127 related articles for article (PubMed ID: 34283823)
1. Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.
Parent EJ; Parent SÉ; Parent LE
PLoS One; 2021; 16(7):e0233242. PubMed ID: 34283823
[TBL] [Abstract][Full Text] [Related]
2. A comparative study of MIR and NIR spectral models using ball-milled and sieved soil for the prediction of a range soil physical and chemical parameters.
Bachion de Santana F; Daly K
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Oct; 279():121441. PubMed ID: 35667135
[TBL] [Abstract][Full Text] [Related]
3. Spatial modelling of topsoil properties in Romania using geostatistical methods and machine learning.
Patriche CV; Roşca B; Pîrnău RG; Vasiliniuc I
PLoS One; 2023; 18(8):e0289286. PubMed ID: 37611038
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils.
Dhawale NM; Adamchuk VI; Prasher SO; Rossel RAV; Ismail AA
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408171
[TBL] [Abstract][Full Text] [Related]
5. In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy.
Wenjun J; Zhou S; Jingyi H; Shuo L
PLoS One; 2014; 9(8):e105708. PubMed ID: 25153132
[TBL] [Abstract][Full Text] [Related]
6. Use of soil spectral reflectance to estimate texture and fertility affected by land management practices in Ethiopian tropical highland.
Tiruneh GA; Meshesha DT; Adgo E; Tsunekawa A; Haregeweyn N; Fenta AA; Belay AW; Tadesse N; Fekadu G; Reichert JM
PLoS One; 2022; 17(7):e0270629. PubMed ID: 35862343
[TBL] [Abstract][Full Text] [Related]
7. Predicting Soil Properties and Interpreting Vis-NIR Models from across Continental United States.
Clingensmith CM; Grunwald S
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590876
[TBL] [Abstract][Full Text] [Related]
8. Application of Near-infrared Spectroscopy and Multiple Spectral Algorithms to Explore the Effect of Soil Particle Sizes on Soil Nitrogen Detection.
Xiao S; He Y
Molecules; 2019 Jul; 24(13):. PubMed ID: 31284656
[TBL] [Abstract][Full Text] [Related]
9. In Situ VIS-NIR Spectroscopy for a Basic and Rapid Soil Investigation.
Debaene G; Bartmiński P; Siłuch M
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420662
[TBL] [Abstract][Full Text] [Related]
10. Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy.
Xu S; Shi X; Wang M; Zhao Y
PLoS One; 2016; 11(3):e0151536. PubMed ID: 26974821
[TBL] [Abstract][Full Text] [Related]
11. Prediction of soil organic carbon in a coal mining area by Vis-NIR spectroscopy.
Sun W; Li X; Niu B
PLoS One; 2018; 13(4):e0196198. PubMed ID: 29677214
[TBL] [Abstract][Full Text] [Related]
12. In situ measurements of organic carbon in soil profiles using vis-NIR spectroscopy on the Qinghai-Tibet plateau.
Li S; Shi Z; Chen S; Ji W; Zhou L; Yu W; Webster R
Environ Sci Technol; 2015 Apr; 49(8):4980-7. PubMed ID: 25828919
[TBL] [Abstract][Full Text] [Related]
13. Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra.
Peng Y; Xiong X; Adhikari K; Knadel M; Grunwald S; Greve MH
PLoS One; 2015; 10(11):e0142295. PubMed ID: 26555071
[TBL] [Abstract][Full Text] [Related]
14. High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models.
Forkuor G; Hounkpatin OK; Welp G; Thiel M
PLoS One; 2017; 12(1):e0170478. PubMed ID: 28114334
[TBL] [Abstract][Full Text] [Related]
15. Prediction and variability mapping of some physicochemical characteristics of calcareous topsoil in an arid region using Vis-SWNIR and NIR spectroscopy.
Alomar S; Mireei SA; Hemmat A; Masoumi AA; Khademi H
Sci Rep; 2022 May; 12(1):8435. PubMed ID: 35589835
[TBL] [Abstract][Full Text] [Related]
16. Fractal features of soil particle size distribution under different land-use patterns in the alluvial fans of collapsing gullies in the hilly granitic region of southern China.
Deng Y; Cai C; Xia D; Ding S; Chen J
PLoS One; 2017; 12(3):e0173555. PubMed ID: 28301524
[TBL] [Abstract][Full Text] [Related]
17. Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy.
Shi Z; Yin J; Li B; Sun F; Miao T; Cao Y; Shi Z; Chen S; Hu B; Ji W
Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447814
[TBL] [Abstract][Full Text] [Related]
18. [Prediction of soil organic carbon in different soil fractions of black soils in Northeast China using near-infrared reflectance spectroscopy].
Fan RQ; Yang XM; Zhang XP; Shen Y; Liang AZ; Shi XH; Wei SC; Chen XW
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Feb; 32(2):349-53. PubMed ID: 22512166
[TBL] [Abstract][Full Text] [Related]
19. Real-time release testing of dissolution based on surrogate models developed by machine learning algorithms using NIR spectra, compression force and particle size distribution as input data.
Galata DL; Könyves Z; Nagy B; Novák M; Mészáros LA; Szabó E; Farkas A; Marosi G; Nagy ZK
Int J Pharm; 2021 Mar; 597():120338. PubMed ID: 33545285
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy.
Vestergaard RJ; Vasava HB; Aspinall D; Chen S; Gillespie A; Adamchuk V; Biswas A
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695958
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
