Prediction and reporting of un-seasonal rains for the farming community
Introduction
Climate change is here already. With extended and delayed monsoon season and unpredictable unseasonal rains, farmers are losing a lot of valuable food produce. Recently, parts of India have experienced hail storms for the first time ever resulting in loss of crops & lives.
Solving food problem with SAP
Governments, specially in agriculture based economies such as India, China urgently need to come up with a solution which will be able to predict and inform farmers about impending showers. This should be possible with the combination of SAP HANA for the prediction part and mobility for the reporting part.
Though the farmer may not be able to cover his crops, he might be able to salvage some amount of ready to harvest crops in certain types. Also, with seasons changing their arrival, the farmer will be able to sow seeds at an appropriate time.
Commercial Feasibility
Considering the fact that farmers invest more than a hundred thousand rupees in sowing & preparing, he would definately find it worth spending a marginal amount to get predictions. It would save him the cost of losing seeds sown much before rains and also help salvage grown food.
Certainly a great thought as this is one of those ideas that touch the REAL life that will help many. It will be interesting to see how the current forecasting models used by various TV channels in any way are different from HANA based predictions and what additional aspects can be added to what is already established.
Nice Thought.. But trying to predict Mother Nature? We see our weather man, who forecasts on rain fails so many times.
we can show some predictions based on the previous years data but do you think the prediction helps , keeping in mind the volatility of the nature?
Regards,
Krishna Tangudu
Hi Krishna
It is exactly because of the uncertain nature of nature, that we need HANA type calculation. The prediction would NOT be based on last few years of data.In that case, simple analytics would be good. In fact farmers would know such kind of data for themselves.
We are talking about dynamic & in-time prediction based upon factors that are current. Such as current state of an ocean which would bring in rain or storm to a city. It is such kind of dynamic analytics which would help states generate warnings to its citizens in time. And SAP HANA would be best to generate such kind of information.
HM
Hi Haresh,
Interesting usecase and definitely worth looking at.
However I am not sure how many farmer's can really afford such a HANA based solution.
What would be the rough cost to implement such a system/solution?
If we are talking of offering it as a service(on the cloud) to farmers, what would be the minimum offering/cost?
Thanks,
Jayesh