農(nóng)產(chǎn)品安全生產(chǎn)與智慧管理技術(shù)的開(kāi)發(fā)與應(yīng)用

姜東 姚霞 倪君 郭建華 李民贊 沈暉 孫明謙

摘 要：研究和建立農(nóng)作物生長(zhǎng)感知與智慧管理技術(shù)對(duì)于發(fā)展優(yōu)質(zhì)、高產(chǎn)、高效、生態(tài)、安全的農(nóng)業(yè)生產(chǎn)顯得尤為重要。為此，該研究以小麥、水稻、冬棗、蘋(píng)果的安全生產(chǎn)過(guò)程為主要研究對(duì)象，重點(diǎn)開(kāi)展如下研究：（1）農(nóng)作物生長(zhǎng)過(guò)程的實(shí)時(shí)感知模型與品質(zhì)指標(biāo)預(yù)測(cè)模型；（2）集成研制農(nóng)作物生長(zhǎng)及環(huán)境感知節(jié)點(diǎn)；（3）研發(fā)農(nóng)作物生長(zhǎng)及環(huán)境感知傳感器網(wǎng)關(guān)；（4）構(gòu)建農(nóng)作物生長(zhǎng)及環(huán)境感知設(shè)備智能管理系統(tǒng)；（5）建立農(nóng)作物生長(zhǎng)狀況的精確診斷與調(diào)控模型；（6）集成構(gòu)建基于實(shí)時(shí)感知信息的農(nóng)作物生產(chǎn)智慧管理系統(tǒng)；（7）開(kāi)展農(nóng)作物生長(zhǎng)感知及智慧管理技術(shù)的組裝測(cè)試與示范應(yīng)用。通過(guò)該課題的實(shí)施，預(yù)期將提升水稻、小麥、冬棗、蘋(píng)果等的安全生產(chǎn)與品質(zhì)控制，建立上述農(nóng)產(chǎn)品生產(chǎn)全程動(dòng)態(tài)感知與智慧管理關(guān)鍵技術(shù)。

關(guān)鍵詞：農(nóng)產(chǎn)品 生長(zhǎng)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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