# Implementation of a produce safety program

> **NIH FDA U18** · NY STATE DEPT OF AGRICULTURE/ MARKETS · 2020 · $1,099,746

## Abstract

Abstract:
The New York State Department of Agriculture and Markets Food Safety Division has
expansive food safety inspection and regulatory programs that cover all fruits and vegetables
grown for human consumption that are distributed and sold in New York State. It is the policy
and goals of New York State to promote, and protect public health through education, research,
and regulation of the agriculture industry. By establishing a produce safety program for
compliance to the Food Safety Modernization Act (FSMA), New York State is able to verify
adherence to standards for safe growing, harvesting, sorting, packing, holding and distribution
of produce which minimizes risks of microbial food safety hazards. With implementation of a
multi-year program, FDA funding will enable New York State to investigate and implement a
program designed for detection of outbreaks of foodborne illness associated with both domestic
and imported fresh fruits and vegetables. By developing an industry registry covered by the rule,
providing education, regulation, sampling, technical assistance, training and utilizing
experienced on the farm and packing and handling facility New York State inspectors enables
accurate monitoring of the industry for meeting FSMA requirements.

## Key facts

- **NIH application ID:** 9966739
- **Project number:** 5U18FD005906-05
- **Recipient organization:** NY STATE DEPT OF AGRICULTURE/ MARKETS
- **Principal Investigator:** Saeed Akhtar
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $1,099,746
- **Award type:** 5
- **Project period:** 2016-09-05 → 2021-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9966739

## Citation

> US National Institutes of Health, RePORTER application 9966739, Implementation of a produce safety program (5U18FD005906-05). Retrieved via AI Analytics 2026-07-19 from https://api.ai-analytics.org/grant/nih/9966739. Licensed CC0.

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