Rice crop management expert system with forwarding chaining method and certainty factor

Author:

Kharisma ,Adi K,Isnanto R R

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of forward chaining methods and certainty factors to diagnose children’s allergic diseases;AIP Conference Proceedings;2024

2. Expert system using certainty factors of stunting (nutrition disorders) in toddlers: A proposed concept;3RD INTERNATIONAL CONFERENCE OF BIO-BASED ECONOMY FOR APPLICATION AND UTILITY;2023

3. Detection pests system for Local Mayas Rice Plant East Kalimantan using Dempster Shafer;2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2021-12-16

4. An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation;Applied Sciences;2021-11-07

5. Application of Artificial Intelligence in Food Industry—a Guideline;Food Engineering Reviews;2021-08-09

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