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首页> 外文会议>UKSim-AMSS 6th European Modelling Symposium. >Prediction Model for Chilli Productivity Based on Climate and Productivity Data
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Prediction Model for Chilli Productivity Based on Climate and Productivity Data

机译：基于气候和生产力数据的辣椒生产力预测模型

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摘要

The global trade increases the competition in agricultural product export all around the world. The Indonesian Agricultural Industry needs to improve their competitiveness by fulfilling the requirements and restrictions imposed by some countries with regards to trace ability information features of the products, such as location of farming field cultivation method, chemical contaminants and supply chain information. Some European countries require the implementation of E-GAP (European Good Agricultural Practices) in order to secure food safety. Food safety provides the control and monitoring during, pre-, and post-harvest stages of agricultural products. This paper describes a prediction model based on the climate and productivity data on Indonesian agricultural products. The prediction model with an iteration of the climate and their possible increase or decrease in productivity. The model relies on historical data and an analytical algorithm. The decision support and early warning system provides the farmer some advice to reduce the crop failure risks due to climate change.
机译：全球贸易增加了全世界农产品出口的竞争。印度尼西亚农业工业需要通过满足某些国家对产品的追溯能力信息特征（例如耕地种植方法的位置，化学污染物和供应链信息）施加的要求和限制来提高竞争力。一些欧洲国家要求实施E-GAP（欧洲良好农业规范）以确保食品安全。食品安全在农产品的收获前，收获前和收获后阶段提供控制和监视。本文介绍了基于印尼农产品的气候和生产力数据的预测模型。具有气候迭代及其生产率可能提高或降低的预测模型。该模型依赖于历史数据和解析算法。决策支持和预警系统为农民提供了一些建议，以减少由于气候变化造成的农作物歉收风险。

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