CFP last date
20 January 2025
Reseach Article

Design and Implementation of Plant Phenotyping using Smart Electronic Automation

by Dileep K. T., Cyril Prasanna Raj P., Ajey S. S.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 15
Year of Publication: 2018
Authors: Dileep K. T., Cyril Prasanna Raj P., Ajey S. S.
10.5120/ijca2018916098

Dileep K. T., Cyril Prasanna Raj P., Ajey S. S. . Design and Implementation of Plant Phenotyping using Smart Electronic Automation. International Journal of Computer Applications. 179, 15 ( Jan 2018), 26-28. DOI=10.5120/ijca2018916098

@article{ 10.5120/ijca2018916098,
author = { Dileep K. T., Cyril Prasanna Raj P., Ajey S. S. },
title = { Design and Implementation of Plant Phenotyping using Smart Electronic Automation },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 179 },
number = { 15 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number15/28877-2018916098/ },
doi = { 10.5120/ijca2018916098 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:27.289329+05:30
%A Dileep K. T.
%A Cyril Prasanna Raj P.
%A Ajey S. S.
%T Design and Implementation of Plant Phenotyping using Smart Electronic Automation
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 15
%P 26-28
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present paper describes the Low-Cost Electronic Automation Unit for Plant Data Acquisition in Plant Phenotyping in which the whole system is made automatic controllable through the sensors. The image capturing of the plant that is the Plant Phenotyping process is done at different angles using a camera and a servo motor. The regular watering system is done automated by obtaining two different results of the water content of the soil present in that particular pot where the plant is present that is through Image Processing, and the Load of the Pot . Automated watering system to the Pot is done through the Solenoid water valve comparing with the results of the water content present in soil.

References
  1. C. Granier, L. Aguirrezabal, K. Chenu, S. J.Cookson, M. Dauzat, P. Hamard, J.-J. Thioux, G.Rolland, S. Bouchier-Combaud, A. Lebaudy, B. Muller,T.Simonneau, and F. Tardieu, “PHENOPSIS, anautomated platform for reproducible phenotyping ofplant responses to soil water deficit in Arabidopsisthaliana permitted the identification of an accessionwith low sensitivity to soil water deficit.,” New Phytol.,vol. 169, no. 3, pp. 623–35, Jan. 2006.
  2. M. Bylesjö, V. Segura, R. Y. Soolanayakanahally, A. M. Rae, J. Trygg, P. Gustafsson,S. Jansson, and N. R. Street, “LAMINA: a tool for rapid quantification of leaf size and shape parameters.,” BMC Plant Biol., vol. 8, no. 1, p. 82, Jan. 2008.
  3. A. Hartmann, T. Czauderna, R. Hoffmann, N.Stein, and F. Schreiber, “HTPheno: an image analysis pipeline for high-throughput plant phenotyping.,” BMC Bioinformatics, vol. 12, no. 1, p. 148, Jan. 2011.
  4. D. Houle, D. R. Govindaraju, and S. Omholt, “Phenomics: the next challenge.,” Nat. Rev. Genet., vol. 11, no. 12, pp. 855–66, Dec. 2010.
  5. R. T. Furbank and M. Tester, “Phenomics--technologies to relieve the phenotyping bottleneck.” Trends Plant Sci., vol. 16, no. 12, pp. 635– 44, Dec. 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Arduino Mega 2560 Servo Motor DC Motor IR Sensor Soil Sensor Camera Load sensor.