Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa. [PDF]
Lemenkova P, Debeir O.
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The introduction outlines the review scope. Microbial cell factories as living drugs cover host–gut microbiota, bacteria, yeast, and other microbial systems, with comparative host advantages. Engineering strategies include synthetic circuits, quorum sensing, and memory.
Cemile Elif Özçelik +3 more
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Variation in Assessment of Leaf Pigment Content from Vegetation Indices Caused by Positions and Widths of Spectral Channels. [PDF]
Machikhin A +7 more
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm. [PDF]
Pan W +5 more
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Abstract Industrial wastewater contamination by azo dyes poses a significant environmental challenge. This study reports the green synthesis of bimetallic iron/nickel (Fe/Ni) nanoparticles using moringa leaf extract, which acted as both a reducing and capping agent, and their incorporation into polyethersulphone (PES) membranes to produce eco‐friendly ...
Qusay A. Almajras +7 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]
Ngimbwa PC +5 more
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Comparative assessment of satellite- and drone-based vegetation indices to predict arthropod biomass in shrub-steppes. [PDF]
Traba J +9 more
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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 +12 more
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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]
Yan B +5 more
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Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield. [PDF]
Fei S, Li L, Han Z, Chen Z, Xiao Y.
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