Results 171 to 180 of about 197,559 (308)

Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm. [PDF]

Plant Methods, 2023
Pan W, Wang X, Sun Y, Wang J, Li Y, Li S.   +5 more
europepmc   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

<i>In situ</i> estimation of cotton fourth internode length and height-to-node ratio using UAV-derived vegetation indices and machine learning algorithms. [PDF]

Front Plant Sci
Ngimbwa PC, Kiobia DO, Mwitta CJ, Porter WM, Velni JM, Rains GC.   +5 more
europepmc   +1 more source

Comparative assessment of satellite- and drone-based vegetation indices to predict arthropod biomass in shrub-steppes. [PDF]

Ecol Appl, 2022
Traba J, Gómez-Catasús J, Barrero A, Bustillo-de la Rosa D, Zurdo J, Hervás I, Pérez-Granados C, García de la Morena EL, Santamaría A, Reverter M.   +9 more
europepmc   +1 more source

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

Deep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He, Linglu Xu, Xiao Tan, Wenhua Zhuang, Naiwen Li, Chao Liu, Bo Tan   +6 more
wiley   +1 more source

SENet-SVWF: a spectral vegetation indices and wavelet features fusion method using squeeze and excitation network for predicting the SPAD value of maize leaves. [PDF]

BMC Plant Biol
Yan B, Zhang F, Zhang F, Zhang Y, Wang Y, Fu S.   +5 more
europepmc   +1 more source

Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield. [PDF]

Plant Methods, 2022
Fei S, Li L, Han Z, Chen Z, Xiao Y.
europepmc   +1 more source

Geodiversity is an inseparable but underutilized aspect of ecological connectivity assessments under climate change

Ecography, EarlyView.
Conservation has shifted towards a climate change adaptation approach in which expected species range shifts are increasingly considered to mitigate effects of climate change and habitat fragmentation on biodiversity. As part of this, ecological connectivity needs to be ensured to support gene flow and viable populations in the face of changing ...
Aino‐Maija Määttänen, Maria Hällfors, Julia Kemppinen   +2 more
wiley   +1 more source

Mature Rice Biomass Estimation Using UAV-Derived RGB Vegetation Indices and Growth Parameters. [PDF]

Sensors (Basel)
Liao M, Wang Y, Chu N, Li S, Zhang Y, Lin D.   +5 more
europepmc   +1 more source

The impact of variable illumination on vegetation indices and evaluation of illumination correction methods on chlorophyll content estimation using UAV imagery. [PDF]

Plant Methods, 2023
Wang Y, Yang Z, Kootstra G, Khan HA.
europepmc   +1 more source