Eﬀectiveness of a  Mobile Paddy Expert System in Pest Diagnosis

Janarthanan  Rengaraju; Senthil kumar   Manivasagam

doi:10.26725/JEE.2021.1.33.6571-6575

Eﬀectiveness of a Mobile Paddy Expert System in Pest Diagnosis

Authors

Janarthanan Rengaraju TNAU https://orcid.org/0000-0002-0153-5416
Senthil kumar Manivasagam TNAU

DOI:

https://doi.org/10.26725/JEE.2021.1.33.6571-6575

Abstract

'Crop doctor' is a component in a mobile application developed by Tamil Nadu Agricultural University (TNAU) for diagnosing pest and diseases in paddy and aids in availing management solutions. The study was conducted among paddy growers in Tamil Nadu through an 'after only' experimental design to ﬁnd out the diagnostic usability of 'Crop doctor' in Paddy Expert System mobile application of TNAU in diagnosis of pest and disease in paddy. Diagnostic Usability of crop doctor component among the respondents revealed that overall eﬀectiveness of the mobile application was found to be at 73.20 percent.

Author Biographies

Janarthanan Rengaraju, TNAU

Department of Agricultural Extension, TNAU, Coimbatore - 641 003

Senthil kumar Manivasagam, TNAU

Directorate of Extension Education, TNAU, Coimbatore - 641 003

References

Lewis, J. R. (2014). Usability: lessons learned and yet to be learned. International Journal of Human-Computer Interaction, 30 (9), 663-684.

National Sample Survey Organization (NSSO). (2018). Household social consumption. 75th round. Ministry of Statistics a n d P r o g r a m m e Implementation, p 1504

Simorangkir, Dhiar, G, Sarwoko, E.A, Sasongko, P.S & Endah, S.N. (2018). Usability testing of corn disease and pest detection on a mobile application. P a p e r presented at Second International Conference on Informatics and Computational Sciences.

Singh, A.K., Singh, R. Adhiguru, P., Hajare, R Singh, S.K., Bharti, V.K. & Bhasin, P. (2018). Krishi gyan (1st ed., Vol. 1) [E-book]. ICAR.

Downloads

Published

2022-07-24

How to Cite

Rengaraju, J. ., & Manivasagam, S. kumar . (2022). Eﬀectiveness of a Mobile Paddy Expert System in Pest Diagnosis. Journal of Extension Education, 33(1), 6571–6575. https://doi.org/10.26725/JEE.2021.1.33.6571-6575

Download Citation

Issue

Vol. 33 No. 1 (2021): JOURNAL OF EXTENSION EDUCATION

Section

Research Article

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who publish with JEE agree to the following terms:

Authors retain copyright and grant JEE right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Extension Education Society

https://creativecommons.org/licenses/by-nc-sa/4.0/