Why Collaborative Models are the Future of AI in Agriculture

Why Collaborative Models are the Future of AI in Agriculture

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=2PpgbmwaurM


Duration: 13:17
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-Speaker: Michael C. Rubin, Co-Founder, Investor, Data Scientist @ ODAPES & Consultant Agribusiness/Agritech @ Drawdown Labs

Description:
-Agriculture is a key sector in Climate Change because it is a major emitter, as well as a potential carbon sink
-Traditional Platform-based AI-Models do not work in Agriculture as we have a high, unpredictable complexity vs very scarce data
-Solution: give access to Digitization and AI to a large number of market actors, each specialized in his own setting, and make them co-developers
-ODAPES is a 100% free and open-source, modular and easy to install Digital Agriculture platform - each person creates his own platform
-ODAPES then offers AI, ML and Agronomic Modelling through an API service.
-ODAPES is a Community Project following the idea of the collaborative commons. We work with a network of Co-developers and large clients subsidize small, poor farming communities.

Links from Talk:
-http://www.odapes.com/

Event Details: This video was part of the ML in Sustainability Masterclass & Info Session event that occured on Tuesday, April 27th 2021. For past event details, see here: https://mlchallengecohort9.eventbrite.ca

Upcoming Projects: For our ML Product Competitions, see open projects here: https://ai.science/challenges



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Tags:
deep learning
machine learning
AI
Artificial Intelligence
Object Detection
Open source
agronomy
agriculture
food