According to their Winter 2024 Extended Weather Forecast, which they've playfully dubbed, "The BRRR Is Back!" our part of the midwest, along with our neighbors to the north in Michigan, and those to the east in Ohio can expect a "cold and stormy" winter season, which sounds — um, ...
All the aforementioned studies suggest that future climate change will significantly affect yield stability, with notable regional differences. Precipitation changes, particularly during the growing period, are believed to have a great impact on plant growth and biomass accumulation (Wang et al., 2023)....
best-fit model included month as a fixed effect, and random effects for hive ID (different hives in each treatment) (Table3). In contrast to the predictions, alternative models incorporating bee strain and
Random Forest (RF) is a nonparametric machine learning method that constructs multiple decision trees and combines their results to make accurate and robust predictions. Additionally, RF can provide estimates of feature importance, helping to identify which variables are most influential in the ...
The 2023-2024 winter season will be the first winter with an El Niño since the 2018-19 winter season. El Nino Explained El Nino occurs when the water near the equator of the eastern Pacific Ocean is warmer than the historical average for an extended period. According to NOAA, this year...
They got 11.5 inches of snow from 2022 to 2023 versus the typical average of 46.2 inches. Washington D.C. typically accumulates 27.4 inches of snow within two years, but the current average stands at 8.4 inches." We have had less snow here in New Jersey over the past few winters, the ...
Multivariate time series models will analyze the interactions among these factors, enabling more accurate predictions of winter wheat growth under varying climatic conditions. 5. Conclusions In this paper, the sensitivity of winter wheat to extreme temperature–drought compound events is investigated by ...
Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: A case study using STARFM NDVI in Bavaria, Germany. Remote Sens. 2023, 15, 1830. [Google Scholar] [CrossRef] Shah, S.A.; Kiran, M. Mann-Kendall test: Trend analysis of temperature, rainfall, and ...
Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: A case study using STARFM NDVI in Bavaria, Germany. Remote Sens. 2023, 15, 1830. [Google Scholar] [CrossRef] Shah, S.A.; Kiran, M. Mann-Kendall test: Trend analysis of temperature, rainfall, and ...