An Expertise Model for Therapy Planning Using Abductive Reasoning

Túnez, Samuel; Cano, Isabel María Del Águila; Marín, Rafael Luis Hernández

doi:10.1080/019697201753229827

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…2 describes and classifies businesses, but we also used it to determine the software system goal to be developed, focusing on those processes or tasks that needed expert support in order to be carried out. Related to the decision of Advise and execute treatment, this has already been solved (Túnez et al, 2001), when only pesticides are used to solve PCOP. Therefore, the goal of Web-Pest is the Estimate pest risk task (in grey) in Fig.…”

Section: Materials and Methodologymentioning

confidence: 99%

“…Based on these problem features, PCOP is formulated by extending an earlier notation (Plant, 1989) for the definition of the information managed during the decision process, and including the algebraic description of the treatment problem (Túnez et al, 2001):…”

Section: Pest Control Problemmentioning

confidence: 99%

“…To deal with the above problem, experts use a one-crop/one-pest approach (Léger & Naud, 2009;Túnez et al, 2001) solving each elemental problem (one pest, one crop) independently. When more than one pest affects a plot, they assemble elemental solutions in order to obtain a full solution for PCOP.…”

Section: Pest Control Problemmentioning

confidence: 99%

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Decision making models embedded into a web-based tool for assessing pest infestation risk

Cano

Cañadas

Túnez

2015

Biosystems Engineering

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Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwoven agricultural, technological, environmental, legal and economic factors. In this context, decision support systems and the knowledge models that support them, enable the incorporation of valuable experience into software systems providing support to agricultural technicians to make rapid and effective decisions for efficient crop growth. Pest control is an important issue in agricultural management due to crop yield reductions caused by pests and it involves expert knowledge. This paper presents a formalisation of the pest control problem and the workflow followed by agricultural technicians and farmers in integrated pest management, the crop production strategy that combines different practices for growing healthy crops whilst minimising pesticide use. A generic decision schema for estimating infestation risk of a given pest on a given crop is defined and it acts as a metamodel for the maintenance and extension of the knowledge embedded in a pest management decision support system which is also presented. This software tool has been implemented by integrating a rule-based tool into web-based architecture. Evaluation from validity and usability perspectives concluded that both agricultural technicians and farmers considered it a useful tool in pest control, particularly for training new technicians and inexperienced farmers.

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Section: Materials and Methodologymentioning

confidence: 99%

Section: Pest Control Problemmentioning

confidence: 99%