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.

How to Cite
FIBRIANI, Charitas. Optimization of Agrometeorological and Climatological Information to Reduce Risk Based on Spatial Data Agriculture. Global Journal of Science Frontier Research, [S.l.], apr. 2020. ISSN 2249-4626. Available at: <https://journalofscience.org/index.php/GJSFR/article/view/2629>. Date accessed: 15 aug. 2020.