Stimulation of soy seeds using environmentally friendly magnetic and electric fields
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866908375538728960 |
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| author | Dziwulska-Hunek, Agata Niemczynowicz, Agnieszka Kycia, Radosław A. Matwijczuk, Arkadiusz Kornarzyński, Krzysztof Stadnik, Joanna Szymanek, Mariusz |
| author_facet | Dziwulska-Hunek, Agata Niemczynowicz, Agnieszka Kycia, Radosław A. Matwijczuk, Arkadiusz Kornarzyński, Krzysztof Stadnik, Joanna Szymanek, Mariusz |
| contents | 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 highest values were recorded for the constant magnetic field (CMF) - Merlin, and the lowest for the alternating electric field (AEF) - Violetta. An increase in terms of emergence and number of plants after seed stimulation was observed for the Mavka cultivar, except for the AEF treatment (number of plants after 30 days) (...) |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_09240 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Stimulation of soy seeds using environmentally friendly magnetic and electric fields Dziwulska-Hunek, Agata Niemczynowicz, Agnieszka Kycia, Radosław A. Matwijczuk, Arkadiusz Kornarzyński, Krzysztof Stadnik, Joanna Szymanek, Mariusz Quantitative Methods Machine Learning Applications 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 highest values were recorded for the constant magnetic field (CMF) - Merlin, and the lowest for the alternating electric field (AEF) - Violetta. An increase in terms of emergence and number of plants after seed stimulation was observed for the Mavka cultivar, except for the AEF treatment (number of plants after 30 days) (...) |
| title | Stimulation of soy seeds using environmentally friendly magnetic and electric fields |
| topic | Quantitative Methods Machine Learning Applications |
| url | https://arxiv.org/abs/2211.09240 |