姜东 姚霞 倪君 郭建华 李民赞 沈晖 孙明谦

摘 要：研究和建立农作物生长感知与智慧管理技术对于发展优质、高产、高效、生态、安全的农业生产显得尤为重要。为此，该研究以小麦、水稻、冬枣、苹果的安全生产过程为主要研究对象，重点开展如下研究：（1）农作物生长过程的实时感知模型与品质指标预测模型；（2）集成研制农作物生长及环境感知节点；（3）研发农作物生长及环境感知传感器网关；（4）构建农作物生长及环境感知设备智能管理系统；（5）建立农作物生长状况的精确诊断与调控模型；（6）集成构建基于实时感知信息的农作物生产智慧管理系统；（7）开展农作物生长感知及智慧管理技术的组装测试与示范应用。通过该课题的实施，预期将提升水稻、小麦、冬枣、苹果等的安全生产与品质控制，建立上述农产品生产全程动态感知与智慧管理关键技术。

关键词：农产品 生长感知 智慧管理

Development and Application of the safe Production and Smart Management for Agricultural Product

Jiang Dong1 Yao Xia1 Ni Jun1 Guo Jianhua2 Li Minzan3 Shen Hui3 Sun Mingqian3

（1.Nanjing Agricultural University；2.Beijing agricultural intelligent equipment technology research center；3.Beijing Teamsun Technology Co.， Ltd）

Abstract：To detect the growth status of agricultural product， the sensor nodes and wisdom Management System were designed and developed. The function of system included data acquirement， analysis and management. The hardware and software were developed for the growth sensor， the calibration and test showed that it provided a support for Agricultural product monitoring. In the Agricultural product information management， C/S architecture was used in receive software to collect and store data， besides， message can be sent to sink node to control working state of sensor nodes. The software platform used B/S architecture， and querying， graphic show and analysis allowed to authentication users were achieved. Combined environmental information and growth information. In winter agricultural product orchard management decision system， using Surfer API， contour chart of NDVI from different sensor nodes was drawn. Through the relation with chlorophyll and nitrogen， the management decision was proposed furthermore.

Key Words：Agricultural product； Safe production； Smart management

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