Digital Agriculture has been a core area of focus for the Midwest Big Data Hub since its inception.

Agriculture is broad, involving not only crops and animals, but also the ecosystems that support their growth and development as well as the myriad agricultural products that drive economies throughout the world. As the global population grows and our climate becomes increasingly variable, pressures on agricultural systems increase to expand productivity to address the demand for food, fiber and energy. At the same time, how agricultural products are produced must be improved by reducing inputs including pesticides, herbicides, antibiotics, and fertilizers. Taken together, these pressures require us to discover, design, and invent new ways to improve agricultural production and the goods produced through agriculture. Solving complex agricultural problems involves a transdisciplinary approach involving expertise from engineering, data sciences, and plant, animal and veterinary sciences across sectors, from academia to industry, non-governmental and governmental organizations.

Precision and digital agriculture, i.e., the application of data science to plant, animal and veterinary sciences, stands poised to transform agricultural practices. One way to engage the broad expertise needed to address these problems is to make the data that describe ecosystems, crops, and animals more easily findable, accessible, interoperable, and re-usable (FAIR). In addition, it is imperative to train a data science work force that will lead this transformation.

  

More information on MBDH activities around agriculture, food, and water:

UASPSE – BDSpokes Project Website Online

The website for the MBDH BDSpokes project – “Digital Agriculture: Unmanned Aircraft Systems, Plant Sciences, and Education (UASPSE)” is now online. Login with your LinkedIn account to join the UASPSE community.

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Machine Learning: Farm-to-Table Workshop

by Keith Hollenkamp – In April, the MBDH teamed up with the International Food Security at Illinois (IFSI) to host the Machine Learning: Farm-to-Table Workshop. The workshop brought together domain scientists to stimulate new data-driven R+D activity at the intersections of the Agriculture, Bioinformatics, Food-Energy-Water, and Food Security communities.

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Iowa State University Summer Seminar Series: Plant Phenomics Phridays

Sponsored by the Midwest Big Data Hub Digital Agriculture Spoke Award and the Iowa State University Plant Sciences Institute, Plant Phenomics Phridays is a brand new Summer seminar series hosted by Iowa State University.

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The Machine Learning: Farm-To-Table Workshop

The Midwest Big Data Hub (MBDH) is partnering with the International Food Security at Illinois (IFSI) group at UIUC to bring together domain scientists from the Agriculture, Bioinformatics, Food-Energy-Water, and Food Security communities, along with computational experts. The objective of this workshop is to stimulate new data-driven R+D activity at the intersections of these communities. The meeting will be […]

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Food and Data Workshop: Interoperability through the Food Pipeline

September 12-13, 2016 University of Illinois at Urbana-Champaign The increasing ability to capture data at the level of individual agricultural fields, individual culinary recipes, and individual food waste digesters is allowing analytics-based optimization within the distinct industries responsible for producing, transporting, trading, storing, processing, packaging, wholesaling, retailing, consuming, and disposing of food. Yet addressing the […]

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Digital Agriculture Spoke All-Hands Meeting – May 16-17, 2016

Videos of the presentations are now available! The 2016 Digital Agriculture Spoke All-Hands Meeting to be held on May 16-17 at the Scheman Building, Iowa State Center, Ames, Iowa. The Digital Agriculture Spoke of the Midwest Big Data Hub is devoted to building partnerships and resources that will address emerging Big Data issues in the […]

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