Development of decision support system (DSS) for forecasting of gray mold disease of castor (Ricinus communis L.) using internet of things (IOTs)


Abstract views: 25 / PDF downloads: 2

Development of decision support system (DSS) for forecasting of gray mold disease of castor (Ricinus communis L.) using internet of things (IOTs)

Authors

  • R D PRASAD ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • C SARADA ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • B BALAJI NAIK ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • SANTOSH SAM KOSHY ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • R ARUTSELAN ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • P RAVIKUMAR ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana
  • A VISHNUVARDHAN REDDY ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad-500 030, Telangana

https://doi.org/10.56739/jor.v37iSpecialissue.141308

Keywords:

DSS, Castor, Gray mold, IOTs

Abstract

Gray mold disease of castor caused by the fungus Botryotinia ricini is responsible for disease epidemics and
heavy yield losses in castor growing regions of Telangana. An experiment was conducted in castor growing areas to understand the crop-weather-disease relations using wireless sensors, disease prediction models and Decision Support System (DSS). The DSS uses these weather data along with crop and management information to drive disease forecasting systems and a validated model of the disease to generate location specific management recommendations for fungicide application.

Downloads

Download data is not yet available.

References

Koshy S S, Sunnam V S, Rajgarhia P, Chinnusamy K, Ravulapalli D P and Chunduri S 2018. Application of the

internet of things (IoT) for smart farming: A case study on groundnut and castor pest and disease forewarning. CSI

Trans. 6: 311–318.

Prasad R D, Raoof M A, Senthilvel S, Dinesh Kumar V, Praduman Y, Bhuvaneswari R and Varaprasad K S 2016. Gray Mold of Castor. Indian Institute of Oilseeds Research, Hyderabad. pp.1-40.

Soares D J 2012. The gray mold of castor bean: A review. In Tech Publisher, Rijeka, Croatia

Downloads

Submitted

2023-08-23

Published

2020-03-12

Issue

Vol. 37 No. Specialissue (2020): Journal of Oilseeds Research

Section

Articles

License

The Journal of Oilseeds Research reserves all the copy rights of the published articles and prior permission is to be taken from the journal office if any part of the published articles is to be reproduced in any form in any other publication.

How to Cite

R D PRASAD, C SARADA, B BALAJI NAIK, SANTOSH SAM KOSHY, R ARUTSELAN, P RAVIKUMAR, & A VISHNUVARDHAN REDDY. (2020). Development of decision support system (DSS) for forecasting of gray mold disease of castor (Ricinus communis L.) using internet of things (IOTs): Development of decision support system (DSS) for forecasting of gray mold disease of castor (Ricinus communis L.) using internet of things (IOTs). Journal of Oilseeds Research, 37(Specialissue). https://doi.org/10.56739/jor.v37iSpecialissue.141308