I am very pleased to announce that with a $20 million award from the National Science Foundation and several federal agencies, UC ANR is collaborating with UC Davis and other institutions to create a new artificial intelligence institute for next-generation food systems.
The farming/food industry is experiencing a technology revolution. Digital, biological and mechanical innovations are being applied to solve long-standing challenges such as the impacts of climate change, ensuring food and nutrition security, and sustainable and profitable crop production. Artificial intelligence (AI) can be applied to most of these innovations, as they all have one common attribute: they produce and consume large amounts of data. AI is a way to put the large amount of data we have to work for us, making computers and machines smarter and more effective.
The USDA-NSF AI for Next Generation Food Systems (AIFS) puts UC ANR in a leading role with UC Davis, UC Berkeley, University of Illinois Urbana-Champaign and Cornell in developing AI-based technology for the food system, but,perhaps more importantly, in applying them in real-world situations, training a next-generation workforce, and engaging the public in their value.
UC ANR staff and academics will have the opportunity to engage with AIFS through virtual and live events, research, extension and commercialization projects, workforce development activities and more. In many ways, AIFS will be a new support center for UC ANR staff and academics, helping to provide the latest training and tools for UC ANR's Cooperative Extension and outreach activities in California and beyond.
Gabe Youtsey, UC ANR chief innovation officer and Maggi Kelly, director of UC ANR's Informatics and GIS program, will be the primary UC ANR contacts for AIFS. In the coming weeks, AIFS will provide further information about events and ways to engage. Please reach out to firstname.lastname@example.org to express your interest in getting more information as AIFS is launched.
- Author: Pamela Kan-Rice
Artificial intelligence, or AI, can improve precision agriculture by using sensed environmental data to “learn” and continually adapt, VP Glenda Humiston told the Little Hoover Commission at a hearing in Sacramento on Jan. 25.
The Little Hoover Commission is reviewing the impacts of artificial intelligence. While there is no singular definition, artificial intelligence encompasses a broad range of technologies that seek to approximate some aspect of human intelligence or behavior.
Throughout its study, the commission will consider the potential policy role of California state government in areas such as regulation, workforce development and retraining.
Humiston was asked to give a statement on the impacts of artificial intelligence in the agricultural sector.
“California's working landscapes face some critical challenges; among those are drought, climate change, air quality, soil health, pests, pathogens and invasive species,” she said. “Additionally, rural/urban conflicts and urban sprawl continue to reduce available farm land and make viability of food production more difficult.
“Of importance to today's hearing, California's labor-intensive crops are facing increasing difficulty accessing necessary labor – both skilled and unskilled. This situation has led growers and universities to seek solutions through mechanization, automation and other new technologies.”
She sees opportunities in precision agriculture for growers and ranchers to more precisely manage their operations by using site- and crop-specific data gathered by new technologies.
“Artificial intelligence improves this further by using the sensed environmental data to ‘learn' and continually adapt to ever-changing conditions as it receives data that strengthens the computer's ‘intelligence,'” she said.
Humiston also outlined some of the challenges to harnessing the power of AI for agriculture.
“Artificial intelligence is extremely difficult in agriculture because of the huge amount of variability in environmental conditions across a single field,” she said. “This requires many sensors, complex algorithms, and large real-time data processing – all integrated and working together to inform decisions and actions.”
In a 2014 Pew Research Center survey, the vast majority of the 1,896 experts anticipated that robotics and artificial intelligence will “permeate wide segments of daily life by 2025.” The commission's artificial intelligence project will investigate the shape and speed of these changes in California and in society.
Through its public process, the commission intends to study the key challenges of artificial intelligence in California, its economic implications and how it can be used to solve societal ills. The commission will review issues such as justice, equity, safety and privacy. The project will consider recent studies on workforce impacts, which could include both job creation and job displacement. Possible mitigations and worker protections will be discussed as will examples of efforts to plan and prepare for innovations and labor transformations.
To read Humiston's full testimony to the Little Hoover Commission, visit http://www.lhc.ca.gov/sites/lhc.ca.gov/files/CurrentStudies/ArtificialIntelligence/WrittenTestimony/HumistonJan2018.pdf.