An expert system for diagnosis of pests, diseases, and disorders in apple crops

Kemp, Ray; Stewart, T. M.; Boorman, A.

doi:10.1080/01140671.1989.10428014

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Diagnosis can only be made based on the symptoms that have been observed [5]. User usually only know the common symptoms such as leaf color change, fall of leaf / fruit and the system must be able to explain this phenomenon by considering all causes [6]. The cause of the symptoms that occur may be more than one so that it appears uncertain.…”

Section: Resultsmentioning

confidence: 99%

Expert System For Diagnosis Pest And Disease In Fruit Plants

Dewanto

Lukas

2014

EPJ Web of Conferences

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Abstract. This paper discussed the development of an expert system to diagnose pests and diseases on fruit plants. Rule base method was used to store the knowledge from experts and literatures. Control technique using backward chain and started from the symptoms to get conclusions about the pests and diseases that occur. Development of the system has been performed using software Corvid Exsys developed by Exsys company. Results showed that the development of this expert system can be used to assist users in identifying the type of pests and diseases on fruit plants. Further development and possibility of using internet for this system are proposed.

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Section: Resultsmentioning

confidence: 99%

Expert System For Diagnosis Pest And Disease In Fruit Plants

Dewanto

Lukas

2014

EPJ Web of Conferences

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“…Dalam persamaan CF kombinasi, akan membentuk sebuah base pembelajaran baru pada setiap kaidah dalam diagnosa yang sudah di beri tingkat kepastian dari setiap gejala yang diindikasikan. Maka apabila diberi tingkat kepastian dari oleh Pakar maupun User otomatis sistem akan menentukan hasil diagnosa [11,12]. Proses perhitungan CF kombinasi sebagai berikut.…”

Section: Analisa Dataunclassified

Sistem Pakar Diagnosa Kerusakan VGA dengan Metode Certainty Factor dan Algoritma K-Nearest Neighbor (K-NN)

Effendi

Andryana

Sari

2020

jtik

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VGA (Video Graphics Array) is a Video adapter which is very useful for improving the performance and quality of the visual process on a computer, but sometimes there is often a malfunction that cannot be identified the type of damage. The problem is the lack of media to identify the damage that occurs during visual processing. Therefore, the authors created an expert system that can diagnose the type of damage to VGA using the Certainty Factor method as a calculation, using UML modeling as the work process flow of the system on the website, and also equipped with the KNN (K-Nearest Neighbor) algorithm as machine learning. so that it can build an expert system with the PHP programming language MySQL database. The method used in testing is the black box method in testing the system used. The results that can be concluded from this study are; 1) The diagnostic system for detecting damage to the VGA uses the K-Nearest Neighbor Algorithm as machine learning and the Certainty Factor Method as a calculation medium in determining the distance from the type of damage and has suggestions for further actions to deal with and prevent the damage from occurring and also has other possible damage things that are similar to the damage suffered can be accessed quickly and easily to understand, in making scientific research carried out sequentially to facilitate the process, and 2) In addition to diagnosing, there are several additional menus that can be accessed such as the Prediction menu which functions to displays the max and min limits of the temperature of a product, Product Info which functions as a quality product recommendation, and a description that contains a post of details of the damage that can be studied and is expected to help users find solutions to their problems.Keywords:Expert System, PHP, Certainty Factors, Machine learning, K-NN.

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“…Macieiras foram também o alvo de Kemp et al [86]. O sistema foi implementado em Prolog e, de acordo com os autores, uma de suas principais vantagens foi a clara separação, na base de conhecimento, do conhecimento heurístico e conhecimento genérico do mundo real.…”

Section: B Revisão Da Literaturaunclassified

Expert Systems Applied to Plant Disease Diagnosis: Survey and Critical View

Barbedo

2016

IEEE Latin Am. Trans.

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Expert systems have been applied to solve agricultural problems for some time. The complexities involved in plant disease diagnosis make this problem a prime candidate for the application of expert systems. Those same complexities, however, make the development of a viable system a very challenging task. Many attempts at creating such tools have been reported in the literature, with different scopes and degrees of success. This article had the objective of organizing all the information that has been published on the subject in the last four decades by presenting a brief individual description of each proposed system, and then condensing all the information into a critical analysis of how the problem was handled in the past, how it evolved into the current scenario, and which are the possible directions to be explored in the future.

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An expert system for diagnosis of pests, diseases, and disorders in apple crops

Cited by 5 publications

References 3 publications

Expert System For Diagnosis Pest And Disease In Fruit Plants

Expert System For Diagnosis Pest And Disease In Fruit Plants

Sistem Pakar Diagnosa Kerusakan VGA dengan Metode Certainty Factor dan Algoritma K-Nearest Neighbor (K-NN)

Expert Systems Applied to Plant Disease Diagnosis: Survey and Critical View

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