Background
Taking into account what has been reported by numerous authors over the past decades regarding the causal relationship between Space Weather and solar eruptive activity and the Biosphere in general, it is of scientific and practical interest to delve into the connections that have shown some relationship, aiming to counteract the negative effects and leverage the potential benefits of using such knowledge for the benefit of humankind. Such is the case of agricultural performance, where in recent years its relationship and synchronization with the multi-year cycles of solar activity have been identified. The eleven-year cycles (11 ± 1 years) of solar activity, recorded since 1700, have been forecasted with considerable precision in recent decades concerning the occurrence of minimums and maximums. This allows for anticipation, with corresponding error, of the years expected to witness increases or decreases in agricultural productivity for numerous crops demonstrating the mentioned synchronization. This insight could lead to better resource planning in the short and medium term, aiming to achieve a more favorable cost-benefit ratio and profitability in the agri-food industry, which constitutes the objective of this type of research.
Methodology:
The Fast Fourier Transform (FFT) and tools from Microcal Origin 6.0 were employed.
Results
The results of the analysis of time series data on the yield of 10 economically important agricultural products in Germany concerning solar activity cycles are presented. These were graphically analyzed using cross-correlation and their spectra.
Conclusion
The obtained result supports the hypothesis of a temporal association between the studied phenomena.