Mapping several soil types using hyperspectral datasets and advanced machine learning methods
Specifying surface soil types is vital for healthy agricultural management to enhance food production. Recent advancements in machine learning are essential in soil science, quantitatively predicting and classifying soil types. The current study concentrates on generating and testing the spectral li...
Main Authors: | Amol D. Vibhute, Karbhari V. Kale |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-07-01
|
Series: | Results in Optics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666950123001554 |
Similar Items
-
Soils of Barbués and Torres de Barbués, Ebro Basin, NE Spain
by: Carmen Castañeda, et al.
Published: (2017-11-01) -
Determination of soil physicochemical attributes in farming sites through visible, near-infrared diffuse reflectance spectroscopy and PLSR modeling
by: Amol D. Vibhute, et al.
Published: (2018-07-01) -
Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate
by: Sherin mohyaldeen, et al.
Published: (2022-06-01) -
Visible and Near-Infrared Reflectance Spectroscopy Analysis of a Coastal Soil Chronosequence
by: Guanghui Zheng, et al.
Published: (2019-10-01) -
Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties
by: Issam Barra, et al.
Published: (2023-11-01)