Problem / Objective :

It is a challenge to conduct Crop Cutting Experiments (CCEs) in a short span, considering there are 2.5 lakh gram panchayats in India. Moreover, there is a possibility of misjudgement of insurance decisions at a farmer level, since heterogeneity of yield is not considered in the traditional random survey method employed. 

Solution / Approach:

CropIn was founded by Krishna Kumar, a veteran leader in Agtech with a strong technical background. In 2009, Krishna witnessed the multitude of challenges faced by farmers in India, and it was during this time that he decided to contribute to the agriculture sector. With the implementation of products like SmartFarm, SmartRisk, mWarehouse, etc, CropIn has been able to revolutionise farming by incorporating technology into daily field operation. 

SmartFarm is a farm management solution which combs the fields for weather and field information, monitors potential risks, captures precise location and farm size, details of farmers and crop details from pre-harvest stage. SmartRisk is an AI/ ML-based predictive solution, which gathers historical data on the crop in a farm during the growth cycle. Both, SmartFarm and SmartRisk ensure that the field is monitored right from the beginning of each cultivation cycle, enabling authorities to easily collect relevant data at the appropriate time and making the process of sample selection for CCE more scientific and less arbitrary. 

Impact / Implementation:

Both, SmartFarm and SmartRisk ensure that the field is monitored right from the beginning of each cultivation cycle, enabling authorities to easily collect relevant data at the appropriate time and making the process of sample selection for CCE more scientific and less arbitrary. The solutions provided by CropIn are developed in local languages, which also helps farmers in understanding the crops and the diseases that affect them. 

Source: NASSCOM COE-DSAI AI for Good report