Results 61 to 70 of about 170,155 (161)

Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches

Frontiers in Plant Science
Optimizing biomass partitioning is essential for achieving sustainable yield improvement in wheat, particularly under increasing environmental stress.
Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown-Guedira   +8 more
doaj   +1 more source

Establishment and comparison of prediction models for soil black carbon content in urban areas based on Vis–NIR data and environmental covariates

International Journal of Digital Earth
Rapid urbanization has led to significant accumulation of black carbon (BC) in urban soils, threatening ecological safety and human health. Existing methods for quantifying soil BC remain limited by complexity and poor applicability at large scale.
Xiuwen Zhong, Long Guo, Peng Fu, Zhenfeng Shao, Chaoya Dang, Qingwei Zhuang, Peiqing Jing, Xiaodi Xu, Jinyang Wang, Li Tan, Yingyue Pan   +10 more
doaj   +1 more source

Spatial Heterogeneity of Soil Organic Matter and Its Driving Mechanisms in the Dayangshu Area of the Songnen Plain

Land
Understanding the spatial heterogeneity of deep soil organic matter is critical for terrestrial carbon cycling, yet its driving mechanisms remain elusive due to a historical research bias toward surface layers. This study develops a 3D spatial prediction
Yongliang Wang, Surigala Tai, Yongchun Li, Rong She, Wenpeng Shi   +4 more
doaj   +1 more source

Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica

Revista Brasileira de Ciência do Solo, 2018
: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil ...
André Geraldo de Lima Moraes, Marcio Rocha Francelino, Waldir de Carvalho Junior, Marcos Gervasio Pereira, André Thomazini, Carlos Ernesto Gonçalves Reynaud Schaefer   +5 more
doaj   +1 more source

Spatial Modeling of Olive Oil Polyphenol Content and Phenolic Terroirs Using Empirical Bayesian Kriging Regression Prediction

Agronomy
Following the 2021 Montiferru wildfire, one of the largest wildfire events in modern Italian history, assessing the suitability of olive-growing environments for high-quality extra virgin olive oil (EVOO) production is crucial for supporting sustainable ...
Marco Campus, Fabio Piras, Gianluigi Pili, Michele Fiori, Giovanni Bussu, Damiano Muru, Giorgia Damasco, Francesca Frongia, Piergiorgio Sedda, Emanuele Cauli   +9 more
doaj   +1 more source

Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran

Land
(1) Background: The use of multiscale prediction or the optimal scaling of predictors can enhance soil maps by applying pixel size in digital soil mapping (DSM).
Pegah Khosravani, Majid Baghernejad, Ruhollah Taghizadeh-Mehrjardi, Seyed Roohollah Mousavi, Ali Akbar Moosavi, Seyed Rashid Fallah Shamsi, Hadi Shokati, Ndiye M. Kebonye, Thomas Scholten   +8 more
doaj   +1 more source

Prediction of soil texture using remote sensing data. A systematic review

Frontiers in Remote Sensing
Soil particle size fractions play a critical role in determining soil health attributes, including soil aeration, water infiltration and retention capacity, nutrients, and organic matter dynamics.
R. N. Mgohele, R. N. Mgohele, B. H. J. Massawe, M. J. Shitindi, H. G. Sanga, M. M. Omar, M. M. Omar   +6 more
doaj   +1 more source

Correction to: Genomic selection using random regressions on known and latent environmental covariates. [PDF]

Theor Appl Genet, 2023
Tolhurst DJ, Gaynor RC, Gardunia B, Hickey JM, Gorjanc G.   +4 more
europepmc   +1 more source

A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk. [PDF]

BMC Infect Dis, 2023
Lim AY, Jafari Y, Caldwell JM, Clapham HE, Gaythorpe KAM, Hussain-Alkhateeb L, Johansson MA, Kraemer MUG, Maude RJ, McCormack CP, Messina JP, Mordecai EA, Rabe IB, Reiner RC, Ryan SJ, Salje H, Semenza JC, Rojas DP, Brady OJ.   +18 more
europepmc   +1 more source

A UAV Hyperspectral Inversion Framework for Mapping Soil Heavy Metals Based on Spectral Harmonization, Weighted Ensemble Learning, and Environmental Variable Integration

Remote Sensing
Accurate identification of HMs contamination in mine tailings is essential for understanding pollution and supporting remediation. However, conventional laboratory monitoring is labor-intensive, time-consuming, and spatially discontinuous, while UAV ...
Jiaao Yu, Zhen Chen, Hongchen Yi, Tianni Chi, Shuangjian Wang, Leilei Zhang, Wei Fan, Mingxin Huo   +7 more
doaj   +1 more source