Rule-based expert system for detection of coffee rust warnings in colombian crops

Buitrón, Edwar Javier Girón; Corrales, David Camilo; Avelino, Jacques; Iglesias, José Antonio; Corrales, Juan Carlos

doi:10.3233/jifs-179025

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…For the development and implementation of this research work, the Buchanan methodology was selected, since it is based on a cascade life cycle, which is composed of five phases: identification, conceptualization, formalization, implementation, and validation. This methodology focuses on the acquisition of knowledge [22]. It is also characterized by the constant relationship between the engineer and the area expert.…”

Section: Buchanan Methodologymentioning

confidence: 99%

Expert Web System: Diagnosis of Visual Diseases

Gabriel-Gonzales

Andrade–Arenas

2022

Int. J. Onl. Eng.

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Sight is one of the senses with the greatest sup- port for our daily life because the brain receives 80% of the information visually. However, it is one of the most neglected senses in Latin America, mainly in Peru. This is because since that in this country the sense of sight is related to the second disability with the highest percentage. Thus, 76% of the visually impaired population lost their sight due to lack of treatment or lack of early detection of any visual disease. For this reason, the present research work originated, which has the purpose of designing and implementing an expert web system oriented to the welfare of the vulnerable population regarding visual diseases and the care of the sense of sight. Therefore, the Buchanan methodology was used for the development of this project, which contains 5 phases of development and planning. This methodology allowed the identification of viable requirements for the expert web system, as well as the study of detailed solutions and design. Thus, it allowed the development of an expert web system that complies with the eye care, through early diagnosis. Finally, as a result of the present research work, it was obtained that the expert web system meets 88% of satisfaction, the value obtained through a questionnaire to a sample of 60 people, including patients and specialists of the company called MK Optical Center.

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Section: Buchanan Methodologymentioning

confidence: 99%

Expert Web System: Diagnosis of Visual Diseases

Gabriel-Gonzales

Andrade–Arenas

2022

Int. J. Onl. Eng.

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“…1. Which is a methodology based on the cascade life cycle that was used in the beginnings of software engineering, with this it is deduced that the process of construction or development of the expert system will be carried out with a process of almost constant revision since this methodology follows the software (expert system) in its different phases [19] , which make a hierarchical life cycle; these are defined in 6 modules.…”

Section: A Stages Of the Methodologymentioning

confidence: 99%

Implementation of an Expert System for Automated Symptom Consultation in Peru

Torres¹,

Aponte²,

Andrade–Arenas³

2021

IJACSA

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The human being has a fragile life, and is attacked by different diseases throughout his life, neglecting or ignoring some of them because it is considered minimal, can be fatal, but many do not want to attend a health center, so they seek your symptoms on the Internet and finding pages with false information, that is the problem that we will address in this investigation. The objective of the research is to implement an expert system, creating a web page that provides real information when a user enters their symptoms. This was achieved based on the logic of rules developed in Prolog, so when a user fills out the created questionnaire, the expert system will follow. the rules to conclude with the desired diagnosis; all these steps were carried out using the buchanan methodology. The result was an improvement in the accessibility of truthful information through the Internet, facilitating the management of appointments of users if they have a serious illness, or the treatment in case of a minor illness. The beneficiaries of the research were the population that required the use of the automated query application.

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“…Max − Temp. Min, small (temperatures < 12), large (temperature > 12) Colombia [37] Monthly: minimum-maximum; annual: minimum average-maximum average Rwanda [45] Accumulated monthly (maximum, minimum, and average), seasonal period (accumulated minimum, accumulated maximum, average, monthly variation, seasonal variation and climatological variation) Guatemala [46] Daily minimum, daily maximum Papua New Guinea [47] Average daily maximum temperature, average daily minimum temperature Brazil [38] Monthly average, monthly minimum, monthly maximum, average temperature with relative humidity (>80%), average temperature with relative humidity (>90%) Brazil [39] Monthly average, monthly minimum, monthly maximum Brazil [40] Average, maximum temperature, average minimum and minimum temperatures (monthly, quarterly, seasons), average temperature with hours of relative humidity (>95% monthly, quarterly, seasons), maximum temperature hours with relative humidity (>95% monthly, quarterly, seasons) Brazil [41] Average daily temperature with relative humidity (>95%), average temperature of daily maximums, average temperature of daily maximums (incubation period), average daily temperature, average daily temperature (incubation period), average temperature of daily minimums, average temperature of daily minimums (incubation period) Brazil [42] Average daytime temperature relative humidity (>95%), average night temperature relative humidity (>95%)…”

Section: Ontological Knowledge Basementioning

confidence: 99%

“…Scenario 1: In the South American country of Colombia, list the meteorological variables considered in the computational models developed for coffee rust. According to the bibliographical review, the meteorological variables considered by the computational models of coffee rust in Colombia are Temperature, Shadow, Humidity, Precipitation, and Wind, which are used in [29,30,33,37] The following SPARQL query corresponds to the solution for Scenario 1: Table 10 shows the result of executing in RustOnt the query corresponding to Scenario 3. In addition, for the supported values of the Shadow variable, the attributes of each of the values can also be obtained through a SPARQL query as presented in Figure 7.…”

Section: Q3mentioning

confidence: 99%

RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust

Suárez

Griol

Figueroa

et al. 2022

Sensors

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Crop disease management in smart agriculture involves applying and using new technologies to reduce the impact of diseases on the quality of products. Coffee rust is a disease that factors such as poor agronomic management activities and climate conditions may favor. Therefore, it is crucial to identify the relationships between these factors and this disease to learn how to face its consequences and build intelligent systems to provide appropriate management or help farmers and experts make decisions accordingly. Nevertheless, there are no studies in the literature that propose ontologies to model these factors and coffee rust. This paper presents a new ontology called RustOnt to help experts more accurately model data, expressions, and samples related to coffee rust and apply it whilst taking into account the geographical location where the ontology is adopted. Consequently, this ontology is crucial for coffee rust monitoring and management by means of smart agriculture systems. RustOnt was successfully evaluated considering quality criteria such as clarity, consistency, modularity, and competence against a set of initial requirements for which it was built.

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Rule-based expert system for detection of coffee rust warnings in colombian crops

Cited by 9 publications

References 12 publications

Expert Web System: Diagnosis of Visual Diseases

Expert Web System: Diagnosis of Visual Diseases

Implementation of an Expert System for Automated Symptom Consultation in Peru

RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust

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