【摘要】 为进一步推进智能农业大数据产业的健康有序发展,减少农业领域在生产、销售等环节中的风险因素,确保农业生产者、销售者的最大利益。通过详细分析农业大数据中的核心问题,以云南省鲜切花产业为研究对象,拟采用人工神经网络算法分别构建鲜切花价格预测模型群、鲜切花质量等级识别模型群,将鲜切花价格预测模型群嵌入云平台中,以低廉的价格提供给需求者;将鲜切花质量等级识别模型群应用于鲜切花等级分类的流水线,方便快捷的进行智能化分类。整个研究引入了智能算法,将智能与农业进行有机的结合,为农业大数据中心的发展提供参考依据。更多还原

【Abstract】 In order to further promote the healthy and orderly development of big data industry in intelligent agriculture,reduce the risk factors in the field of agriculture in production,sales and so on,and ensure the best interests of agricultural producers and sellers.Through the detailed analysis of the core problems in agricultural big data,taking the fresh cut flower industry in Yunnan Province as the research object,the artificial neural network algorithm was used to construct the fresh cut flower price prediction model group and the fresh cut flower quality grade identification model group respectively.The fresh cut flower price prediction model group was embedded in the cloud platform and provided to the demanders at a low price.The recognition model group of fresh cut flower quality grade was applied to the flow line of fresh cut flower grade classification,and the intelligent classification was carried out conveniently and quickly.In this paper,the intelligent algorithm was introduced,and the intelligence and agriculture were combined organically,which provided a reference for the development of agricultural big data center.更多还原