What a million Indian farmers say?: A crowdsourcing-based method for
pest surveillance
- URL: http://arxiv.org/abs/2108.03374v1
- Date: Sat, 7 Aug 2021 06:03:17 GMT
- Title: What a million Indian farmers say?: A crowdsourcing-based method for
pest surveillance
- Authors: Poonam Adhikari, Ritesh Kumar, S.R.S Iyengar, Rishemjit Kaur
- Abstract summary: This paper proposes a crowdsourced based method utilising the real-time farmer queries gathered over telephones for pest surveillance.
We showed that it can be an accurate and economical method for pest surveillance capable of enveloping a large area with high-temporal granularity.
- Score: 0.9558392439655014
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Many different technologies are used to detect pests in the crops, such as
manual sampling, sensors, and radar. However, these methods have scalability
issues as they fail to cover large areas, are uneconomical and complex. This
paper proposes a crowdsourced based method utilising the real-time farmer
queries gathered over telephones for pest surveillance. We developed
data-driven strategies by aggregating and analyzing historical data to find
patterns and get future insights into pest occurrence. We showed that it can be
an accurate and economical method for pest surveillance capable of enveloping a
large area with high spatio-temporal granularity. Forecasting the pest
population will help farmers in making informed decisions at the right time.
This will also help the government and policymakers to make the necessary
preparations as and when required and may also ensure food security.
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