A University of Georgia-led research team is developing an advanced sensor system to help harvest and process fresh-market highbush blueberries at high-speed and with low yield loss. NIFA originally published this impact in the NIFA 2015 Annual Report.
In an effort to keep nifa.usda.gov current, the archive contains outdated information that may not reflect current policy or programs.
Virginia State University established a vegetable soybean (edamame) research pro-gram and released three varieties, ‘‘Asmara,’’ “Owens,” and “Randolph.” Hundreds of breeding lines are also being evaluated for their agronomic performance, yield potential, and nutrient contents. NIFA originally published this impact in the 2015 Annual Report.
Joint Natural Resource Conservation Service (NRCS) and NIFA. This program is designed to enhance our understanding of the roles payments for ecosystem services and/or payments for conservation practices play to protect or improve ecosystem services. Research is needed to assess the value of public benefits associated with changes in ecosystem services arising from the use of agricultural management practices. Development of such methods are necessary for advancing the ability to design and implement mechanisms to manage and protect agriculturally related natural resources.
Joint Economic Research Service (ERS) and NIFA. This program is intended to support a Center for Behavioral and Experimental Economics for Agri-Environmental and Risk Management Policy Research. The center will employ and advance the use of behavioral and experimental economics to conduct research on how policies and programs can influence the provision of ecosystem services from agricultural resources, the management of risk, and other aspects of food and agricultural policy.
Joint Economic Research Service (ERS) and NIFA Program. This program invites proposals that address issues surrounding how big data influences markets, industry structure, and agricultural and food value chains. Invited projects include research only on development and applications of big data and integrated projects designed to train agricultural economists in the use of data science.