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Image of farmers looking at corn in a field and holding an iPad
Projects

Scale Sustainable Agriculture

Publishing research and creating open source tools to quantify sustainable agriculture’s economic and environmental benefits

The Latest

  • DSE developed an open source tool that helps quantify sustainable agriculture’s benefits to crop insurance stakeholders, so that agents can in turn incentivize farmers to implement these practices. 
  • The tool depicts climate impacts on corn crop yield and yield stability over the next 30 years, and recommends federal policy opportunities to incentivize sustainable agriculture practices.
  • We published our findings in the Journal of Data Science, Statistics, and Visualisation and were featured in 11 news stories, including in the Hill and Grist.
     

Background on U.S. Crop Insurance


Federal crop insurance is primarily administered by the United States Department of Agriculture (USDA) and is a critical safeguard to our country’s food system. Generally, all US farmers receive insurance coverage through this program, although some farmers may also have supplemental insurance from private companies. Currently the primary metric for determining federal coverage (as defined by the Farm Bill) is a grower’s annual average crop yield. 
 

Our Impact

In partnership with the Berkeley Food Institute and the University of Arkansas, DSE built an open source tool to help quantify climate impacts on corn crop yield and yield stability for insurance agents. Using artificial intelligence, we projected corn yields over the next three decades under static growing conditions. We compared those with scenarios predicted by the Intergovernmental Panel on Climate Change, which anticipate more extreme weather in this time frame, in order to assess impacts on crop yields and insurance. 


Key Findings

  • Without action, crop insurance companies could see a doubling of insurance claim rates by 2050. 
  • Taxpayers heavily subsidize the insurance program, which means that taxpayers will be responsible for most of the increased cost.
  • There is a need for strategic adjustments to crop insurance programs given the likelihoods of different (worsening) climate scenarios, and policy opportunities that may increase financial security for farmers and insurance companies into the future. 

 

We depict our projections under expected further global warming (intermediate warming scenario - IPCC SSP245) versus a “baseline,” which assumes today’s growing conditions continue into the future unchanged
We depict our projections under expected further global warming (intermediate warming scenario - IPCC SSP245) versus a “baseline,” which assumes today’s growing conditions continue into the future unchanged (Pottinger et al 2024).

 

Recommendations

Farmers could receive greater financial incentive to adopt more sustainable practices, companies could see a lower overall claims rate, and we save taxpayer dollars by doing the following:

 

  1. A relatively minor change to text in the Farm Bill could incentivize farmers to adopt (or better account for farmers who have already adopted) sustainable agricultural practices like cover cropping and crop rotation. While these practices can result in a lower average yield from one year to another, farmers are rapidly adopting them to increase crop resilience over time. 

 

  1. A similar change could be made via 508(h), a mechanism for private companies to recommend alternative and/or supplemental insurance products for USDA’s consideration.

 

Explore the tool! You only need a web browser; no software is required for download. 

 

  • Learn how crop insurance prices are set by clicking on “rates.”
  • See how changes to those structures would play out for high- and low-stability growers by clicking on “claims.”
  • The “neighborhoods” tab shows where these changes are most likely to have impacts.

     

Spectral Indices Database

Schmidt DSE maintains a public database that tracks over 14,000 points in corn and soy fields across the midwestern US. This effort is complementary to our crop yield stability work. Recently Schmidt DSE created statewide and county-level maps that track continuous living cover, or instances where farmers are alternating between agricultural growing seasons and cover cropping, to supplement related research. This project will help track agricultural land use decisions and how they do (or do not) promote beneficial services such as soil carbon sequestration, protection of water quality, soil fertility, and habitat for soil biodiversity.

 

We are releasing an open-source codebase so that researchers can quickly generate new databases for their own locations and metrics of interest (project description available here).

 

Schmidt DSE’s Spectral Trends Database monitors over 14,000 corn and soy fields in the midwestern United States from 2000 to present day
Schmidt DSE’s Spectral Trends Database monitors over 14,000 corn and soy fields in the midwestern United States from 2000 to present day. The above chart overlays biomass yield and the “Specific Leaf Area Vegetation Index” (SLAVI) for a field from 2000 to 2012. SLAVI is one of 36 vegetation indices tracked by our system. The bottom row shows True-Color and SLAVI Landsat imagery from both before (the spikes in the chart) and after harvest.

 

 

 

Future Vision

We are continuing to explore opportunities for federal change in the long term. This includes leading an economic study that will help quantify the financial savings for USDA if the government were to implement our policy recommendations. In parallel, we are engaging with the American Farmlands Trust, which is working to synthesize and better understand the availability of cover cropping data. We look forward to advancing our collaboration with the University of Arkansas as it conducts experiments on the agroeconomical implications of decisionmaking under climate change. 

News

DSE Contributors

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    Tim Bowles headshot

    Timothy Bowles

    Faculty Advisor & Associate Professor
    Environmental Science, Policy, and Management at UC Berkeley
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    Maya Weltman-Fahs

    Maya Weltman-Fahs

    Senior Program Manager
    Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley
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    Sam Pottinger

    Sam Pottinger

    Senior Research Data Scientist / Software Engineer
    Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley
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    Nick Gondek

    Nick Gondek

    Data Scientist / Research Software Engineer
    Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley