iPiPE Strategic Plan 2020-2025

Protect crop yield and increase farm profitability through sharing unbiased, science-based tracking and forecasting information about agriculturally important organisms.

Scope

  • Object: Agriculturally Important Organisms: insect pests, pathogens, weeds; beneficial insects and microorganisms. 
  • Geography: All U.S. states and territories.
  • Products: Publicly distributed maps, forecasts and alerts; specialized mapping and forecasting services; software for scouting and model development; high-density data sets for research.
  • Target Audience: Crop consultants, Extension professionals, ag retailers/coops, growers, crop protection suppliers including farm management software providers, processors, private and public sector researchers, organizations monitoring beneficial organisms. 

Mission

The iPiPE network works with partners to collect data and provide timely, actionable, unbiased and science-based information on agriculturally important organisms to farmers and their advisors. This information includes real time maps, alerts and forecasts to improve crop health, productivity and economic returns.

Vision

Farmers and their advisors have ready access to local, timely, science-based intelligence on agriculturally important organisms to protect yield, increase profitability and enhance sustainability. 

Core strategy 1

Drive collection of timely field observations of agriculturally important organisms through our network of experts, advisors, growers and their technology tools.

Objective 1: We will find or develop the most effective methods for data collection and sharing by listening to our partners, understanding their use case, and adapting to it.

Initiative 1: Introduce contributors to the right collection tools for their needs, to maximize the value and efficiency of the contributor, expand the adoption of networked platforms, and open up data flow.

  • Inventory tools of existing data management platforms and their direct aim.
  • Identify and reach out to additional stakeholders.
Initiative 2: Drive growth of data contributors to all data management platforms, not just ours.
  • Identify high potential target crop pest programs that feature both critical pest information needs and high pest data density.
  • Expand outreach team.
  • Reach out to crop protection product manufacturers to understand their needs.
  • Reach out to advisors/consultants/ag retailers/suppliers.
  • Reach out to existing data collection projects, including pollinators and other beneficial organisms.
  • Expand data gathering in focused CPP to reach critical data density for local decision making.
  • Demonstrate ROI to platforms from increasing number of users contributing data.

Initiative 3: Provide assistance with effectively getting data into the database.

  • Support existing CPPs in completing NIFA grant obligations.
  • Continue development and support of collection tools aligned with Extension and public sector needs, with improved functionality and user experience.
  • Understand the offerings of participating platforms, give them recognition, and connect prospective users with them. 

Initiative 4: Secure funding lines to grow data collection and aggregation efforts.

Objective 2: We will earn and cultivate our partners’ trust by being good custodians of their data and protecting our independence.
Initiative 1: Observe iPiPE’s data sharing policies to protect our partners’ privacy and confidentiality.
Initiative 2: Expand our advisory team to include representation from several market-leading businesses, government agencies, and trade organizations with a stake in the project.
Initiative 3: Diversify our sources of funding to include several market leaders, government, and revenue from the sale of products and services.
Initiative 4: Finalize assignment of all software code ownership to an ad-hoc non-profit organization.
Initiative 5: Establish ourselves as a University-based organization with private and public partners.

Objective 3: We will train the next generation of agricultural and IPM scientists/practitioners within an environment of data sharing.
Initiative 1: Create national internship program that places undergraduate interns with all categories of contributing partners in exchange for structured training in the partner’s area of expertise and collection of agriculturally important organism observations.
Initiative 2: Recruit funding lines to support internship programs specifically.

Core Strategy 2 

Establish our data warehouse as a trusted and effective repository of shared, accurate and actionable information.

Objective 1: We will reduce barriers to participation.

Initiative 1: Develop outstanding documentation and support to allow more data collection platforms or organizations to participate.

Initiative 2: Maintain the most inexpensive, reliable, accessible, and secure systems.

Initiative 3: Monitor performance closely and keep pace with technology as it evolves.

Objective 2: We will identify emerging high spatiotemporal resolution data clusters and deliver ROI to data contributors.

Initiative 1: Establish frequent consultation with Extension, advisors and crop protection product manufacturers to direct exploratory efforts.

Initiative 2: Provide feedback to data collection to increase adoption and volume in those clusters. 

Initiative 3: Analyze data warehouse inventory continuously. 

Initiative 4: Inform the model development pipeline. 

Initiative 5: Monitor and confirm that critical density for local decision making is achieved and maintenance.

Core strategy 3 

Produce and deliver maps, alerts and forecasts to inform local pest management decisions in order to protect yield, increase profitability, and improve sustainability.

Objective 1: We will use data summaries and model output to create and deliver products that are clear, concise, and timely to inform local decision-making within any data collection and/or advising platform. 

Initiative 1: Give public, free access to and usage of simple, intuitive and useful mapping and forecasting products. 

Initiative 2: Guarantee easy integration into a variety of media environments. 

Initiative 3: Respond quickly to user needs and feedback. 

Initiative 4: Demonstrate ROI of usage of model outputs and data summaries for platforms. 

Initiative 5: Develop specialized products to meet the advising needs of Extension and advisors.

Objective 2: We will build a user-friendly, easy-to-navigate storefront for our products and services.

Initiative 1: Enhanced access for data contributors. 

Initiative 2: Public access to Extension-created products. 

Initiative 3: Demonstrate ROI of products and services for platforms and advisors. 

Initiative 4: Monetize specialized products and services. 

Objective 3: We will build and maintain data collection and management tools tailored to Extension and public sector users.
Initiative: Create an interface for access to both general and specialized products for users of the Extension and public sector-centered data collection tools, integrated with those tools.

Core strategy 4
Build and deliver a cloud-based modelling platform for public and private sector researchers to develop and evaluate forecasting models by tapping into our aggregated, high spatiotemporal resolution datasets.

Objective 1: We will build a robust environment and assemble a strong team to develop, evaluate and run forecast models. 
Initiative 1: Build tools for model development, calibration, validation that are convenient to use and easy to access.
Initiative 2: Maintain the trust of data contributors by protecting the confidentiality of their data.
Initiative 3: Provide superior documentation and assistance at all steps of the modelling process.
Objective 2: We will make our modelling environment accessible to public and private sector researchers.
Initiative 1: Create a community of public sector model developers whose work and products are shared within our platform.
Initiative 2: Demonstrate ROI of access to the aggregated data for model development in our environment to crop protection product manufacturers.
Initiative 3: Establish extremely stringent mutual confidentiality mechanisms and/or agreements to protect the confidentiality of both the point-level data and private sector models, model evaluations, and model products.
Initiative 4: Monetize usage by private sector modelling teams.