TY - CHAP
T1 - Managing expert knowledge to assist in the management of coffee pests and diseases in Jamaica.
AU - Mansingh, Gunjan
AU - Osei-Bryson, Kweku-Muata
AU - Reichgelt, Han
AU - Reichgelt, Johannes (Han)
N1 - Mansingh, G., Reichgelt, H. & Osei-Bryson, K.-M. (2014). Managing expert knowledge to assist in the management of coffee pests and diseases in Jamaica. In K.-M. Osei-Bryson, G. Mansingh, & L. Rao, (Eds.), Knowledge management for development: Domains, strategies and technologies for developing countries. (pp: 43-56). New York: Springer. doi: 10.1007/978-1-4899-7392-4
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The recent focus on knowledge-based economies brings to the forefront the importance of knowledge in developing nations. The capability to harness and manage knowledge has become essential and the Knowledge Management community has been developing technologies and applications to aid this process. Sustainable agriculture and environmental concerns have led to the emergence of the Integrated Management of Pest and Pesticides as a new way to deal with pests and pesticides in agriculture. In this chapter we present the architecture of an expert system CPEST and identify the knowledge types that are necessary to build such systems. CPEST incorporates different types of knowledge, i.e. the know-with, the know-how, know-when, know-about which exists in multiple experts and data sources to assist with the decision making process. The system is evaluated for its accuracy, ease of use, and effectiveness of its recommendations in the promotion of practices less damaging to the environment.
AB - The recent focus on knowledge-based economies brings to the forefront the importance of knowledge in developing nations. The capability to harness and manage knowledge has become essential and the Knowledge Management community has been developing technologies and applications to aid this process. Sustainable agriculture and environmental concerns have led to the emergence of the Integrated Management of Pest and Pesticides as a new way to deal with pests and pesticides in agriculture. In this chapter we present the architecture of an expert system CPEST and identify the knowledge types that are necessary to build such systems. CPEST incorporates different types of knowledge, i.e. the know-with, the know-how, know-when, know-about which exists in multiple experts and data sources to assist with the decision making process. The system is evaluated for its accuracy, ease of use, and effectiveness of its recommendations in the promotion of practices less damaging to the environment.
KW - Expert systems
KW - Knowledge base systems
KW - Knowledge types
KW - Coffee pests
KW - Coffee diseases
KW - Developing countries
KW - Agriculture
UR - https://digitalcommons.usf.edu/fac_publications/2066
UR - https://login.ezproxy.lib.usf.edu/login?url=http://usf.catalog.fcla.edu/permalink.jsp?24SF032616740
M3 - Chapter
BT - Managing expert knowledge to assist in the management of coffee pests and diseases in Jamaica.
ER -