TY - JOUR
T1 - Application of unmanned aerial vehicle optical remote sensing in crop nitrogen diagnosis
T2 - A systematic literature review
AU - Li, Daoliang
AU - Yang, Shuai
AU - Du, Zhuangzhuang
AU - Xu, Xianbao
AU - Zhang, Pan
AU - Yu, Kang
AU - Zhang, Jingcheng
AU - Shu, Meiyan
N1 - Publisher Copyright:
© 2024
PY - 2024/12
Y1 - 2024/12
N2 - Nitrogen (N) is an essential nutrient that profoundly impacts crop growth, yield, and overall quality. Misapplication of N fertilizers can negatively affect crop productivity and lead to adverse environmental outcomes. Given this challenge, unmanned aerial vehicle (UAV) remote sensing has steadily evolved into a cost-effective substitute for conventional destructive field sampling and laboratory analysis when determining crops’ N status. This paper presents a comprehensive literature review synthesising current and potential physiological and spectral indicators for assessing crop N status and comparing their respective attributes. Moreover, it scrutinizes the advantages and disadvantages of four distinct categories of crop N retrieval methodologies. This study described the processing flow of UAV images and compared the advantages and disadvantages of different UAV platforms and photogrammetry software. Additionally, the study analyzes the applications and developmental prospects of commonly employed UAV optical sensors and multi-sensor information fusion technologies in monitoring crop N status. Finally, the paper delves into the primary challenges and prospective directions concerning assessing crop N status via UAV optical remote sensing. The purpose of this research review extends beyond offering theoretical and technical backing; it seeks to guide practical implementation strategies to foster the adoption and effective use of UAV optical remote sensing in evaluating crop N status.
AB - Nitrogen (N) is an essential nutrient that profoundly impacts crop growth, yield, and overall quality. Misapplication of N fertilizers can negatively affect crop productivity and lead to adverse environmental outcomes. Given this challenge, unmanned aerial vehicle (UAV) remote sensing has steadily evolved into a cost-effective substitute for conventional destructive field sampling and laboratory analysis when determining crops’ N status. This paper presents a comprehensive literature review synthesising current and potential physiological and spectral indicators for assessing crop N status and comparing their respective attributes. Moreover, it scrutinizes the advantages and disadvantages of four distinct categories of crop N retrieval methodologies. This study described the processing flow of UAV images and compared the advantages and disadvantages of different UAV platforms and photogrammetry software. Additionally, the study analyzes the applications and developmental prospects of commonly employed UAV optical sensors and multi-sensor information fusion technologies in monitoring crop N status. Finally, the paper delves into the primary challenges and prospective directions concerning assessing crop N status via UAV optical remote sensing. The purpose of this research review extends beyond offering theoretical and technical backing; it seeks to guide practical implementation strategies to foster the adoption and effective use of UAV optical remote sensing in evaluating crop N status.
KW - Crop nitrogen retrieval methodologies
KW - Multi-sensor information fusion
KW - Nitrogen
KW - Remote sensing
KW - Unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85207022937&partnerID=8YFLogxK
U2 - 10.1016/j.compag.2024.109565
DO - 10.1016/j.compag.2024.109565
M3 - Article
AN - SCOPUS:85207022937
SN - 0168-1699
VL - 227
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
M1 - 109565
ER -