Conservation of Natural Resources
DUE: September 19, 2023 Seeking innovative technologies to conserve, monitor, improve and/or protect the quality and/or quantity of natural resources while sustaining optimal farm and forest usage.
AEROSPACE AND DEFENSE
Animal Production and Protection
DUE: September 19, 2023 The Animal Production and Protection topic area aims to develop innovative, marketable technologies that will provide significant benefit to the production and protection of agricultural animals.
Biofuels and Biobased Products
DUE: September 21, 2023 Seeking technologies for the increased production of biofuels, industrial chemicals, and other value-added products from agricultural materials.
Small and Mid-Size Farms
DUE: September 19, 2023 Seeking to promote and improve the sustainability and profitability of small and mid-size farms and ranches.
Plant Production and Protection- Engineering
DUE: September 19, 2023 Commercializing engineering technologies that enhance system efficiency and profitability and protect crops from pests and pathogens in economically and environmentally sound ways.
Space Metamaterial Electronically Scanned Array (Space-MESA)
Due: December 31, 2023 Seeking metamaterials suitable for space-based, cost-effective, fully-steerable track-while-scan radars
Super-Resolution Thermal Metrology For High Power Density Devices
Due: December 31, 2023 Supporting the development a super-resolution thermal metrology tool for the accurate characterization of the thermal resistance of semiconductor materials, heterostructures and devices.
Synthetic User Personas (SUP)
DUE: December 31, 2023 Seeking comprehensive synthetic cyber security data for training and validating holistic cyber defense platforms.
Wearables At The Edge To Augment Readiness (WEAR)
Due: December 31, 2023 Developing a secure, low SWAP framework for real-time analysis of sensory data from wearables to monitor warfighter health and readiness at the edge.
Exploiting Sparsity In Python (ESPy)
Due: December 31, 2023 Identification of programmers to develop methods for effectively and efficiently processing spare Python data sets of varying size, dimensions and complexity.