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MultiSPAS: Multi-Descriptor Physical Approaches to Computerized Plant Ecology

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Robotics, Machinery and Engineering Technology for Precision Agriculture

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 247))

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Abstract

It is proposed to combine “computational and mathematical” and “monitoring” approaches to kinetic physico-chemical systematics based on the correlations between the environmental conditions and the plant response in real-time. Combining a real experiment and a mathematical model provides higher accuracy, heuristic value, and data integration (for data mining and descriptor-based representation based on combination of cheminformatics and/or chemometrics and bioinformatics/biometrics). Development of this method involves using as many variables as required for representing the environmental parameters and the set of factors affecting the biome. Hence, it is not limited to the aquatic or atmospheric environment as in the case of MultiSPAS approaches or their analogs.

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Acknowledgements

The authors gratefully acknowledge their colleagues from the Department of Metrology and Measuring Instruments of GEOKHI RAS, who worked there in 2010–2014, as well as the colleagues from biogeochemical laboratory of GEOKHI RAS, who expressed their interest in this work, especially in the aspect of biogeochemical applications of the ion channel response analysis.

The authors gratefully acknowledge S.K. Pankratov, E.D. Adamovich and W. Lin for fruitful discussions after the main seminar in the theme of this article.

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Authors and Affiliations

  1. N.N. Semenov Institute of Chemical Physics, Kosygina 4, Moscow, 119991, Russia

    Feodor Orekhov & Oleg Gradov

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  1. Feodor Orekhov
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  2. Oleg Gradov
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  1. Saint Petersburg State Institute of Technology, Saint Petersburg, Russia

    Mark Shamtsyan

  2. Department of Information Engineering, Università degli Studi di Brescia, Brescia, Italy

    Marco Pasetti

  3. Don State Technical University, Rostov-on-Don, Russia

    Alexey Beskopylny

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Orekhov, F., Gradov, O. (2022). MultiSPAS: Multi-Descriptor Physical Approaches to Computerized Plant Ecology. In: Shamtsyan, M., Pasetti, M., Beskopylny, A. (eds) Robotics, Machinery and Engineering Technology for Precision Agriculture. Smart Innovation, Systems and Technologies, vol 247. Springer, Singapore. https://doi.org/10.1007/978-981-16-3844-2_30

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