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Late Blight Forecast Using Mobile Phone Based Agro Advisory System

  • Arun Pande
  • Bhushan G. Jagyasi
  • Ravidutta Choudhuri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

The late blight disease is the most common disease in potato, which is caused by the pathogen Phytopthora infestans. In this paper, a novel method to collect symptoms of the disease, as observed by the farmers, using a mobile phone application has been presented. A cumulative composite risk index (CCRI) obtained from more than one existing disease forecast models is validated from the actual late blight queries received from the farmers. The main contribution of the paper is a protocol that combines the symptoms based diagnostic approach along with the plant disease forecasting models resulting in detection of Potato late blight with higher accuracy. This in turn reduces the disease risk along with avoiding the unnecessary application of fungicide.

Keywords

Mobile Phone Disease Risk Late Blight Phytophthora Infestans Potato Late Blight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Arun Pande
    • 1
  • Bhushan G. Jagyasi
    • 1
  • Ravidutta Choudhuri
    • 2
  1. 1.TATA Consultancy ServicesTCS Innovation Labs MumbaiThaneIndia
  2. 2.Department of MathematicsIndian Institute of Technology KharagpurKharagpurIndia

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