Credit risk scoring for smallholder farmers

Harvesting CRS

Harvesting is developing an AI-driven credit risk scoring system to help financial institutions make and monitor loans to farmers in the developing world. The tool uses alternative data sources, such as satellite imaging data and agronomic data, and machine learning algorithms, to predict yields and model cashflows and risk profiles of farmers. The credit scoring system increases the availability of credit to farmers to invest in their farms, while lowering the risk, costs and time associated with agri-lending for financial institutions.

http://www.harvesting.co

International implementation

Ongoing from 02/10/2017 to 30/06/2018

CGAP (World Bank)

* The role of governments and all stakeholders in the promotion of ICTs for development
      * ICT for sustainable development
* Information and communication infrastructure
* Access to information and knowledge
* ICT applications: benefits in all aspects of life
      * E-business
         * Technology and innovation
      * E-environment
      * E-agriculture

• Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture
• Goal 5: Achieve gender equality and empower all women and girls
• Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
• Goal 10: Reduce inequality within and among countries
• Goal 12: Ensure sustainable consumption and production patterns
• Goal 13: Take urgent action to combat climate change and its impacts
• Goal 15: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss

• Project
• Programme