The University of Vermont Extension’s Northeast Center to Advance food Safety (UVM’s NECAFS) has released a series of factsheets on produce safety in hydroponic and aquaponic operations for educators, regulators, and producers. The new factsheets guide readers through produce safety considerations specific to hydroponic and aquaponic operations.
The Northeast Center to Advance Food Safety (NECAFS) recently announced its new online Produce Safety Handbook for Buyers. The handbook is formatted as an interactive website that clarifies the complex landscape of food safety regulations and standards across different states in the U.S. Northeast.
The U.S. Department of Agriculture’s Agricultural Marketing Service (USDA’s AMS) has found the majority of fruits and vegetables in the U.S. to contain pesticide residues below the tolerances established by the U.S. Environmental Protection Agency (EPA), according to the agency’s Pesticide Data Program (PDP) summary for 2021.
The U.S. Food and Drug Administration (FDA) has released a document that provides an overview of the agency’s ongoing efforts to advance the safety of produce imported into the U.S.
The Center for Produce Safety (CPS) has published a summary of the 2022 CPS Symposium, highlighting several crucial food safety findings related to Cyclospora, Listeria, biofilm control, sanitization methods, and more.
The U.S. Court of Appeals for the Ninth Circuit has overturned the Environmental Protection Agency’s (EPA’s) decision that glyphosate is safe for humans, stating that EPA ignored glyphosate’s dangers to humans and the environment.
New York State’s Produce Traceability Task Force recently published a document that offers best management practices and protocols for strengthening produce supply chains.
The Environmental Working Group has released its 2022 Shopper’s Guide to Pesticides in Produce, which ranks popular fruits and vegetables by their pesticide residue levels.
The Produce Traceability Initiative (PTI) aims to explore how technology can enhance traceability solutions in the produce sector with a new working group.
A team at the Unversity of Tennessee is using artificial intelligence (AI) and machine learning to more easily detect Cyclospora cayetanensis inactivation.
