AR1k – MISSION
Sustainable, Profitable Agriculture Through Research
The AR1K Solution And Objectives:
Scientists at the Department of Energy’s Lawrence Berkeley National Laboratory, working with the University of Arkansas and Glennoe Farms, are bringing together molecular biology, biogeochemistry, environmental sensing technologies, and machine learning, to help revolutionize agriculture and create sustainable farming practices that benefit both the environment and farms. If successful, we envision being able to reduce the need for chemical fertilizers and enhance soil carbon uptake, thus improving the long-term viability of the land, while at the same time increasing crop yields.
Through its pilot project in 2017, the team established a large-scale field research site which has produced extensive datasets and actionable insights for future land management strategies. The role of microbes in the health of the soil is at the center of this research.
Decreased Economic Risks
Revolutionize agriculture and create sustainable farming practices that benefit both the environment and farms.
Reduction of Inputs
Diminish the need for chemical fertilizers and enhance soil carbon uptake, thus improving the long-term viability of the land.
Improved Value of Crops
Provide farmers with methods for tracking sustainability practices that can lead to increased marketing opportunities.
Auxiliary Value Streams for Farmers
Data-driven farming practices allow farmers to quickly attribute positive and negative factors and uncover additional opportunity.
Improve the livelihood of farmers by optimizing soil amendments with biology and data science and managing the crop cycle to enhance soil fertility.
The Arkansas Farm Bureau Visit AR1K’s Advanced Research Farm
AR1K is a community of researchers dedicated to advancing profitable and sustainable agriculture. By bringing farmers and top-notch scientist together, we seek to understand current farming practices and discover how new technologies and advances in biological research can be applied to achieve a better risk-reward economic model for the farmer and a more environmentally sustainable and long-term profitable outcome for the landowner.
Come join us.
- Microbes to Biome
- Effective Remote Sensing
- Drone Flight Protocols
- Advanced Image Analysis
- Intelligent Systems and Systems Optimization
- Machine Learning
- Enhanced Soil Assessment and Interpretation