Plant optics: underlying mechanisms in remotely sensed signals for phenotyping applications

CYS Wong - AoB Plants, 2023 - academic.oup.com
Optical-based remote sensing offers great potential for phenotyping vegetation traits and
functions for a range of applications including vegetation monitoring and assessment. A key …

Remote Sensing Applications in Almond Orchards: A Comprehensive Systematic Review of Current Insights, Research Gaps, and Future Prospects

N Guimarães, JJ Sousa, L Pádua, A Bento, P Couto - Applied Sciences, 2024 - mdpi.com
Almond cultivation is of great socio-economic importance worldwide. With the demand for
almonds steadily increasing due to their nutritional value and versatility, optimizing the …

Simultaneous Quantification and Visualization of Photosynthetic Pigments in Lycopersicon esculentum Mill. under Different Levels of Nitrogen Application with Visible …

J Zhao, N Chen, T Zhu, X Zhao, M Yuan, Z Wang… - Plants, 2023 - mdpi.com
Leaf photosynthetic pigments play a crucial role in evaluating nutritional elements and
physiological states. In facility agriculture, it is vital to rapidly and accurately obtain the …

Estimating relative chlorophyll content in rice leaves using unmanned aerial vehicle multi-spectral images and spectral–textural analysis

Y Wang, S Tan, X Jia, L Qi, S Liu, H Lu, C Wang, W Liu… - Agronomy, 2023 - mdpi.com
Leaf chlorophyll content is crucial for monitoring plant growth and photosynthetic capacity.
The Soil and Plant Analysis Development (SPAD) values are widely utilized as a relative …

[HTML][HTML] A unified physically based method for monitoring grassland nitrogen concentration with Landsat 7, Landsat 8, and Sentinel-2 satellite data

MH Dehghan-Shoar, RR Pullanagari, G Kereszturi… - Remote Sensing, 2023 - mdpi.com
The increasing number of satellite missions provides vast opportunities for continuous
vegetation monitoring, crucial for precision agriculture and environmental sustainability …

Monitoring of Nitrogen Concentration in Soybean Leaves at Multiple Spatial Vertical Scales Based on Spectral Parameters

T Sun, Z Li, Z Wang, Y Liu, Z Zhu, Y Zhao, W Xie, S Cui… - Plants, 2024 - mdpi.com
Nitrogen is a fundamental component for building amino acids and proteins, playing a
crucial role in the growth and development of plants. Leaf nitrogen concentration (LNC) …

Solar-induced chlorophyll fluorescence extraction based on heterogeneous light distribution for improving in-situ chlorophyll content estimation

R Zhao, W Tang, L An, L Qiao, N Wang, H Sun… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of leaf chlorophyll content (LCC) in field for wheat crops is important to
provide guidance for precision management. Solar-induced chlorophyll fluorescence (SIF) …

A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval

RAF Ishaq, G Zhou, C Tian, Y Tan, G Jing, H Jiang - Remote Sensing, 2023 - mdpi.com
Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …

Investigating foliar macro-and micronutrient variation with chlorophyll fluorescence and reflectance measurements at the leaf and canopy scales in potato

J Oivukkamäki, J Atherton, S Xu, A Riikonen, C Zhang… - Remote Sensing, 2023 - mdpi.com
Vegetation indices (VIs) related to plant greenness have been studied extensively for the
remote detection of foliar nitrogen content. Yet, the potential of chlorophyll fluorescence …

Physiological dynamics dominate the relationship between solar-induced chlorophyll fluorescence and gross primary productivity along the nitrogen gradient in …

E Xu, L Zhou, J Ding, N Zhao, L Zeng, G Zhang… - Science of The Total …, 2024 - Elsevier
Solar-induced chlorophyll fluorescence (SIF) has been found to be robustly correlated with
gross primary productivity (GPP) based on satellite datasets. However, it is unclear whether …