Plant Selection System

Mutalib, Sofianita; Azlan, Nik Mastura Nik Ismail; Yusoff, Marina; Rahman, Shamsinar; Mohamed, Azlinah

doi:10.1109/iccsa.2008.33

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…We consider representing the knowledge in the form of rules which is the most simple and convenient. It takes the form of the conventional If-then statement used in the programming languages [6] [7]. …”

Section: Knowledge Representationmentioning

confidence: 99%

Design and Development of Fuzzy Expert System for Integrated Disease Management in Finger Millets

Roseline¹,

Tauro²,

Ganesan³

2012

IJCA

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Expert system -a branch of Artificial Intelligence is a collection of programs which has the ability to reason, justify and answer the queries in a particular domain as a human expert would do. It can be applied to various fields. Expert system in agriculture is gathering momentum and this paper aims at tackling the control and remedial measures for disease management for the staple food crop of Karnataka -Finger Millets popularly known as Ragi. The introduction section consists of contributions of expert systems in agriculture. The second section explains the process in Integrated Disease Management (IDM).The third section is about knowledge engineering process which consists of knowledge acquisition and knowledge representation. The fourth section is about the application of fuzzy logic in IDM. The fifth section briefs about defuzzification of IDM.

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Section: Knowledge Representationmentioning

confidence: 99%

Design and Development of Fuzzy Expert System for Integrated Disease Management in Finger Millets

Roseline¹,

Tauro²,

Ganesan³

2012

IJCA

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Advisory system architecture in agricultural environment to support decision making process

Kassim¹,

Abdullah²

2012

2012 Second International Conference on Digital Information and Communication Technology and It's Applications (DICTAP)

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The aim of this paper is to proposed software architecture for ontology-driven advisory systems. The architecture reflects the situation in our current agricultural advisory systems where farmers as a client request an advice from the experts to help them in decision making process in their cultivating. The architecture consists of three components, users, module and knowledge/database. Each component complies with the basic process in advisory systems, knowledge acquisition, cognition, and interface. The architecture embeds three approaches in this systems, personalization, knowledge management and ontology. In semantic web architecture all information is spread over the Internet. By using these technologies, we can easily share and reused the information via Internet.Keywords-Advisory system, decision making process in agricultural, ontology-driven system, semantic web, knowledge modeling, processes in advisory system

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Application of expert systems for agricultural crop disease diagnoses — A review

Deepthi¹,

Sreekantha²

2017

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)

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Plant Selection System

Cited by 3 publications

References 3 publications

Design and Development of Fuzzy Expert System for Integrated Disease Management in Finger Millets

Design and Development of Fuzzy Expert System for Integrated Disease Management in Finger Millets

Advisory system architecture in agricultural environment to support decision making process

Application of expert systems for agricultural crop disease diagnoses — A review

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