Digital innovation in agriculture is already bringing solutions to farmers that helps them use their mobile phones to obtain a range of useful services. They can get information about product prices and advice on pest control. They can also buy farm inputs as well sell their products. Almost always underbanked, they can also get credit. Is AI adding an extra fizz to these solutions? We discussed with Daniele Tricarico about the GSMA report AI for Africa: Use cases delivering impact.
We learnt that AI is adding an extra layer of additional benefits to these existing solutions and also helping develop some new solutions (such as better weather predictions and tracking food security). Both machine learning and generative AI are being used in these applications. Grant capital is available to develop initial pilots. Local talent who knows the agricultural landscape and brainy young people who work on the data and the programming are there as well. Companies are working around the problem of lack of data. Partnerships of start-ups with large IT companies and with mobile networks is critical to deployment of solutions.
Sections
Section 1: First 5 minutes : introduction
Section 2: Next 54 minutes the AI use cases in food and agriculture
Host : Sanjoy Sanyal, Founder Regain Paradise
New Ventures
www.regainparadise.org
Guest : Daniele Tricarico
Senior Director, Central Insights & Monitoring & Evaluation, Mobile for Development
www.linkedin.com/in/danieletricarico/
www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-for-development/gsma_people/daniele-tricarico/