Open AccessRice crop management expert system with forwarding chaining method and certainty factor
Author(s) -
Kharisma,
Kusworo Adi,
R. Rizal Isnanto
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1524/1/012037
Subject(s) - expert system , forward chaining , production (economics) , agriculture , selection (genetic algorithm) , sustainability , integrated pest management , agricultural science , service (business) , agroforestry , business , computer science , agricultural engineering , microbiology and biotechnology , engineering , agronomy , marketing , biology , artificial intelligence , ecology , economics , macroeconomics
Rice plants are one of the focuses on food sustainability so that an increase in rice production needs to be done. Farmers need information and knowledge to improve rice crop production by practicing good planting methods that begin with the selection of superior varieties of seeds and handling plant pests properly. The problem that arises is that assistance from agricultural specialists is not always available when farmers need it, making it difficult for farmers to consult experts according to their needs at any time. Therefore, in this study, an expert system was proposed which was able to help farmers to obtain information according to their needs. This research builds an expert system for the management of rice plants including the selection of rice seed varieties and handling pests of rice plants. The method used in this expert system is forward chaining and certainty factor. Knowledgebase data was obtained from experts in agricultural extension, experts on plant pest organisms and literature from the agricultural service. From this study, an expert system was produced that was able to provide information on the selection of seed varieties and pest of rice plants according to the conditions and needs of the users.