Abstract
Abstract
The purpose of this research is to build a model of precision agriculture to increase the productivity of medium and small-scale agriculture in Indonesia. This research used a descriptive method by conducting a literature study on the concept of precision agriculture and analysis of data related to agriculture in Indonesia. Extreme weather changes in Indonesia have an impact on the decline in agricultural production. While an understanding of environmental conditions is the primary key to agriculture, this research explained what data is needed in precision agriculture, how to obtain and process data, also explained how to visualize information through geographic information systems. This research also conducted an assessment of the built model. The assessment process is implemented by analysing the suitability of the model based on farmers’ needs. The results of this study concluded that the model can be developed in the implementation phase. This research is expected to provide a clear explanation of the system requirements and also can reduce risk at the system development and implementation stage.
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6 articles.
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