Optimization of Agrometeorological and Climatological Information to Reduce Risk Based on Spatial Data Agriculture

Charitas Fibriani
Charitas Fibriani
Satya Wacana Christian University

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Optimization of Agrometeorological and Climatological Information to Reduce Risk Based on Spatial Data Agriculture

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Abstract

Indonesia is an agricultural country that relies on the agricultural sector to support the lives of its people. The agricultural sector is dependent on climatic and weather conditions which often cause failure and success in farming. At this time the agriculture department has never conducted an analysis of climatology data to manage agricultural data so that it is difficult to analyze accurate data. For spatial analysis, climatological data is needed in spatial form. This journal will discuss the process of analyzing climatological spatial data, food security data and crop data of an area combined with the overlay method. So we get a rule related to the relationship between client data and plant data. The output of this journal is spatial-based climatology data modeling for climate visualization and agricultural commodities suitable for planting in certain regions and more accurate agrometeorological data.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Charitas Fibriani. 2020. \u201cOptimization of Agrometeorological and Climatological Information to Reduce Risk Based on Spatial Data Agriculture\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 20 (GJSFR Volume 20 Issue D2).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords
Classification
GJSFR-D Classification FOR Code: 070301
Version of record

v1.2

Issue date
April 13, 2020

Language
en
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Optimization of Agrometeorological and Climatological Information to Reduce Risk Based on Spatial Data Agriculture

Charitas Fibriani
Charitas Fibriani <p>Satya Wacana Christian University</p>

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