Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial Di Kabupaten Jeneponto

Laode Muhamad Irsan, Rahma Musyawarah, Amniar Ati
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Abstract

Jeneponto Regency is one of the biggest corn producers in South Sulawesi. Jeneponto Regency is the most suitable area for estimating corn crop production because it is the largest corn-producing region in South Sulawesi Province and has quite complex terrain variations. Agricultural management requires accurate and accurate information or data that can increase productivity and economic benefits. Get accurate and up-to-date data or information about parts of an accurate agricultural information system to support proper planning. The purpose of this study is to map climatic conditions (rainfall) and physical conditions (slope, height, soil type) and to estimate the amount of corn production and maize production maps through spatial assessment. This research was conducted in the Jeneponto Regency, which is located in the southern part of the South Sulawesi Province. The results of the study show that spatial ecology based on agro-ecosystem zones or agricultural unit units in the estimation of special maize production can increase estimation results with high accuracy. Based on the analysis of the four physical maps that have been mapped are rainfall, soil type, slope, and height which are regulated in the agro-ecosystem zone, the estimated amount with spatial ecological calculations is 159.584,05 tons. The accuracy of the estimation model results with field data reaches 95%. Based on the results of the study can conclude the results of spatial ecological research can be used as a method of estimating production on corn.
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Jeneponto Regency是南苏拉威西最大的玉米生产商之一。Jeneponto Regency是估算玉米作物产量最合适的地区,因为它是南苏拉威西省最大的玉米产区,而且地形变化非常复杂。农业管理需要准确和准确的信息或数据,可以提高生产力和经济效益。获取精确农业信息系统各部分的准确和最新数据或信息,以支持适当的规划。本研究的目的是绘制气候条件(降雨)和物理条件(坡度、高度、土壤类型)图,并通过空间评价估算玉米产量和玉米生产图。这项研究是在位于南苏拉威西省南部的Jeneponto摄政区进行的。研究结果表明,基于农业生态系统带或农业单位单元的空间生态学在特种玉米产量估算中可以提高估算结果的准确性。通过对已绘制的农业生态系统降雨、土壤类型、坡度、高度4个物理图的分析,经空间生态计算,估算出该区域的耕地总量为159.584.05万吨。该模型与现场数据的估计精度达到95%。研究结果表明,空间生态研究结果可作为玉米产量估算的一种方法。
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发文量
11
审稿时长
8 weeks
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