MIT Media Lab Open Agriculture Initiative (OpenAg)

Brief Project Information

The OpenAg project aims to build a healthier and more sustainable food system across the world by creating an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.


SDGs
More information about the project

The MIT Media Lab’s Open Agriculture Initiative began in 2015 with the goal of building a healthier and more sustainable food system across the world through the creation of an open-source ecosystem of data and “food computers” that use artificial intelligence to record, process, and share extensive data about the best growing techniques and conditions for plants. This allows people to experiment, educate, and produce food hyper-locally in a transparent and well-connected network across the globe.

OpenAg brings together partners from industry, government, and academia to collaboratively research and develop open technology platforms, which add to the mission of the project and allow the broad, grassroots exploration of future food systems.

The entire OpenAg initiative includes several sub-projects which are:

  • The OpenAg Personal Food Computer, which is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems to control and monitor climate, energy, and plant growth inside of a specialized growing chamber. The personal “food computer” is designed to be simple to build with easily accessible materials. As people use the personal food computer, it records data about the experiments they are conducting and allows them to share that data with other users accessing the open database and network. 

  • The Computer Vision and Machine Learning program, which aims to develop an open-source toolkit for plant analysis that can then be applied to controlled farms as small as a personal “food computer” to larger shipping container-sized “smart farms”. This would allow people across the globe to use this toolkit to measure and quantify plant morphological traits, leading to increased knowledge about the best ways to grow the best plants.
  • OpenAg EDU, which is an education program that brings “food computers” into classrooms, museums, and community centers so that students can explore food systems and be inspired to be high-tech farmers in the future. 
  • The Open Phenome Project, which aims to create a sharable, digital library of datasets that link various plant responses such as taste, nutritional value, and size elicited by experimenters to inputs such as environmental variables, biologic variables, genetic variables, and resources needed for cultivation. This allows users around the world to instantly share, upscale, and improve on “climate recipes” for plants. 
  • The OpenAg Food Server, which is a scaled-up version of the personal “food computer” designed to be used by restaurants, small cafeterias, and larger research labs. 
  • The Tree Computer, which is similar to the personal food computer, but aimed at researching and monitoring the optimal growing conditions for various trees. 
  • OpenAg can meet several of the SDGs. By putting personal food computers and knowledge about the best growing methods in homes across the world, the project can promote Good Health and Well Being; help move toward Zero Hunger; create more Sustainable Communities and Cities by reducing the number of food deserts; and promote more Responsible Consumption and Production and Life on Land by making agriculture more efficient while using less resources and space. The OpenAg Food Server and OpenAg EDU can also help promote Decent Work and Economic Growth by producing high-tech farmers and promoting the pop up of experimental restaurants in several different places around the globe.

     

    Acknowledgement

    The original content of this case is from Oxford Initiative on AI×SDGs (2018-2022) which was a research project at the University of Oxford, directed by Prof. Luciano Floridi and Prof. Mariarosaria Taddeo. Its goal was to determine how artificial intelligence (AI) has been and can be used to support and advance the United Nations Sustainable Development Goals (SDGs). One of the deliverables was a curated, open, and fully searchable collection of international projects that use AI to support one or more of the SDGs. The content of that collection is now hosted here. We thank Prof. Floridi, Prof. Taddeo and their research team for the collaboration. Descriptions and functionalities have been extended to adapt the original content to the AI for SDGs Think Tank Observatory.

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