Development, Implementation, and Adoption of Expert Systems in Plant Pathology

Travis, and J W; Latin, Richard

doi:10.1146/annurev.py.29.090191.002015

Cited by 37 publications

(16 citation statements)

References 12 publications

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“…Dado o alto grau de heterogeneidade entre usuários, esta pode ser uma tarefa muito difícil. Inicialmente, a única opção era simplificar as questões tanto quanto possível, garantindo ao mesmo tempo que informações suficientes seriam coletadas para que o sistema funcionasse adequadamente [5,24,27,94,99,104,121]. À medida que recursos computacionais se tornaram mais abundantes, virtualmente todos os sistemas propostos começaram a associar imagens às questões a fim de reduzir a chance de confusão ( [104,105,111] e quase todos os sistemas propostos após 2008).…”

Section: Discussionunclassified

“…Algumas análises do estado da arte do uso de sistemas especialistas aplicados a problemas agrícolas podem ser encontradas na literatura [1,17,[74][75][76], sendo algumas poucas dedicadas especificamente a doenças em plantas [77,78].…”

Section: A Observações Iniciaisunclassified

“…Este projeto foi financiado pela Embrapa, projeto SEG 02.14.01.012.00.00. excessivamente genérica. A definição adotada neste trabalho combina aquelas propostas por Forsyth [4] e Travis e Latin [5]: sistemas especialistas são programas de computador que emulam a lógica e proficiência de um especialista humano na resolução de problemas, são limitados a um domínio específico, são projetados para crescer de maneira incremental, são capazes de fornecer recomendações na sua saída, e são capazes de trazer vantagens financeiras para o usuário. A definição original proposta por Forsyth também colocava que sistemas especialistas são capazes de lidar com dados incertos, são capazes de explicar sua cadeia lógica de maneira compreensível, e são baseados em regras.…”

Section: Introductionunclassified

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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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Section: Discussionunclassified

Section: A Observações Iniciaisunclassified

Section: Introductionunclassified

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

Barbedo

2016

IEEE Latin Am. Trans.

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“…For readers who are interested in diagnostic expert systems for diagnosing plant diseases, Travis and Latin (1991) briefly reviewed several diagnostic expert systems in plant pathology, including PLANT/ed, Apple Pest and Disease Diagnosis, CALEX/Peaches, Muskmelon disorder management system, and Penn State Apple Orchard Consultant, in "Development, Implementation, and Adoption of Expert Systems in Plant Pathology. "…”

Section: Expert Systems In Plant Pathologymentioning

confidence: 99%

Case Detection Algorithms

Tsui

Wagner

Espino

et al. 2006

Handbook of Biosurveillance

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“…Expert systems have been applied in agriculture from 1980s [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Most of them are developed for crop production and pest management [21][22][23][24][25][26], animal husbandry and aquaculture [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

TPPADS: An Expert System Based on Multi-branch Structure for Tianjin Planting Pest Assistant Diagnosis

Bai

Huang

et al. 2011

Computer and Computing Technologies in Agriculture IV

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At present, green plants exist in all aspects of our lives. And statistics shows that the pest species of green plants is very large. Thus accurate and rapid diagnosis is regarded as an essential component of green plant protection. Moreover, we couldn't find relevant information easily. That is why pest diagnosis is difficult and inefficient for technicians and farmers. In view of the above, the expert systems have been widely used in pest identification. However, most of traditional expert systems for assistant diagnosis of green plant pests are based on dichotomous structure. They are not flexible enough and only equal the electronic dichotomous keys. Compared with dichotomous structure, the system based on multi-branch structure has more advantages for accurate and rapid diagnosis. This paper describes the design and development of a web-based green plant pest expert system as part of Tianjin science and technology cooperation project. Based on user needs, Tianjin Planting Pest Assistant Diagnosis System (TPPADS) was developed with ASP.NET, C# and Microsoft SQL server 2008 database. It can show many features simultaneously. Meanwhile, data maintaining is also very easy and simple as same as the Microsoft Windows Explorer. The system included about more than 300 species of green plant pests. Diagnosis knowledge was obtained from Tianjin Institute of Plant Protection. TPPADS can be used as a diagnosis tool and information database both for plant protection professionals and farmers. We believe its application prospect should be well.

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Development, Implementation, and Adoption of Expert Systems in Plant Pathology

Cited by 37 publications

References 12 publications

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

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

Case Detection Algorithms

TPPADS: An Expert System Based on Multi-branch Structure for Tianjin Planting Pest Assistant Diagnosis

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