Awarded Grants
Below is a listing of our awarded grants that tackle big food and agriculture challenges.

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427 Grants found

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A Microchip-based Chemical Sensor For Early-Stage in Ovo Sex Determination of Layer Chicks 

Year Awarded  2019

FFAR award amount   $400,000

Total award amount   $400,000

Location   Davis, CA

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   SensIT Ventures

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. SensIT Venture Inc. researchers are developing a chemical sensor chip to detect the volatiles and using machine learning to classify the eggs by gender. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

En-ovo Sex Determination By Fiber Optic Volatiles Analysis and Machine Learning 

Year Awarded  2019

FFAR award amount   $396,763

Total award amount   $396,763

Location   Gainesville, FL

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   USDA-ARS

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. U.S. Department of Agriculture-Agriculture Research Service researchers are using fiber optics and machine learning to analyze of volatiles and determine differences between male and female eggs. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

Innovative Techniques for Fast in Ovo Sexing in Poultry By Detection of Gender Specific Volatiles 

Year Awarded  2019

FFAR award amount   $316,370

Total award amount   $650,842

Location   Leuven, Belgium

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   KU Leuven

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. KU Leuven scientists are developing a non-invasive ovo sexing technique that registers volatile organic compounds passing that pass through the eggshell during incubation. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

Multidimensional Spectral Mapping for Sex Determination of Avian Eggs 

Year Awarded  2019

FFAR award amount   $269,030

Total award amount   $457,919

Location   Morrisville, NC

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   Microscale Devices LLC

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. Researchers at Microsale Devices LLC are using multidimensional spectral mapping technology that shoots waves of light at the egg and detects the refracted light patterns. Artificial intelligence will be employed to develop an optical fingerprint, or signature, that can determine the sex of eggs. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

Orbem.ai: Magnetic Resonance Imaging Meets Artificial Intelligence for Automated and Non-invasive in Ovo Sex Determination 

Year Awarded  2019

FFAR award amount   $400,000

Total award amount   $1,149,911

Location   Munich, Germany

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   Orbem AI

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. Scientists at Orbem Ai are developing specialized technology to examine the organ development of embryos and detect physical differences between the males and females. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

Rapid and Non-invasive Egg Sex Indentification Using Artficially Intelligent Platform 

Year Awarded  2019

FFAR award amount   $400,000

Total award amount   $400,000

Location   Minneapolis, MN

Program   Egg-Tech Prize

Matching Funders   Open Philanthropy

Grantee Institution   University of Minnesota

As only female chicks are used for egg production, male chicks are culled after hatching. FFAR's Egg-Tech Prize is developing technology that can determine a chick’s sex before it hatches so male egg can be used for other purposes. A University of Minnesota researcher is analyzing 3D scanner to analyze the geometric shape of the eggs and the volatile organic compounds (VOCs) to identify the sex of the egg. This project is one of the six Phase I winners, who received funding to develop the necessary technology to compete for the Prize.

Ecosystem Services Market Consortium 

Year Awarded  2019

FFAR award amount   $10,300,000

Total award amount   $20,600,000

Location   Morrisville, NC

Matching Funders   Noble Research Institute, General Mills Foundation, McKnight Foundation, Walton Family Foundation, U.S. Department of Agriculture's Natural Research Conservation Service, United Soybean Board

Grantee Institution   Ecosystem Services Market Consortium

Climate change is threatening food security and farmer livelihood. FFAR invested in the Ecosystem Services Market Consortium (ESMC) to establish research arm for the Ecosystem Services Market Consortium to create a functional ecosystem services market. The Ecosystem Marketplace pays and recognizes farmers and ranchers who adopt conservation management practices that improve soil health, water usage and reduce greenhouse gas emissions.

Spatializing the Environmental Impacts of U.S. Dairy Supply Chains 

Year Awarded  2019

FFAR award amount   $65,000

Total award amount   $130,000

Location   Washington, D.C.

Matching Funders   Walton Family Foundation, McDonald's

Grantee Institution   World Wildlife Fund

Dairy farming and milk production, although essential to the agricultural economy, release greenhouse gas emissions and impact local water bodies. University of Minnesota’s NorthStar Initiative for Sustainable Enterprise (NorthStar) researchers are developing localized research models to identify local solutions that improve efficiency and environmental sustainability, information on environmental impacts.

Development of Prevention, Detection and Response Strategies for the Asian Lognhorned Tick (Haemaphysalis longicornis) 

Year Awarded  2019

FFAR award amount   $150,000

Total award amount   $300,000

Location   Knoxville, TN

Program   Rapid Outcomes from Agricultural Research

Matching Funders   University of Tennessee

Grantee Institution   University of Tennessee Institute for Agriculture

The increasing prevalence of the invasive longhorn tick threatens American farmers, livestock, companion animals and wildlife. University of Tennessee Institute of Agriculture researchers are mapping the tick's spread and developing response strategies to protect farmers, ranchers and their animals.

FFAR and OFRF Promote Soil Health and Profits for Organic Farmers in the Northern Great Plains 

Year Awarded  2019

Total award amount   $20,000

Location   Bozeman, MT

Matching Funders   Organic Farming Research Foundation

Grantee Institution   Montana State University

In the Northern Great Plains, where wheat is the primary crop, organic farmers are rotating in lentils. Lentils generate additional income and improve soil health. However, little is known about the optimum amount of lentil seeds that should be planted to ensure maximum nutrient acquisition, weed management and yield potential. Montana State University Researchers are addressing this research gap by exploring the relationship between seeding rates, lentil yields and soil health.