Policy Impact Analysis - 117/HR/9047

Bill Overview

Title: Precision Agriculture Loan Program Act of 2022

Description: Precision Agriculture Loan Program Act of 202 This bill establishes a loan program within the Farm Service Agency to assist agricultural producers in purchasing precision agriculture equipment, such as geospatial mapping, data management and analytics software, and network connectivity products and solutions. Precision agriculture refers to managing, tracking, or reducing crop or livestock production inputs, including seed, feed, fertilizer, chemicals, water, and time, at a heightened level of spatial and temporal granularity to improve efficiencies, reduce waste, and maintain environmental quality.

Sponsors: Rep. Feenstra, Randy [R-IA-4]

Target Audience

Population: Agricultural producers globally who could benefit from precision agriculture equipment

Estimated Size: 2000000

Reasoning

Simulated Interviews

Large Scale Corn Farmer (Iowa)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • I believe in technology, and this program sounds promising. It's definitely expensive to switch to precision tools without external help.
  • With the loan, we can upgrade our old equipment, which should help manage our resources better and potentially increase yield.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 7
Year 20 8 7

Vineyard Owner (California)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • Access to precision technology would help us significantly in managing water usage, especially given the drought conditions.
  • I'm hopeful the program prioritizes those of us committed to sustainability.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Cattle Rancher (Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 12/20

Statement of Opinion:

  • We need to reduce costs and this could be a way to better manage feed and cattle health.
  • Precision agriculture tools could give us an edge in managing our ranch more efficiently.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 7 5
Year 10 6 5
Year 20 6 5

Urban Farmer (New York)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Even though our urban setup limits scale, the technology could streamline our operations.
  • Using data analysis, we could better serve our community and manage resources.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 6 6
Year 20 6 6

Agricultural Technology Developer (Florida)

Age: 28 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 9/20

Statement of Opinion:

  • This is great for the industry. More demand for tech means our company grows too.
  • Even indirectly, it's beneficial as it pushes innovation forward.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 7 7

Retired Farmer (Kansas)

Age: 62 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • I'm glad the next generation has better tools. We struggled without such technologies.
  • It's nice to see governmental support for farming innovations.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 5 5
Year 5 5 5
Year 10 5 5
Year 20 5 5

Soybean Farmer (Illinois)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 13/20

Statement of Opinion:

  • This could help us meet high standards expected abroad.
  • Financial assistance to upgrade equipment might make us more competitive globally.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Organic Vegetable Farmer (Oregon)

Age: 36 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Precision tools tailored for organic farming could be a game-changer.
  • Access to data on soil and crop health would be most beneficial.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 6
Year 10 7 6
Year 20 7 6

Corn and Soybean Farmer (Nebraska)

Age: 48 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • The cost of implementing these technologies is a hurdle right now.
  • Loans will help us minimize waste and optimize outputs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 8 7

Agricultural Policy Analyst (Georgia)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 6/20

Statement of Opinion:

  • Policy is crucial for advancing precision farming widely.
  • It will particularly benefit those unable to otherwise afford this tech.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 6
Year 5 6 6
Year 10 6 6
Year 20 6 6

Cost Estimates

Year 1: $2000000000 (Low: $1500000000, High: $2500000000)

Year 2: $2100000000 (Low: $1575000000, High: $2625000000)

Year 3: $2205000000 (Low: $1653750000, High: $2756250000)

Year 5: $2425500000 (Low: $1829125000, High: $3031875000)

Year 10: $2922925000 (Low: $2192193750, High: $3653656250)

Year 100: $7089946875 (Low: $5317460156, High: $8862433594)

Key Considerations