Stimulation of soy seeds using environmentally friendly magnetic and electric fields
Agata Dziwulska-Hunek, Agnieszka Niemczynowicz, Rados{\l}aw A. Kycia, Arkadiusz Matwijczuk, Krzysztof Kornarzy\'nski, Joanna Stadnik, Mariusz Szymanek

TL;DR
This study investigates how environmentally friendly magnetic and electric fields influence soy seed growth and photosynthesis, using machine learning to analyze physical effects on different cultivars and identifying positive impacts on germination and emergence.
Contribution
It introduces a novel application of machine learning to distinguish physical field effects on soy plant growth parameters and demonstrates observable impacts of electromagnetic stimulation on soy cultivars.
Findings
Magnetic fields positively affected germination in Merlin cultivar.
Physical fields influenced emergence and plant number, especially in Mavka.
Machine learning successfully distinguished effects of physical factors on photosynthetic parameters.
Abstract
The study analyzes the impact of constant and alternating magnetic fields and alternating electric fields on various growth parameters of soy plants: the germination energy and capacity, plants emergence and number, the Yield(II) of the fresh mass of seedlings, protein content, and photosynthetic parameters. Four cultivars were used: MAVKA, MERLIN, VIOLETTA, and ANUSZKA. Moreover, the advanced Machine Learning processing pipeline was proposed to distinguish the impact of physical factors on photosynthetic parameters. It is possible to distinguish exposition on different physical factors for the first three cultivars; therefore, it indicates that the EM factors have some observable effect on soy plants. Moreover, some influence of physical factors on growth parameters was observed. The use of ELM (Electromagnetic) fields had a positive impact on the germination rate in Merlin plants. The…
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Taxonomy
TopicsMagnetic and Electromagnetic Effects · Biofield Effects and Biophysics
