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Case Studies

Farm to fork traceability

Farm to fork traceability

Sector: Agriculture

Area: Supply Chain

Status: Active

Country: India

Problem

To bring farm to fork traceability and ensure quality control. Efficient management from ‘order to fulfilment’ providing flexible inventory management, SKU tagging & traceability to the source. To ensure better marketability and enhanced visibility?

Solution

• The solution digitizes the farm management, while managing the data for the entire ecosystem.
• The real-time solution enables the owner to archive patterns, predict trends and to create a blueprint for the his business.
• Traceability & output predictability
• Geo tagging for accountability & accurate predictability
• Adherence to Compliance & Certification

Future Plan

Not Mentioned

Key Technology Used

AnalyticsMachine Learning (ML)

Benefits to the end-user and Government

Ensuring efficient operations, lower costs and better visibility for field agents. at all times
Real-time actionable insights enable farm management companies to take planned & responsive business. decisions. The predictability of quantity & quality of yield combined with reduced cost of operations results in higher productivity for the businesses.

Impact

• CropIn has digitized 13 million acres of farmland across six continents and touched over 4 million farmer lives. • CropIn has worked on 3,500 crop varieties across climatic zones and predicted crop yields with over 90 percent accuracy. • Works with 220+ large Agri enterprises, including Agri input companies, commodity traders, seed production companies, agribusinesses, crop insurance providers, farm financiers, government advisories, and international development funds.
Funding Source

ABC World Asia Bill & Melinda Gates Foundation Chiratae Ventures BEENEXT Sophie Investment Aps Invested Development

Funding and Annual Revenue

$32.6M

Reference URLs

  • https://www.cropin.com/
https://www.cropin.com/

Project Website

CropIn

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