The knowledge system diagnoses the related symptom and overcome the result base on the matching facts. |
format |
Undergraduates Project Papers |
author |
Nur Shazwani, Md. Akhir |
author_facet |
Nur Shazwani, Md. Akhir |
author_sort |
Nur Shazwani, Md. Akhir |
title |
Mangifera Indica L. diagnostic system (MILDS) |
title_short |
Mangifera Indica L. diagnostic system (MILDS) |
title_full |
Mangifera Indica L. diagnostic system (MILDS) |
title_fullStr |
Mangifera Indica L. diagnostic system (MILDS) |
title_full_unstemmed |
Mangifera Indica L. diagnostic system (MILDS) |
title_sort |
mangifera indica l. diagnostic system (milds) |
publishDate |
2011 |
url |
http://umpir.ump.edu.my/id/eprint/4299/ http://umpir.ump.edu.my/id/eprint/4299/ http://umpir.ump.edu.my/id/eprint/4299/1/NUR_SHAZWANI_BINTI_MD_AKHIR.PDF |
first_indexed |
2023-09-18T21:58:47Z |
last_indexed |
2023-09-18T21:58:47Z |
_version_ |
1777414258505547776 |