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CropIn is a finalist in the Better Cotton Innovation Challenge

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March 2020 – CropIn has been announced as a finalist in the Better Cotton Innovation Challenge launched by Better Cotton Initiative (BCI) in partnership with Sustainable Trade Initiative (IDH) and with the support of Dalberg Advisors.

CropIn was one of the five finalists whose innovations were found to be very relevant for the BCI program and will be working towards creating a solution for error free data collection process to make the licensing process more efficient. CropIn will now work together with the BCI to implement, test and prove the innovation during the 14 weeks field trials.

Krishna Kumar, CEO, CropIn was quoted as saying, ”This is a wonderful opportunity for us to exhibit our sustainable solutions and impact the lives of cotton farmers and producers positively. We are very confident that our solutions can change the way cotton farming has been functioning and will revolutionize the space for a better tomorrow”.

The Better Cotton Innovation Challenge is a global platform that has been set up to help scale the BCI sustainability program. The Challenge calls for innovative solutions from around the globe using cutting edge technology, design thinking, behavioural nudges. CropIn proposed a solution that will digitize the farmer field books and expedite the transformation of the field data into reports comparing various BCI performance indicators.

The Better Cotton Initiative (BCI) is the largest cotton sustainability programme in the world with the aim to transform cotton production worldwide by developing Better Cotton as a sustainable mainstream commodity. The IDH convenes companies, CSOs, governments and others in public-private partnerships to realize green & inclusive growth at scale and to drive sustainability from niche to norm in mainstream markets. Dalberg Advisors partner with communities, governments, and companies providing an innovative mix of services – advisory, investment, research, analytics, and design – to create impact at scale.

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