Abstract A series of studies on the technical architecture of intelligent system for agriculture domain is elaborated in this paper, including key technologies such as the expert system, knowledge representation, inference mechanism, knowledge acquisition, development platform, intelligent computing, machine learning, data mining, ontology, artificial life and their implementations to decision support, control, forecasting, retrieval , simulation in fertilization of crops, diagnosis and treatment of plant diseases and insect pests, cultivation, horticulture, livestock and aquaculture etc. It shows that application of intelligent and information technology into agricultural domain is of broad prospect.
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2012, Vol. 25 
