Spatial analysis and data science
Spatial technologies and data science must be improved through active research to create broader ranging positive influence at scale.
Develop partnerships to solve food security challenges
Feeding a population that could reach 10 billion by 2050 is an enormous challenge. Food producers must balance growing more crops with higher nutritional quality while minimizing environmental impacts related to soil resources, water consumption, and CO2 emissions. Producers must dramatically scale sustainable practices, which will require connecting smart farm leadership with policy makers at state and national levels through new business models.
Spatial technologies and data science must be improved through active research to create broader ranging positive influence at scale.
Field operations must become much more efficient, which implies more automation and digitally supported precision farming.
The Internet of Things (IoT) will become critical to understanding current production status and move closer toward predictive analytical models.
GIS imagery and remote sensing will become critical to agriculture management by detecting change through multitemporal datasets and imagery in real time at scale.
CASE STUDY
Leaders in Florida are using GIS to connect potential buyers with farmers and producers of Florida-grown commodities.
CASE STUDY
During the COVID-19 pandemic, the State of Indiana created a GIS application to connect residents to nearby food pantries, meal sites, and schools.
INTERACTIVE MAP
The US Department of Agriculture's (USDA) Partnerships for Data Innovations team is improving data accessibility, analysis, and visualization.
INTERACTIVE MAP
A web-based app combines near real-time Earth observation data and GIS tools to monitor crop condition and assess postdisaster impacts.
INTERACTIVE MAP
Explore a map and website with data and data resources on USDA Agricultural Research Service (ARS) natural resources, genomics, and nutrition efforts.
Real-time mapping and analytics
Boost real-time monitoring and response rates when you define filters that focus on the data and events that matter most to you.
Analyze massive collections of imagery
Provide a fast, efficient way to process, analyze, and share imagery products enterprise-wide.
Self-service location analytics software
Use analysis software that fuses location analytics with open data science and business intelligence workflows.
Network-based spatial analysis tool
Solve complex routing problems. Plan routes for an entire fleet, calculate drive times, locate facilities, solve other network-related problems.
Your information at a glance
Present location-based analytics using intuitive and interactive data visualizations on a single screen.