TY - JOUR
T1 - Integrating multi-angle and multi-scale remote sensing for precision nitrogen management in agriculture
T2 - A review
AU - Zhou, Yeying
AU - Ma, Yuntao
AU - Ata-Ul-Karim, Syed Tahir
AU - Wang, Sheng
AU - Ciampitti, Ignacio
AU - Antoniuk, Vita
AU - Wu, Caicong
AU - Andersen, Mathias Neumann
AU - Cammarano, Davide
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2025/3
Y1 - 2025/3
N2 - Nitrogen (N) is an essential element for crop growth, productivity, and quality, making it a fundamental component of crop nutrition. In precision agriculture, rapid and non-destructive monitoring of crop N status is crucial for formulating N management strategies to optimize N application and assessing crop performance. This review investigates the integration of remote sensing (RS) in precision N management, particularly focusing on addressing temporal, scale, and geometric consideration in RS applications. The study reviews RS monitoring techniques from three perspectives: firstly, determining optimal fertilization timing based on crop phenology; secondly, introducing RS platforms, including proximal sensing, airborne RS, and satellites for monitoring crop N status; and finally, examining the use of multi-angle RS techniques for N monitoring. The literature reviewed in this study shows that 29% of publications focus on N monitoring at joining and 24% at grain-filling stage, limiting the window for making decisions for in-season N management. This paper concludes that integrating appropriate monitoring platforms, multi-angle observations, and dynamic modeling offers a promising approach for assessing crop N status. This integrated approach provides an essential decision-making tool for N fertilization, advancing precision agriculture for its broader implication. Advancing dynamic crop models, in-field digital twins, multi-scale RS for seamless monitoring, and artificial intelligence for real-time N status diagnosis together will pave the way for precision N management in modern agriculture.
AB - Nitrogen (N) is an essential element for crop growth, productivity, and quality, making it a fundamental component of crop nutrition. In precision agriculture, rapid and non-destructive monitoring of crop N status is crucial for formulating N management strategies to optimize N application and assessing crop performance. This review investigates the integration of remote sensing (RS) in precision N management, particularly focusing on addressing temporal, scale, and geometric consideration in RS applications. The study reviews RS monitoring techniques from three perspectives: firstly, determining optimal fertilization timing based on crop phenology; secondly, introducing RS platforms, including proximal sensing, airborne RS, and satellites for monitoring crop N status; and finally, examining the use of multi-angle RS techniques for N monitoring. The literature reviewed in this study shows that 29% of publications focus on N monitoring at joining and 24% at grain-filling stage, limiting the window for making decisions for in-season N management. This paper concludes that integrating appropriate monitoring platforms, multi-angle observations, and dynamic modeling offers a promising approach for assessing crop N status. This integrated approach provides an essential decision-making tool for N fertilization, advancing precision agriculture for its broader implication. Advancing dynamic crop models, in-field digital twins, multi-scale RS for seamless monitoring, and artificial intelligence for real-time N status diagnosis together will pave the way for precision N management in modern agriculture.
KW - Crop phenology
KW - Decision support system
KW - Nitrogen diagnosis
KW - Nitrogen monitoring
KW - Nitrogen scheduling
KW - Spatio-temporal variability
UR - http://www.scopus.com/inward/record.url?scp=85213082558&partnerID=8YFLogxK
U2 - 10.1016/j.compag.2024.109829
DO - 10.1016/j.compag.2024.109829
M3 - Review
AN - SCOPUS:85213082558
SN - 0168-1699
VL - 230
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
M1 - 109829
ER -