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| Registros recuperados: 14 | |
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| SILVA, F. C. da; MASSRUHÁ, S. M. F. S.; DEUS, R. S. de; SANTOS, A. D. dos; BARBIERI, V.; CRUZ, S. A. B. da; MALAVOLTA, E.. |
| This paper presents a web-based expert system for diagnosis of plant nutrient disorders in sugarcane. This system aims to provide a guide to identification of essential and functional plant nutrient disorders in sugarcane to avoid deficiency and to solve nutritional problems arising from the development of this culture. It is directed toward the sugarcane farmer, research scientist, extension specialist, student, and consultant. The first version of system was developed using the virtual diagnosis framework developed by Embrapa and CENA/USP. The adopted development methodology and the current status of the system for diagnosis of nutritional deficiency in sugarcane are discussed in this paper. The experience acquired in the development of this expert... |
| Tipo: Artigo de periódico |
Palavras-chave: Sistema especialista para internet; Deficiência nutricional em cana-de-açúcar; Inteligência artificial; Inferência dedutiva; Sugarcane; Expert systems; Artificial intelligence; Saccharum. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/897665 |
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| Mohamed Samer; Cairo University, Faculty of Agriculture, Department of Agricultural Engineering; Mohamed Hatem; Hartmut Grimm; Reiner Doluschitz; Thomas Jungbluth. |
| Eleven simulation models were developed to plan and design several dairy farm facilities. Subsequently, an electronic spark map (decision tree) was developed for each simulation model, and then the simulation models were integrated into the relevant spark maps. Afterwards, C# language (C Sharp), which is an object-oriented programming language, was used to develop an expert system via the simulation models and the electronic spark maps. The developed expert system is able to plan and design several dairy farm facilities, e.g. housing system (corrals system), shade structure and roof material, concrete base, cooling system, milking parlour, forage storage, and manure handling system. Subsequently, it plans the farmstead layout, and it leads to implement... |
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Palavras-chave: Expert systems; Simulation models; Spark maps; Precision livestock farming; Dairy cows. |
| Ano: 2012 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2088 |
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| BARBEDO, J. G. A.. |
| ABSTRACT. Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives. In this context, this paper presents the most recent advances in research subjects such as expert systems applied to fish disease diagnosis, computer vision applied to aquaculture,... |
| Tipo: Artigo de periódico |
Palavras-chave: Sistemas especialistas; Processamento de imagem digital; Doenças em peixes.; Automação; Aquicultura.; Expert systems; Image analysis; Aquaculture; Automation; Fish diseases. |
| Ano: 2014 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/986333 |
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| LEITE, J. P.; SILVA, F. C. da; MASSRUHÁ, S. M. F. S.. |
| Neste trabalho é apresentada e discutida a nova plataforma do módulo de diagnóstico de doenças (módulo produtor) do sistema Diagnose Virtual que foi desenvolvida para integrar ao portal WebAgritec. No sistema, que já possuía as desordens nutricionais visuais na cana-de-açúcar, foram introduzidas novos sintomas fitopatológicos de ocorrência em canaviais. Desta forma, está adaptando-se o software Diagnose Virtual para realizar o diagnóstico de doenças on-line e de deficiência nutricional, ou seja, " via internet" . Tal software possui uma infraestrutura única na área de sanidade para diagnóstico de doenças de plantas via internet, a fim de subsidiar os agricultores, agrônomos e técnicos agrícolas em suas decisões sobre o manejo de doenças. Visa possibilitar... |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Sistema especialista; Inteligência computacional; Doença de plantas; Software.; Expert systems; Plant diseases and disorders.. |
| Ano: 2012 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/933199 |
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| Registros recuperados: 14 | |
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