Data/hora: 13/06/2024 09:59:04

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 02/09/1997
Data da última atualização: | 16/01/2012
Autoria: | RHYKERD, L. M.; RHYKERD, R. L.; ENGEL, B. A.; RHYKERD, C. L.
Título: | Use of knowledge engineering to maximize forage production of Medicago sativa L.
Ano de publicação: | 1992
Fonte/Imprenta: | In: INTERNATIONAL CONFERENCE, 4., 1992, Orlando. Computers in agricultural extension programs: proceedings. St. Joseph, MI: ASAE, 1992.
Páginas: | p. 165-170.
Idioma: | Inglês
Conteúdo: | A prototype alfafa (Medicago sativa L.) management CLIPS (C Language Integrated Production System) expert system has been developed by Purdue University agricultural scientists. This form of artificial intelligence provides an extension tool which will enable farmers to very economically use a computer program to reach conclusions concerning profitable alfafa production that normally would require consultation with a forage expert. To date, the management considerations and the sequence in which they were built into the knowledge base are: soil drainage, soil pH, soil P test, use of alfafa crop, chemical weed control, expected longevity of stand, variety recommendation, method and rate of seeding and pure live seed. The knowledge base of this CLIPS expert system can easily be updated as new information becomes available or can be modified for use in other states or farming regions.
Palavras-Chave: | Inteligência artificial; Sistema especialista.
Thesagro: | Alfafa; Medicago Sativa; Programa de Computador.
Thesaurus Nal: | Computer software; Expert systems.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (5356-1) - ADD - PL - PP - 630.285 - INT - 1997.00027 - DIS