Central Government launched KISAN project to

Questions that ask what a named government project or scheme was launched to do are testing whether you know that initiative's specific, stated mandate — not just that it involves farmers, crops, or technology in general. Two initiatives can share the same broad domain (agriculture) while having entirely different purposes (income support vs. weather advisory vs. yield measurement), so the project's official objective, as stated at its launch, is what decides the answer.

The KISAN project (Crop Insurance using Space Technology and Geo-informatics) was launched by the Department of Agriculture, Cooperation and Farmers Welfare on 5 October 2015, through its Mahalanobis National Crop Forecast Centre (MNCFC), in collaboration with the ISRO centres Space Applications Centre (Ahmedabad) and National Remote Sensing Centre (Hyderabad). Its stated objective was to use high-resolution satellite and drone-based remote-sensing imagery together with crop-growth modelling to make crop-cutting-experiment based yield estimation faster and more accurate — in other words, to get timely and precise data on crop yields — so that crop-insurance claims to farmers could be settled more quickly.

Contrasting each stated objective by value:

• Providing timely weather reports to farmers for good crop production is the objective of separate agromet-advisory services, not of a satellite yield-estimation project.

• Getting timely and precise data on crop yields is exactly the satellite/drone-based yield-estimation objective the KISAN project states for itself.

• Helping very poor farmers financially describes a direct income-support/subsidy objective, which is the stated purpose of separate cash-transfer schemes for farmer households, not of a remote-sensing yield-measurement project.

• The composite claim pairing the weather-advisory objective with the yield-data objective holds only if both those objectives are independently the initiative's stated purpose.

Since KISAN's own stated launch objective is improving the speed and precision of crop-yield data via satellite/drone remote sensing, the correct answer is: get timely and precise data on crop yields.