Claims:1. A computer implemented method for estimating effective pest severity index, the method comprising:
receiving a first set of inputs pertaining to weather associated with a geo-location under consideration;
receiving a second set of inputs pertaining to agronomic information associated with the geo-location under consideration;
generating a pest forecasting model and a natural enemies forecasting model for each pest associated with the geo-location under consideration, the pest forecasting model and the natural enemies forecasting model being based on the received first set of inputs and the second set of inputs; and
estimating the effective pest severity index based on the generated pest forecasting model and the natural enemies forecasting model.

2. The computer implemented method of claim 1 further comprising:
creating a historical data lookup table based on the received first set of inputs and the second set of inputs and the estimated effective pest severity index;
appending the historical data lookup table with actual effective pest severity index detected for the corresponding first set of inputs and the second set of inputs for a given period of time; and
updating the pest forecasting model and the natural enemies forecasting model based on the actual effective pest severity index.

3. The computer implemented method of claim 2, wherein the received first set of inputs and the second set of inputs comprise at least one of participatory sensing inputs and crowdsourcing inputs.

4. The computer implemented method of claim 2, wherein updating the pest forecasting model and the natural enemies forecasting model is further based on management practices deployed in the geo-location under consideration.

5. The computer implemented method of claim 1 further comprising optimizing pesticide application based on the estimated effective pest severity index.

6. A system for estimating effective pest severity index, the system comprising:
one or more internal data storage devices comprising instructions; and
one or more processors operatively coupled to the one or more internal data storage devices, the one or more processors being configured by the instructions to:
receive a first set of inputs pertaining to weather associated with a geo-location under consideration;
receive a second set of inputs pertaining to agronomic information;
generate a pest forecasting model and a natural enemies forecasting model for each pest associated with the geo-location under consideration, the pest forecasting model and the natural enemies forecasting model being based on the received first set of inputs and the second set of inputs; and
estimate the effective pest severity index based on the generated pest forecasting model and the natural enemies forecasting model.

7. The system of claim 6, wherein the one or more processors are further configured to:
create a historical data lookup table based on the received first set of inputs and the second set of inputs and the estimated effective pest severity index;
append the historical data lookup table with actual effective pest severity index detected for the corresponding first set of inputs and the second set of inputs for a given period of time; and
update the pest forecasting model and the natural enemies forecasting model based on the actual effective pest severity index.

8. The system of claim 7, wherein the received first set of inputs and the second set of inputs comprise at least one of participatory sensing inputs and crowd sourcing inputs.

9. The system of claim 7, wherein the one or more processors are further configured to update the pest forecasting model and the natural enemies forecasting model based on management practices deployed in the geo-location under consideration.

10. The system of claim 6, wherein the one or more processors are further configured to optimize pesticide application based on the estimated effective pest severity index.
, Description:N/A