摘要
目前,养蚕生产面临劳动力紧张、设备陈旧、技术滞后、标准不一等问题,特别是管理养蚕环境和操作技术的方式仍然存在不足,因此不能满足产业化、智能化现代农业的发展需求。依托农业物联网实时记录、监控养蚕环境因子和家蚕生长发育状态,利用机器学习算法不断学习、训练得到一个预测模型,该模型可结合养蚕生产实景,能准确理解养蚕环境、家蚕生长发育状态和生产场景,实时调节环境因子、输出技术方案,能达到优质、高效、精准养蚕生产。
At present,sericulture production has the problems of labor shortage,obsolete equipment,obsolete technology and different standards,especially the ways of managing the environment and operating techniques for silkworm rearing.Therefore,sericulture production could not meet the development requirements of industrialization and intelligent modern agriculture.We relied on real-time recording of agricultural Internet of Things,monitored silkworm rearing environmental factors,growth and development status of silkworm,and finally obtained a prediction model by using machine learning algorithm to learning and training.Combining with silkworm rearing to produce real scene,this model could accurately understand the environment of sericulture,growth and development status of silkworm and production scene,adjust real time environmental factors and output technical solution,which could achieve high quality,efficient and accurate sericulture.
作者
孙孝龙
吴德余
徐森
施建军
SUN Xiao-long;WU De-yu;XU Sen(Yancheng Bioengineering Branch of Jiangsu Union Technical Institute,Yancheng,Jiangsu 224051;School of Information Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224007)
出处
《安徽农业科学》
CAS
2020年第23期260-262,共3页
Journal of Anhui Agricultural Sciences
基金
国家自然科学基金项目(61105057)
国家职业教育数字化资源共建共享计划(ZYWZ201101)
江苏省农业三新工程项目(SXGC〔2015〕187)。
关键词
机器学习
智能养蚕管理系统
系统设计
Machine learning
Intelligent sericulture management system
System design
