Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology

Plant height is a key indicator to dynamically measure crop health and overall growth status, which is widely used to estimate the biological yield and final grain yield of crops. The traditional manual measurement method is subjective, inefficient, and time-consuming. And the plant height obtained...

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Autores principales:	ZHANG Jian, XIE Tianjin, YANG Wanneng, ZHOU Guangsheng
Formato:	article
Lenguaje:	EN ZH
Publicado:	Editorial Office of Smart Agriculture 2021
Materias:	plant height near-field remote sensing crop unmanned aerial vehicle visible-light camera lidar Agriculture (General) S1-972 Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/97e70a7abf4d4f6cbfae5ea3c9b6ceed
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spelling	oai:doaj.org-article:97e70a7abf4d4f6cbfae5ea3c9b6ceed2021-11-17T07:51:59ZResearch Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology2096-809410.12133/j.smartag.2021.3.1.202102-SA033https://doaj.org/article/97e70a7abf4d4f6cbfae5ea3c9b6ceed2021-03-01T00:00:00Zhttp://www.smartag.net.cn/article/2021/2096-8094/2096-8094-2021-3-1-1.shtmlhttps://doaj.org/toc/2096-8094Plant height is a key indicator to dynamically measure crop health and overall growth status, which is widely used to estimate the biological yield and final grain yield of crops. The traditional manual measurement method is subjective, inefficient, and time-consuming. And the plant height obtained by sampling cannot evaluate the height of the whole field. In the last decade, remote sensing technology has developed rapidly in agriculture, which makes it possible to collect crop height information with high accuracy, high frequency, and high efficiency. This paper firstly reviewed the literature on obtaining plant height by using remote sensing technology for understanding the research progress of height estimation in the field. Unmanned aerial vehicle (UAV) platform with visible-light camera and light detection and ranging (LiDAR) were the most frequently used methods. And main research crops included wheat, corn, rice, and other staple food crops. Moreover, crop height measurement was mainly based on near-field remote sensing platforms such as ground, UAV, and airborne. Secondly, the basic principles, advantages, and limitations of different platforms and sensors for obtaining plant height were analyzed. The altimetry process and the key techniques of LiDAR and visible-light camera were discussed emphatically, which included extraction of crop canopy and soil elevation information, and feature matching of the imaging method. Then, the applications using plant height data, including the inversion of biomass, lodging identification, yield prediction, and breeding of crops were summarized. However, the commonly used empirical model has some problems such large measured data, unclear physical significance, and poor universality. Finally, the problems and challenges of near-field remote sensing technology in plant height acquisition were proposed. Selecting appropriate data to meet the needs of cost and accuracy, improving the measurement accuracy, and matching the plant height estimation of remote sensing with the agricultural application need to be considered. In addition, we prospected the future development was prospected from four aspects of 1) platform and sensor, 2) bare soil detection and interpolation algorithm, 3) plant height application research, and 4) the measurement difference of plant height between agronomy and remote sensing, which can provide references for future research and method application of near-field remote sensing height measurement.ZHANG JianXIE TianjinYANG WannengZHOU GuangshengEditorial Office of Smart Agriculturearticleplant heightnear-field remote sensingcropunmanned aerial vehiclevisible-light cameralidarAgriculture (General)S1-972Technology (General)T1-995ENZH智慧农业, Vol 3, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN ZH
topic	plant height near-field remote sensing crop unmanned aerial vehicle visible-light camera lidar Agriculture (General) S1-972 Technology (General) T1-995
spellingShingle	plant height near-field remote sensing crop unmanned aerial vehicle visible-light camera lidar Agriculture (General) S1-972 Technology (General) T1-995 ZHANG Jian XIE Tianjin YANG Wanneng ZHOU Guangsheng Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
description	Plant height is a key indicator to dynamically measure crop health and overall growth status, which is widely used to estimate the biological yield and final grain yield of crops. The traditional manual measurement method is subjective, inefficient, and time-consuming. And the plant height obtained by sampling cannot evaluate the height of the whole field. In the last decade, remote sensing technology has developed rapidly in agriculture, which makes it possible to collect crop height information with high accuracy, high frequency, and high efficiency. This paper firstly reviewed the literature on obtaining plant height by using remote sensing technology for understanding the research progress of height estimation in the field. Unmanned aerial vehicle (UAV) platform with visible-light camera and light detection and ranging (LiDAR) were the most frequently used methods. And main research crops included wheat, corn, rice, and other staple food crops. Moreover, crop height measurement was mainly based on near-field remote sensing platforms such as ground, UAV, and airborne. Secondly, the basic principles, advantages, and limitations of different platforms and sensors for obtaining plant height were analyzed. The altimetry process and the key techniques of LiDAR and visible-light camera were discussed emphatically, which included extraction of crop canopy and soil elevation information, and feature matching of the imaging method. Then, the applications using plant height data, including the inversion of biomass, lodging identification, yield prediction, and breeding of crops were summarized. However, the commonly used empirical model has some problems such large measured data, unclear physical significance, and poor universality. Finally, the problems and challenges of near-field remote sensing technology in plant height acquisition were proposed. Selecting appropriate data to meet the needs of cost and accuracy, improving the measurement accuracy, and matching the plant height estimation of remote sensing with the agricultural application need to be considered. In addition, we prospected the future development was prospected from four aspects of 1) platform and sensor, 2) bare soil detection and interpolation algorithm, 3) plant height application research, and 4) the measurement difference of plant height between agronomy and remote sensing, which can provide references for future research and method application of near-field remote sensing height measurement.
format	article
author	ZHANG Jian XIE Tianjin YANG Wanneng ZHOU Guangsheng
author_facet	ZHANG Jian XIE Tianjin YANG Wanneng ZHOU Guangsheng
author_sort	ZHANG Jian
title	Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
title_short	Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
title_full	Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
title_fullStr	Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
title_full_unstemmed	Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology
title_sort	research status and prospect on height estimation of field crop using near-field remote sensing technology
publisher	Editorial Office of Smart Agriculture
publishDate	2021
url	https://doaj.org/article/97e70a7abf4d4f6cbfae5ea3c9b6ceed
work_keys_str_mv	AT zhangjian researchstatusandprospectonheightestimationoffieldcropusingnearfieldremotesensingtechnology AT xietianjin researchstatusandprospectonheightestimationoffieldcropusingnearfieldremotesensingtechnology AT yangwanneng researchstatusandprospectonheightestimationoffieldcropusingnearfieldremotesensingtechnology AT zhouguangsheng researchstatusandprospectonheightestimationoffieldcropusingnearfieldremotesensingtechnology
_version_	1718425876443430912

Research Status and Prospect on Height Estimation of Field Crop Using Near-Field Remote Sensing Technology

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