Introduction to the Special Issue of Plants on “The Application of Spectral Techniques in Agriculture and Forestry” DOI Creative Commons
Youzhen Xiang

Plants, Journal Year: 2024, Volume and Issue: 13(18), P. 2632 - 2632

Published: Sept. 20, 2024

This Special Issue, titled “Applications of Spectral Technology in Agriculture and Forestry”, presents a collection cutting-edge research findings exploring various applications spectral analysis agricultural forestry environments [...]

Language: Английский

Quantitative inversion of soil trace elements from spectroscopic effects across multiple crop growth periods DOI Creative Commons
Daming Wang, Shawn W. Laffan, Jing Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104059 - 104059

Published: July 31, 2024

Human health is directly impacted by trace components found in soil, for which hyperspectral remote sensing technology offers a novel way to rapidly assess dynamic soil environmental quality. In most studies, the premise of quantitative inversion on elements that known target will cause growth stress. However, such stress unusual non-polluted areas. Consequently, broad-area element monitoring non-contaminated areas remains challenging. Spectral plant material has longer time window and more sensitive elemental changes than spectral (bare period). this work, we conducted wheat pot experiment with concentration gradients four (Fe, B, Mo, Zn), analyzed leaf (jointing stage) spike (maturity period) samples using measurements chemical tests, filtered characteristic positions inverse modeling spectra element-accumulating preference organs canopies. The canopy aggregation sites differed each element, both simple linear regression (SLR) multiple (MLR) models based achieved high accuracy. results study enable construction an model spectra-plant content-elements can serve as reference assessment typical crop cover

Language: Английский

Citations

1

Introduction to the Special Issue of Plants on “The Application of Spectral Techniques in Agriculture and Forestry” DOI Creative Commons
Youzhen Xiang

Plants, Journal Year: 2024, Volume and Issue: 13(18), P. 2632 - 2632

Published: Sept. 20, 2024

This Special Issue, titled “Applications of Spectral Technology in Agriculture and Forestry”, presents a collection cutting-edge research findings exploring various applications spectral analysis agricultural forestry environments [...]

Language: Английский

Citations

0