Cargando…
Remotely sensed estimation of total iron content in soil with harmonic analysis and BP neural network
BACKGROUND: The estimation of total iron content at the regional scale is of much significance as iron deficiency has become a routine problem for many crops. METHODS: In this study, a novel method for estimating total iron content in soil (TICS) was proposed using harmonic analysis (HA) and back pr...
Autores principales: | Jiang, Xueqin, Luo, Shanjun, Fang, Shenghui, Cai, Bowen, Xiong, Qiang, Wang, Yanyan, Huang, Xia, Liu, Xiaojuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588717/ https://www.ncbi.nlm.nih.gov/pubmed/34772413 http://dx.doi.org/10.1186/s13007-021-00812-8 |
Ejemplares similares
-
Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes
por: Luo, Shanjun, et al.
Publicado: (2022) -
Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing
por: Wei, Lifei, et al.
Publicado: (2020) -
Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization
por: Liu, Qixin, et al.
Publicado: (2022) -
A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm
por: Yue, Qianqian, et al.
Publicado: (2022) -
Estimation of the Effect of Soil Texture on Nitrate-Nitrogen Content in Groundwater Using Optical Remote Sensing
por: Witheetrirong, Yongyoot, et al.
Publicado: (2011)