Výsledky vyhledávání

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Report

Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response

Autor: Chatterjee, Shre Kumar, Das, Saptarshi, Maharatna, Koushik, Masi, Elisa, Santopolo, Luisa, Colzi, Ilaria, Mancuso, Stefano, Vitaletti, Andrea

Publikováno v: Sensors and Actuators B: Chemical, vol. 249, pp. 278-295, Oct. 2017

Plants monitor their surrounding environment and control their physiological functions by producing an electrical response. We recorded electrical signals from different plants by exposing them to Sodium Chloride (NaCl), Ozone (O3) and Sulfuric Acid

Externí odkaz: http://arxiv.org/abs/1707.07620

Zobrazit plný text záznamu

Report

Beyond the network of plants volatile organic compounds

Autor: Vivaldo, Gianna, Masi, Elisa, Taiti, Cosimo, Caldarelli, Guido, Mancuso, Stefano

Plants emission of volatile organic compounds (VOCs) is involved in a wide class of ecological functions, as VOCs play a crucial role in plants interactions with biotic and abiotic factors. Accordingly, they vary widely across species and underpin di

Externí odkaz: http://arxiv.org/abs/1704.08062

Zobrazit plný text záznamu

Report

Exploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response

Autor: Chatterjee, Shre Kumar, Das, Saptarshi, Maharatna, Koushik, Masi, Elisa, Santopolo, Luisa, Mancuso, Stefano, Vitaletti, Andrea

Publikováno v: Journal of the Royal Society Interface, vol. 12, no. 104, pp. 20141225, March 2015

Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, show both stochastic and deterministic dynamics. In this paper, we comp

Externí odkaz: http://arxiv.org/abs/1611.09820

Zobrazit plný text záznamu

Report

Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy

Autor: Das, Saptarshi, Ajiwibawa, Barry Juans, Chatterjee, Shre Kumar, Ghosh, Sanmitra, Maharatna, Koushik, Dasmahapatra, Srinandan, Vitaletti, Andrea, Masi, Elisa, Mancuso, Stefano

Publikováno v: Computers and Electronics in Agriculture, Volume 118, October 2015, Pages 15-23

Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-specific way is hindered because the knowledge of vital frequency inform

Externí odkaz: http://arxiv.org/abs/1611.09766

Zobrazit plný text záznamu

Report

Networks of plants: how to measure similarity in vegetable species

Autor: Vivaldo, Gianna, Masi, Elisa, Pandolfi, Camilla, Mancuso, Stefano, Caldarelli, Guido

Despite the common misconception of nearly static organisms, plants do interact continuously with the environment and with each other. It is fair to assume that during their evolution they developed particular features to overcome problems and to exp

Externí odkaz: http://arxiv.org/abs/1602.05887

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání