农业智能知识系统的概念建模:以印尼为例

2018 International Conference on Electrical Engineering and Computer Science (ICECOS) Pub Date : 2018-10-01 DOI:10.1109/ICECOS.2018.8605249

Sarifah Putri Raflesia, A. K. Pamosoaji, S. Nurmaini, Firdaus, Dinda Lestarini

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引用次数: 2

摘要

农业是印尼经济增长的支柱。它推动了农业信息和知识需求的增加。为了在战略层面为农民提供信息和知识支持，提出了农业智能知识系统的概念模型。概念模型结合了地理围栏技术，以确保农民的信息可用性，并结合了机器学习，为战略决策过程提供知识，以提高农业部门的绩效。

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Conceptual Modeling for Intelligent Knowledge-Based System in Agriculture: Case Study of Indonesia

Agriculture is a pillar for economic growth in Indonesia. It drives the needs of agricultural information and knowledge increase. In order to provide information for farmers and knowledge to support the decision-making process in strategic level, the conceptual modeling for the intelligent knowledge-based system in agriculture is proposed. The conceptual model combines the geo-fencing technique to ensure the availability of information for farmers and machine learning to provide the knowledge for the strategic decision-making process in order to improve agricultural sector performance.

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2018 International Conference on Electrical Engineering and Computer Science (ICECOS)

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