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作 者:付兵[1,2]
机构地区:[1]长江大学文理学院,湖北荆州434020 [2]长江大学计算机科学学院,湖北荆州434023
出 处:《科技通报》2014年第1期106-109,共4页Bulletin of Science and Technology
摘 要:引入基于物联网的精准农业技术能加快我国向现代化大农业过渡的进程。精准农业系统利用BP神经网络算法预测瓜果病虫害,软件系统包含了生产智能管理平台、专家诊断服务系统平台和溯源交易平台,同时应用了RFID、3G、ZigBee等物联网技术。该精准农业系统应用于有机瓜果示范生产,起到了精细控制水肥、及时预警病虫害、降低了生产成本的作用,大范围的应用会产生更好的经济效益。China is moving toward modernization mega-agriculture from traditional agriculture, it could accelerate the progress that the precision agriculture system based on IOT is introduced. BP neural network algorithm was developed to forecast fruit diseases and insect pests in the system. Software development is a focus in the project, there are three platforms in the system: the intelligent production management platform, the expert diagnosis service platform and the Traceability & Internet trading platform. A number of new technologies were used in the system, such as RFID, 3G, ZigBee, sensors, and so on. It is a pilot demonstration project, to control precision irrigation and fertilization, to forewarn disease and insect pests, to reduce the melon and fruit production cost, to improve fruit quality and yield. If the system was adopted in a large region, the economic benefits of fruit grower would improve.
分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]
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