methods must be evaluated for each series of soilse6
Verbatim
e6
“This clearly indicates that methods must be evaluated for each series of soils to be compared”
e1
“Correlation coefficients between values produced and phosphate uptake during a twomonth period from 16 soils (pH range 3.85 to 7.85) by Urtica dioica L., a phosphate-sensitive plant, differed markedly”
“Correlation coefficients between values produced and phosphate uptake during a twomonth period from 16 soils (pH range 3.85 to 7.85) by Urtica dioica L., a phosphate-sensitive plant, differed markedly”
e5
“Multiple regression analysis of the data showed that there were strong and different interactions between all methods investigated and soil properties, particularly soil pH, organic matter content, extractable iron, C/P and C/N”
“Correlation coefficients between values produced and phosphate uptake during a twomonth period from 16 soils (pH range 3.85 to 7.85) by Urtica dioica L., a phosphate-sensitive plant, differed markedly”
e3
“The isotope dilution methods, with the exception of one, all gave positive correlation coefficients, varying from r = -0.676 for the carrier-free method of Talibudeen to r = 0.798 for a modified Amer carrier method”
“The differences in residual sum of squares between the linear vs. nonlinear estimationmethods, and that between the continuous vs. discontinuous functions, were significant.”
t0
“Root Water Uptake Simulation”
e1
“The model calibration and validation were carried out using the data for soybean [ Glycine max (L.) Merr.] grown in large soil columns.”
“The differences in residual sum of squares between the linear vs. nonlinear estimationmethods, and that between the continuous vs. discontinuous functions, were significant.”
t0
“Root Water Uptake Simulation”
e1
“The model calibration and validation were carried out using the data for soybean [ Glycine max (L.) Merr.] grown in large soil columns.”
“In a blind comparison, METRIC compared favorably with the estimated ETa rates found using the BREBS (ETλE), with a difference in total estimated ETa for the cover crop season of 7%.”
“Little difference was observed between the two methods, but the values calculated from the elemental analysis data tended to be higher than those calculated from the heats of combustion data.”
Mohammad Zare; Katrin Drastig; Manuela Zude-Sasse 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)2019. doi:10.1109/metroagrifor.2019.8909262
Comparison of Machine Learning Methods for Estimating Leaf Area Index and Aboveground Biomass of Cinnamomum camphora Based on UAV Multispectral Remote Sensing Data1
“The accuracy of model estimation based on RF is significantly different for different model inputs, while the other four models have small differences.”
Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
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Urtica dioicae1
Glycine max
Sphagnum
Vitis
Vicia faba
Malus domestica
Citrus
Medicago sativa
Zea mays subsp. mays_(32109153283).jpg?width=60){kind=small}
Cinnamomum camphora