CN110197308A - 一种用于农业物联网的作物监测系统及方法 - Google Patents
一种用于农业物联网的作物监测系统及方法 Download PDFInfo
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111582324A (zh) * | 2020-04-20 | 2020-08-25 | 广州海睿信息科技有限公司 | 农业大数据分析的方法及装置 |
CN112215717A (zh) * | 2020-10-13 | 2021-01-12 | 江西省农业科学院农业经济与信息研究所 | 一种基于电子地图和航拍信息的农业信息管理系统 |
CN112257908A (zh) * | 2020-09-30 | 2021-01-22 | 嘉应学院 | 一种山区农业多源异构数据的整合方法及装置 |
WO2021196062A1 (zh) * | 2020-04-01 | 2021-10-07 | 唐山哈船科技有限公司 | 一种基于无人机的农业除虫装置及方法 |
CN114743100A (zh) * | 2022-04-06 | 2022-07-12 | 布瑞克(苏州)农业互联网股份有限公司 | 一种农产品长势监测方法和系统 |
US20220279731A1 (en) * | 2019-06-17 | 2022-09-08 | Bayer Cropscience K.K. | Information processing device and method |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20140077513A (ko) * | 2012-12-14 | 2014-06-24 | 한국전자통신연구원 | 영상을 통한 온실 작물 정보 관리 시스템 및 그 방법 |
CN203893883U (zh) * | 2014-05-04 | 2014-10-22 | 河北省水利技术试验推广中心 | 农田作物灌溉预报信息的实时采集系统 |
US20160148104A1 (en) * | 2014-11-24 | 2016-05-26 | Prospera Technologies, Ltd. | System and method for plant monitoring |
CN106408132A (zh) * | 2016-09-30 | 2017-02-15 | 深圳前海弘稼科技有限公司 | 一种基于种植设备的作物产量预测方法及装置 |
US20170161560A1 (en) * | 2014-11-24 | 2017-06-08 | Prospera Technologies, Ltd. | System and method for harvest yield prediction |
CN107807598A (zh) * | 2017-11-24 | 2018-03-16 | 吉林省农业机械研究院 | 物联网+节水、节肥精准灌溉系统及方法 |
CN109242201A (zh) * | 2018-09-29 | 2019-01-18 | 上海中信信息发展股份有限公司 | 一种预测农作物产量的方法、装置及计算机可读存储介质 |
CN109711272A (zh) * | 2018-12-04 | 2019-05-03 | 量子云未来(北京)信息科技有限公司 | 农作物智能化管理方法、系统、电子设备及存储介质 |
-
2019
- 2019-06-05 CN CN201910486384.5A patent/CN110197308B/zh active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20140077513A (ko) * | 2012-12-14 | 2014-06-24 | 한국전자통신연구원 | 영상을 통한 온실 작물 정보 관리 시스템 및 그 방법 |
CN203893883U (zh) * | 2014-05-04 | 2014-10-22 | 河北省水利技术试验推广中心 | 农田作物灌溉预报信息的实时采集系统 |
US20160148104A1 (en) * | 2014-11-24 | 2016-05-26 | Prospera Technologies, Ltd. | System and method for plant monitoring |
US20170161560A1 (en) * | 2014-11-24 | 2017-06-08 | Prospera Technologies, Ltd. | System and method for harvest yield prediction |
CN106408132A (zh) * | 2016-09-30 | 2017-02-15 | 深圳前海弘稼科技有限公司 | 一种基于种植设备的作物产量预测方法及装置 |
CN107807598A (zh) * | 2017-11-24 | 2018-03-16 | 吉林省农业机械研究院 | 物联网+节水、节肥精准灌溉系统及方法 |
CN109242201A (zh) * | 2018-09-29 | 2019-01-18 | 上海中信信息发展股份有限公司 | 一种预测农作物产量的方法、装置及计算机可读存储介质 |
CN109711272A (zh) * | 2018-12-04 | 2019-05-03 | 量子云未来(北京)信息科技有限公司 | 农作物智能化管理方法、系统、电子设备及存储介质 |
Non-Patent Citations (2)
Title |
---|
李邦荣: "农业物联网技术在作物种植环境系统中的应用", 《农民致富之友》 * |
桂淮濛: "遥感技术在农业生产中的实际应用", 《农业工程》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220279731A1 (en) * | 2019-06-17 | 2022-09-08 | Bayer Cropscience K.K. | Information processing device and method |
WO2021196062A1 (zh) * | 2020-04-01 | 2021-10-07 | 唐山哈船科技有限公司 | 一种基于无人机的农业除虫装置及方法 |
CN111582324A (zh) * | 2020-04-20 | 2020-08-25 | 广州海睿信息科技有限公司 | 农业大数据分析的方法及装置 |
CN112257908A (zh) * | 2020-09-30 | 2021-01-22 | 嘉应学院 | 一种山区农业多源异构数据的整合方法及装置 |
CN112215717A (zh) * | 2020-10-13 | 2021-01-12 | 江西省农业科学院农业经济与信息研究所 | 一种基于电子地图和航拍信息的农业信息管理系统 |
CN114743100A (zh) * | 2022-04-06 | 2022-07-12 | 布瑞克(苏州)农业互联网股份有限公司 | 一种农产品长势监测方法和系统 |
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Inventor after: Peng Rongjun Inventor after: Jiang Hao Inventor after: Zhang Yafei Inventor after: Lv Tingyu Inventor after: Qu Mingwei Inventor after: Zhang Huagui Inventor after: Yan Daming Inventor after: Tan Jingguang Inventor after: Li Zhenyu Inventor after: Liu Cheng Inventor after: Yu Xiaoli Inventor after: Meng Qingshan Inventor after: Li Ying Inventor after: Zhang Yanjun Inventor after: Cui Yi Inventor before: Peng Rongjun Inventor before: Lv Tingyu Inventor before: Qu Mingwei Inventor before: Zhang Huagui Inventor before: Yan Daming Inventor before: Tan Jingguang Inventor before: Yu Xiaoli Inventor before: Meng Qingshan Inventor before: Li Ying Inventor before: Zhang Yanjun Inventor before: Cui Yi Inventor before: Jiang Hao Inventor before: Zhang Yafei |
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Address after: Jiansanjiang Qixing Farm, Fujin City, Jiamusi City, Heilongjiang Province 156100 Patentee after: Beidahuang group Heilongjiang Qixing farm Co.,Ltd. Address before: 154000 Qixing farm, Sanjiang Administration Bureau of agricultural reclamation, Jiamusi City, Heilongjiang Province Patentee before: Qixing Farm in Heilongjiang Province |