Smart Agriculture ›› 2022, Vol. 4 ›› Issue (1): 1-16.doi: 10.12133/j.smartag.SA202201008
• 专题--作物生长及其环境监测 • 下一篇
杨国峰1,2,3(), 何勇1,2,3(
), 冯旭萍1,2,3, 李禧尧1,2,3, 张金诺1,2,3, 俞泽宇1,2,3
收稿日期:
2022-01-26
出版日期:
2022-03-30
发布日期:
2022-04-28
基金资助:
作者简介:
杨国峰(1994-),男,博士研究生,研究方向为农业计算机视觉与无人机植物表型。E-mail:通讯作者:
何勇
E-mail:yangguofeng@zju.edu.cn;yhe@zju.edu.cn
YANG Guofeng1,2,3(), HE Yong1,2,3(
), FENG Xuping1,2,3, LI Xiyao1,2,3, ZHANG Jinnuo1,2,3, YU Zeyu1,2,3
Received:
2022-01-26
Online:
2022-03-30
Published:
2022-04-28
corresponding author:
HE Yong
E-mail:yangguofeng@zju.edu.cn;yhe@zju.edu.cn
摘要:
病虫害是作物生产面临的主要胁迫之一。近年来,随着无人机产业的快速发展,无人机农业遥感因其图像空间分辨率高、数据获取时效性强和成本低等特点,在作物病虫害胁迫监测应用中发挥了重要作用。本文首先介绍了利用无人机遥感监测作物病虫害胁迫的相关背景;其次对目前无人机遥感监测作物病虫害胁迫中的常用方法进行了概述,主要探讨无人机遥感监测作物病虫害胁迫的数据获取方式和数据处理方法;之后从可见光成像遥感、多光谱成像遥感、高光谱成像遥感、热红外成像遥感、激光雷达成像遥感和多遥感融合与对比六个方面重点综述了近期国内外无人机遥感监测作物病虫害胁迫的研究进展。最后提出了无人机遥感监测作物病虫害胁迫研究与应用中尚未解决的关键技术问题与未来的发展方向。本文为把握无人机遥感监测作物病虫害胁迫研究热点、应用瓶颈、发展趋势提供借鉴和参考,以期助力中国无人机遥感监测作物病虫害胁迫更加标准化、信息化、精准化和智能化。
中图分类号:
杨国峰, 何勇, 冯旭萍, 李禧尧, 张金诺, 俞泽宇. 无人机遥感监测作物病虫害胁迫方法与最新研究进展[J]. 智慧农业(中英文), 2022, 4(1): 1-16.
YANG Guofeng, HE Yong, FENG Xuping, LI Xiyao, ZHANG Jinnuo, YU Zeyu. Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle[J]. Smart Agriculture, 2022, 4(1): 1-16.
表 1
不同无人机飞行平台特点
类型 | 载荷/kg | 续航时间/min | 应用范围 | 优点 | 缺点 |
---|---|---|---|---|---|
多旋翼无人机[ | 1~25 | 10~120 | 小面积 | 自主导航与起降、定点悬停、多载荷、起降方便 | 续航较短、信号易受干扰 |
固定翼无人机[ | 1~40 | 30~240 | 大面积 | 自主导航、续航长、多载荷、起降方便、飞行速度快 | 无法定点悬停、飞行速度无法快速改变、起降要求较高 |
单旋翼无人机[ | 1~35 | 30~240 | 中等面积 | 垂直起降、定点悬停、多载荷、起降方便 | 续航较短、稳定性较差、油耗高、噪声较大、维护复杂、速度较低 |
混合翼无人机[ | 1~30 | 60~600 | 中等面积 | 续航较长、稳定性好、起降方便、飞行速度较快 | 维护复杂、造价较高 |
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