CN110825118A - 一种基于深度学习算法的多无人机协同农田喷淋方法 - Google Patents
一种基于深度学习算法的多无人机协同农田喷淋方法 Download PDFInfo
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112330915A (zh) * | 2020-10-29 | 2021-02-05 | 五邑大学 | 无人机森林防火预警方法、系统、电子设备和存储介质 |
CN112464766A (zh) * | 2020-11-17 | 2021-03-09 | 北京农业智能装备技术研究中心 | 一种农田地头自动识别方法及系统 |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2016204514A1 (en) * | 2015-06-29 | 2017-01-19 | Greentech International Pty Ltd | Boom arm system for spraying chemicals on agricultural row crops |
CN106843211A (zh) * | 2017-02-07 | 2017-06-13 | 东华大学 | 一种基于改进遗传算法的移动机器人路径规划方法 |
CN107153840A (zh) * | 2017-04-21 | 2017-09-12 | 防城港市丰禾曲辰农业科技有限公司 | 一种基于卷积神经的农作物害虫图像识别方法 |
CN207191436U (zh) * | 2017-07-27 | 2018-04-06 | 湖北翼飞航空工业科技有限公司 | 喷洒均匀的喷洒农药无人机 |
CN108045582A (zh) * | 2017-12-15 | 2018-05-18 | 佛山市神风航空科技有限公司 | 一种用于检测、防治农作物病害的主副无人机系统 |
CN108177780A (zh) * | 2018-02-09 | 2018-06-19 | 广东莱盛隆电子股份有限公司 | 一种稳定性强的植保无人机 |
CN109122633A (zh) * | 2018-06-25 | 2019-01-04 | 华南农业大学 | 神经网络决策的植保无人机精准变量喷雾装置和控制方法 |
CN109871029A (zh) * | 2019-02-21 | 2019-06-11 | 华南农业大学 | 一种基于图像处理技术的植保无人机航线规划优化方法 |
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Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2016204514A1 (en) * | 2015-06-29 | 2017-01-19 | Greentech International Pty Ltd | Boom arm system for spraying chemicals on agricultural row crops |
CN106843211A (zh) * | 2017-02-07 | 2017-06-13 | 东华大学 | 一种基于改进遗传算法的移动机器人路径规划方法 |
CN107153840A (zh) * | 2017-04-21 | 2017-09-12 | 防城港市丰禾曲辰农业科技有限公司 | 一种基于卷积神经的农作物害虫图像识别方法 |
CN207191436U (zh) * | 2017-07-27 | 2018-04-06 | 湖北翼飞航空工业科技有限公司 | 喷洒均匀的喷洒农药无人机 |
CN108045582A (zh) * | 2017-12-15 | 2018-05-18 | 佛山市神风航空科技有限公司 | 一种用于检测、防治农作物病害的主副无人机系统 |
CN108177780A (zh) * | 2018-02-09 | 2018-06-19 | 广东莱盛隆电子股份有限公司 | 一种稳定性强的植保无人机 |
CN109122633A (zh) * | 2018-06-25 | 2019-01-04 | 华南农业大学 | 神经网络决策的植保无人机精准变量喷雾装置和控制方法 |
CN109871029A (zh) * | 2019-02-21 | 2019-06-11 | 华南农业大学 | 一种基于图像处理技术的植保无人机航线规划优化方法 |
Non-Patent Citations (1)
Title |
---|
刘成: "基于机器学习的水稻病害识别算法的研究", 《中国优秀硕士学位论文全文数据库 农业科技辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112330915A (zh) * | 2020-10-29 | 2021-02-05 | 五邑大学 | 无人机森林防火预警方法、系统、电子设备和存储介质 |
CN112330915B (zh) * | 2020-10-29 | 2023-02-28 | 五邑大学 | 无人机森林防火预警方法、系统、电子设备和存储介质 |
CN112464766A (zh) * | 2020-11-17 | 2021-03-09 | 北京农业智能装备技术研究中心 | 一种农田地头自动识别方法及系统 |
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