Crider, Margaux S. (author), Vick, K.C. (author), Young, Jeffery A. (author), Breazeale, Nicole D. (author), Jones, Kenneth R. (author), and Zimmerman, Julie N. (author)
Format:
Journal article
Publication Date:
2025-02-15
Published:
USA: Extension Journal, Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 209 Document Number: D13542
20 pages, Extension’s evolving role in urban food production will require intensive reflexivity and ongoing collaboration. Extension educators around the country have already made progress in engaging with both the social and horticultural sides of urban agriculture. Designed appropriately, urban food systems hold the potential for healthy food access, community and environmental resilience, and economic prosperity (Rangarajan & Riordan 2019). Moving forward, we offer recommendations for Extension staff to apply within their institutions and beyond. Specifically, we urge Extension to prioritize the following: 1) mediate the rural/urban dichotomy, 2) tackle structural and institutional power dynamics, and 3) intensify strategies for community resilience.
Rozenstein, Offer (author), Cohen, Yafit (author), Alchanatis, Victor (author), Behrendt, Karl (author), Bonfil, David J. (author), Eshel, Gil (author), Harari, Ally (author), Harris, W. Edwin (author), Klapp, Iftach (author), Laor, Yael (author), Linker, Raphael (author), Paz-Kagan, Tarin (author), Peets, Sven (author), Rutter, S. Mark (author), Salzer, Yael (author), and Lowenberg-DeBoer, James (author)
Format:
Journal article
Publication Date:
2023-08-15
Published:
Netherlands: Springer Nature
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 209 Document Number: D13550
12 pages, Sustainability in our food and fiber agriculture systems is inherently knowledge intensive. It is more likely to be achieved by using all the knowledge, technology, and resources available, including data-driven agricultural technology and precision agriculture methods, than by relying entirely on human powers of observation, analysis, and memory following practical experience. Data collected by sensors and digested by artificial intelligence (AI) can help farmers learn about synergies between the domains of natural systems that are key to simultaneously achieve sustainability and food security. In the quest for agricultural sustainability, some high-payoff research areas are suggested to resolve critical legal and technical barriers as well as economic and social constraints. These include: the development of holistic decision-making systems, automated animal intake measurement, low-cost environmental sensors, robot obstacle avoidance, integrating remote sensing with crop and pasture models, extension methods for data-driven agriculture, methods for exploiting naturally occurring Genotype x Environment x Management experiments, innovation in business models for data sharing and data regulation reinforcing trust. Public funding for research is needed in several critical areas identified in this paper to enable sustainable agriculture and innovation.
