Search results for "YIELD"
showing 10 items of 1338 documents
Crop Yield Estimation and Interpretability With Gaussian Processes
2021
This work introduces the use of Gaussian processes (GPs) for the estimation and understanding of crop development and yield using multisensor satellite observations and meteo- rological data. The proposed methodology combines synergistic information on canopy greenness, biomass, soil, and plant water content from optical and microwave sensors with the atmospheric variables typically measured at meteorological stations. A com- posite covariance is used in the GP model to account for varying scales, nonstationary, and nonlinear processes. The GP model reports noticeable gains in terms of accuracy with respect to other machine learning approaches for the estimation of corn, wheat, and soybean …
Microclimat, eau et production
1990
It is generally known that the whole of climatic factors affects directly the principal biological functions and the processes influencing crop yield. However, the control of these factors remains very difficult. Research is carried out adapting different crops to the average daily climatic characteristics and to their seasonal evolution instead of modifying the crops genetically and physiologically. Since all times the control of the factor water, not from rainfall but from irrigation, gives possibilities to modify directly the characteristics of the microclimate in the plant canopy.
Errors and uncertainties introduced by a regional climate model in climate impact assessments: example of crop yield simulations in West Africa
2015
16 pages; International audience; The challenge of estimating the potential impacts of climate change has led to an increasing use of dynamical downscaling to produce fine spatial-scale climate projections for impact assessments. In this work, we analyze if and to what extent the bias in the simulated crop yield can be reduced by using the Weather Research and Forecasting (WRF) regional climate model to downscale ERA-Interim (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) rainfall and radiation data. Then, we evaluate the uncertainties resulting from both the choice of the physical parameterizations of the WRF model and its internal variability. Impact assessments w…
"Table 2" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = 2…
2017
Invariant yield of $\phi$ meson normalized to the number of inelastic pp collisions at $\sqrt{s}=2.76~{\rm TeV}$.
"Table 1" of "Measurement of dielectron production in central Pb-Pb collisions at $\sqrt{{\textit{s}}_{\mathrm{NN}}}$ = 2.76 TeV"
2018
Dielectron invariant-mass spectrum measured in central Pb-Pb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV. The statistical and systematic uncertainties of the data are represented by vertical bars and boxes.
"Table 5" of "Measurement of dielectron production in central Pb-Pb collisions at $\sqrt{{\textit{s}}_{\mathrm{NN}}}$ = 2.76 TeV"
2018
Dielectron invariant-mass spectrum measured in central Pb-Pb collisions for the transverse-momentum interval 1.0 < $p_{\rm T,ee}$ < 2.0 GeV/$c. The statistical and systematic uncertainties of the data are represented by vertical bars and boxes.
"Table 6" of "Measurement of dielectron production in central Pb-Pb collisions at $\sqrt{{\textit{s}}_{\mathrm{NN}}}$ = 2.76 TeV"
2018
Dielectron invariant-mass spectrum measured in central Pb--Pb collisions for the transverse-momentum interval 2.0 < $p_{\rm T,ee}$ < 4.0 GeV/$c. The statistical and systematic uncertainties of the data are represented by vertical bars and boxes.
"Table 14" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = …
2017
Invariant yield of $\phi$ meson for 40-50$\%$ centrality in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76~{\rm TeV}$.
"Table 15" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = …
2017
Invariant yield of $\phi$ meson for 60-80$\%$ centrality in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76~{\rm TeV}$.
"Table 11" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = …
2017
Invariant yield of $\phi$ meson for 10-20$\%$ centrality in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76~{\rm TeV}$.