Regulated deficit irrigation for crop production under drought stress. A review

Q Chai, Y Gan, C Zhao, HL Xu, RM Waskom… - Agronomy for …, 2016 - Springer
Agriculture consumes more than two thirds of the total freshwater of the planet. This issue
causes substantial conflict in freshwater allocation between agriculture and other economic …

A review of imaging techniques for plant phenoty**

L Li, Q Zhang, D Huang - Sensors, 2014 - mdpi.com
Given the rapid development of plant genomic technologies, a lack of access to plant
phenoty** capabilities limits our ability to dissect the genetics of quantitative traits …

[PDF][PDF] How the optical properties of leaves modify the absorption and scattering of energy and enhance leaf functionality

SL Ustin, S Jacquemoud - Remote sensing of plant biodiversity, 2020 - library.oapen.org
Leaves interact with light in ways that create a spectral footprint of the terrestrial environment
of our planet. Most of the visible light penetrating the Earth's atmosphere is absorbed by …

Proximal remote sensing buggies and potential applications for field-based phenoty**

D Deery, J Jimenez-Berni, H Jones, X Sirault… - Agronomy, 2014 - mdpi.com
The achievements made in genomic technology in recent decades are yet to be matched by
fast and accurate crop phenoty** methods. Such crop phenoty** methods are required …

[KÖNYV][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis

X Zhao, J Zhang, Y Huang, Y Tian, L Yuan - Computers and electronics in …, 2022 - Elsevier
Compared with the traditional visual detection method, hyperspectral imaging enables
efficient and non-destructive plant monitoring. Besides, it has great potential in plant …

A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products

M Yebra, PE Dennison, E Chuvieco, D Riaño… - Remote Sensing of …, 2013 - Elsevier
One of the primary variables affecting ignition and spread of wildfire is fuel moisture content
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …

Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset

F Ji, F Li, D Hao, AN Shiklomanov, X Yang… - New …, 2024 - Wiley Online Library
Leaf traits are essential for understanding many physiological and ecological processes.
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied …

[HTML][HTML] Soil organic matter prediction model with satellite hyperspectral image based on optimized denoising method

X Meng, Y Bao, Q Ye, H Liu, X Zhang, H Tang… - Remote Sensing, 2021 - mdpi.com
In order to improve the signal-to-noise ratio of the hyperspectral sensors and exploit the
potential of satellite hyperspectral data for predicting soil properties, we took MingShui …

Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning

Z Feng, H Guan, T Yang, L He, J Duan, L Song… - … and Electronics in …, 2023 - Elsevier
As an important indicator of the photosynthetic capacity of crops, the canopy chlorophyll
content (CCC) is nondestructively estimated by reflectance using various spectrometers …