The routine monitoring of livestock and poultry products is the monitoring work carried out by the Ministry of Agriculture in order to grasp the quality and safety of national livestock and poultry products,and the sa...The routine monitoring of livestock and poultry products is the monitoring work carried out by the Ministry of Agriculture in order to grasp the quality and safety of national livestock and poultry products,and the sampling work is the first part of routine monitoring. This paper analyzes various factors during the implementation of sampling work such as preparatory work,sampling tools,sampling process,pretreatment,packaging,transfer,storage conditions and sample delivery. Carrying out the effective quality control can help to ensure the impartiality of the test results so as to provide reliable scientific basis for the department to study regulatory measures.展开更多
Poultry behavior monitoring is an important basis for the poultry disease warning.Manual monitoring is mostly used nowadays.In this work,the automatic monitoring system for assisting manual monitoring was examined.Sop...Poultry behavior monitoring is an important basis for the poultry disease warning.Manual monitoring is mostly used nowadays.In this work,the automatic monitoring system for assisting manual monitoring was examined.Sophisticated data mining techniques were used to leverage the data collected by RFID devices.Specifically,(1)weighing sensors and wireless networks of Multiple RFID-tag-collector groups were used to monitor the poultry behavior;(2)RFID tags were putted on individual poultry so that the moving time of the poultry between two RFID-tag-collectors could be recorded.Thus,the characteristic functions of poultry behaviors such as speed,ability to snatch food and resting time could be extracted based on the distance between two RFID-tag-collectors and the relevant time parameters;(3)the sick,normal,active and other poultry groups were categorized by using the K-means method which utilizing the behavior characteristics and poultry weight data in data mining.The results demonstrated that accurate classifications could be obtained according to the poultry characteristics,and the clustering results matched with the results obtained by manual method to identify the poultry groups.Consequently,the technique in this paper has great potential for large-scale poultry disease warning and poultry classification.展开更多
畜禽养殖场内温度、湿度及各种气体构成畜禽生长的外围环境,直接影响畜禽日常行为和生长速度及免疫状态。对这些畜禽养殖场内进行检测并监控畜禽健康状态及寻找二者间的联系,对优化养殖环境,发展健康养殖具有重要意义。该研究以STM32单...畜禽养殖场内温度、湿度及各种气体构成畜禽生长的外围环境,直接影响畜禽日常行为和生长速度及免疫状态。对这些畜禽养殖场内进行检测并监控畜禽健康状态及寻找二者间的联系,对优化养殖环境,发展健康养殖具有重要意义。该研究以STM32单片机为控制核心,在固定点传感器外设置移动式智能监测平台,通过无线定位系统UWB(Ultra Wide Band)和集成传感器对畜禽养殖场内环境进行监测,利用带图传功能摄像头和红外测温装置实时监控畜禽状态。传感器获取信息后将数据以UART、IIC或模拟量输出方式传递给STM32,STM32处理数据后通过物联网WIFI模块上传至阿里云IoT(The Internet of Things)物联网平台,用户登录网页页面即可对数据进行远程访问,并对畜禽状态进行实时监控。实测结果表明,智能检测平台检测数据与猪场内布置的传感器检测结果相近,二者偏差小于10%,在无遮挡情况下布置无线定位系统,定位误差接近10 cm级。系统检测数据可信,数据传输正常,可持续长时间稳定运行。机动平台还开发了搬运功能,单次运送能力为200 kg左右。移动式智能监测平台为畜禽养殖场内实现全范围环境监控提供了设备基础。展开更多
文摘The routine monitoring of livestock and poultry products is the monitoring work carried out by the Ministry of Agriculture in order to grasp the quality and safety of national livestock and poultry products,and the sampling work is the first part of routine monitoring. This paper analyzes various factors during the implementation of sampling work such as preparatory work,sampling tools,sampling process,pretreatment,packaging,transfer,storage conditions and sample delivery. Carrying out the effective quality control can help to ensure the impartiality of the test results so as to provide reliable scientific basis for the department to study regulatory measures.
基金Production-study-research Combination projects from the Education Department of Guangdong Province(No.2012B090600052,2012B091100484,2012B040400004,2011A060901027).
文摘Poultry behavior monitoring is an important basis for the poultry disease warning.Manual monitoring is mostly used nowadays.In this work,the automatic monitoring system for assisting manual monitoring was examined.Sophisticated data mining techniques were used to leverage the data collected by RFID devices.Specifically,(1)weighing sensors and wireless networks of Multiple RFID-tag-collector groups were used to monitor the poultry behavior;(2)RFID tags were putted on individual poultry so that the moving time of the poultry between two RFID-tag-collectors could be recorded.Thus,the characteristic functions of poultry behaviors such as speed,ability to snatch food and resting time could be extracted based on the distance between two RFID-tag-collectors and the relevant time parameters;(3)the sick,normal,active and other poultry groups were categorized by using the K-means method which utilizing the behavior characteristics and poultry weight data in data mining.The results demonstrated that accurate classifications could be obtained according to the poultry characteristics,and the clustering results matched with the results obtained by manual method to identify the poultry groups.Consequently,the technique in this paper has great potential for large-scale poultry disease warning and poultry classification.
文摘畜禽养殖场内温度、湿度及各种气体构成畜禽生长的外围环境,直接影响畜禽日常行为和生长速度及免疫状态。对这些畜禽养殖场内进行检测并监控畜禽健康状态及寻找二者间的联系,对优化养殖环境,发展健康养殖具有重要意义。该研究以STM32单片机为控制核心,在固定点传感器外设置移动式智能监测平台,通过无线定位系统UWB(Ultra Wide Band)和集成传感器对畜禽养殖场内环境进行监测,利用带图传功能摄像头和红外测温装置实时监控畜禽状态。传感器获取信息后将数据以UART、IIC或模拟量输出方式传递给STM32,STM32处理数据后通过物联网WIFI模块上传至阿里云IoT(The Internet of Things)物联网平台,用户登录网页页面即可对数据进行远程访问,并对畜禽状态进行实时监控。实测结果表明,智能检测平台检测数据与猪场内布置的传感器检测结果相近,二者偏差小于10%,在无遮挡情况下布置无线定位系统,定位误差接近10 cm级。系统检测数据可信,数据传输正常,可持续长时间稳定运行。机动平台还开发了搬运功能,单次运送能力为200 kg左右。移动式智能监测平台为畜禽养殖场内实现全范围环境监控提供了设备基础。
