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Numerical Messages of Plants Under Different Stresses


Affiliations
1 Laboratory of Biophysics, Department of Physics,University of Yaounde I, P.O. Box 812, Yaounde, Cameroon
2 Laboratory of Phytopathology, Department of Biology and Vegetal Physiology, University of Yaounde I, P. O. Box 812, Yaounde, Cameroon
3 Laboratory of Mechanics, Department of Physics, University of Yaoundé I, P.O. Box 812, Yaounde, Cameroon
 

Electrical behaviour of plants under different conditions is studied. It is obvious that electrical response of these plants is characteristic of their physiological state. The present study was conducted to first provide numerical and possible alphabetic messages corresponding to the physiological state of plants under different stresses. Secondly, to calculate and compare their entropies. We used electrical conductance values obtained during the study of electrical behaviour of Solanum lycopersicum and Spinacia oleracea under different stresses to construct the probabilities tables of symbols appearance. Using Huffman coding, we constructed dictionaries and deducted the numerical and alphabetic messages. For each plant stress, the entropy was calculated. The entropy of infected S. lycopersicum was higher than healthy plants. Numerical and alphabetic messages of healthy S. lycopersicum are ‘000111110010110010111011101100111010001- 01001011000110000’ and ‘Holy lycopersicum’ respectively. For the infected plants they are ‘110011- 11101010 10001011010111001110100010 10010000 0110001’ and ‘leaf infected up so’ respectively. Numerical and alphabetic messages of lit S. oleracea and unlit S. oleracea were respectively, ‘100101- 010011110000001111110001’, ‘up oleracea’ and ‘001100 010011110101111000110111’, ‘of Spinacia’. This study goes beyond the electric characterization of plants under stress and tries to establish a communication between plants under stress and human beings. The approach may lead to the design of a sensor to translate messages coming from plants under stress.

Keywords

Entropy, Numerical Messages, Solanum lycopersicum, Spinacia oleracea, Stress.
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  • Numerical Messages of Plants Under Different Stresses

Abstract Views: 418  |  PDF Views: 122

Authors

M. Teuma Mbezi
Laboratory of Biophysics, Department of Physics,University of Yaounde I, P.O. Box 812, Yaounde, Cameroon
Ambang Zachée
Laboratory of Phytopathology, Department of Biology and Vegetal Physiology, University of Yaounde I, P. O. Box 812, Yaounde, Cameroon
H. Ekobena Fouda
Laboratory of Biophysics, Department of Physics,University of Yaounde I, P.O. Box 812, Yaounde, Cameroon
C. Kofane Timoleon
Laboratory of Mechanics, Department of Physics, University of Yaoundé I, P.O. Box 812, Yaounde, Cameroon

Abstract


Electrical behaviour of plants under different conditions is studied. It is obvious that electrical response of these plants is characteristic of their physiological state. The present study was conducted to first provide numerical and possible alphabetic messages corresponding to the physiological state of plants under different stresses. Secondly, to calculate and compare their entropies. We used electrical conductance values obtained during the study of electrical behaviour of Solanum lycopersicum and Spinacia oleracea under different stresses to construct the probabilities tables of symbols appearance. Using Huffman coding, we constructed dictionaries and deducted the numerical and alphabetic messages. For each plant stress, the entropy was calculated. The entropy of infected S. lycopersicum was higher than healthy plants. Numerical and alphabetic messages of healthy S. lycopersicum are ‘000111110010110010111011101100111010001- 01001011000110000’ and ‘Holy lycopersicum’ respectively. For the infected plants they are ‘110011- 11101010 10001011010111001110100010 10010000 0110001’ and ‘leaf infected up so’ respectively. Numerical and alphabetic messages of lit S. oleracea and unlit S. oleracea were respectively, ‘100101- 010011110000001111110001’, ‘up oleracea’ and ‘001100 010011110101111000110111’, ‘of Spinacia’. This study goes beyond the electric characterization of plants under stress and tries to establish a communication between plants under stress and human beings. The approach may lead to the design of a sensor to translate messages coming from plants under stress.

Keywords


Entropy, Numerical Messages, Solanum lycopersicum, Spinacia oleracea, Stress.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi12%2F2049-2052