Hyperspectral proximal sensing of leaf chlorophyll content of spring maize based on a hybrid of physically based modelling and ensemble stacking
Leaf chlorophyll content (LCC) is an important indicator for evaluating crop nutritional status
and environmental stress. For the purpose of achieving rapid, non-destructive, and real-time …
and environmental stress. For the purpose of achieving rapid, non-destructive, and real-time …
Remotely sensed identification of canopy characteristics using UAV-based imagery under unstable environmental conditions
Water is a crucial element for plant growth, metabolic processes, and general health. Water-
deficit, typically simplified by drought stress, is the most critical photosynthetic source of …
deficit, typically simplified by drought stress, is the most critical photosynthetic source of …
Vegetation spectra as an integrated measure to explain underlying soil characteristics: a review of recent advances
Grassland ecosystems play a critical role in global carbon cycling and environmental health.
Understanding the intricate link between grassland vegetation traits and underlying soil …
Understanding the intricate link between grassland vegetation traits and underlying soil …
Diagnosis of maize chlorophyll content based on hybrid preprocessing and wavelengths optimization
D Gao, L Qiao, L An, H Sun, MZ Li, R Zhao… - … and Electronics in …, 2022 - Elsevier
Leaf chlorophyll content (LCC) is one of important indicators for photosynthesis evaluation
and crop nutrition diagnosis. For establishing an accuracy LCC diagnosis model, this study …
and crop nutrition diagnosis. For establishing an accuracy LCC diagnosis model, this study …
[HTML][HTML] Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum
Sorghum, a genetically diverse C 4 cereal, is an ideal model to study natural variation in
photosynthetic capacity. Specific leaf nitrogen (SLN) and leaf mass per leaf area (LMA), as …
photosynthetic capacity. Specific leaf nitrogen (SLN) and leaf mass per leaf area (LMA), as …
Analysis of designs used in monitoring crop growth based on remote sensing methods
CT Dobrota, R Carpa… - Turkish Journal of …, 2021 - journals.tubitak.gov.tr
Choosing appropriate designs and methods for monitoring crop growth is a challenging
process of major importance. Remote sensing from space and manned or unmanned …
process of major importance. Remote sensing from space and manned or unmanned …
Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content
R Sonobe, Y Hirono - Remote Sensing, 2022 - mdpi.com
Tea is second only to water as the world's most popular drink and it is consumed in various
forms, such as black and green teas. A range of cultivars has therefore been developed in …
forms, such as black and green teas. A range of cultivars has therefore been developed in …
Satellite based remote sensing for estimating crop yield: examining the use of various functional forms and vegetation indices
S Miralda - 2022 - mspace.lib.umanitoba.ca
This research includes two studies on estimating crop yield using satellite-based vegetation
indices. For the first study, the objective is to compare eight different functional forms for …
indices. For the first study, the objective is to compare eight different functional forms for …