Alina Zare

Tangy Citrus Phase 1B

Hyperspectral imaging to detect peanut kernels at high-risk for Aspergillus and aflatoxin

DSFAS: AI-driven genomic and crop simulation models for enhancing plant breeding using high-throughput phenotyping

Systems Biology and Adaptation in Switchgrass: Discovering Mechanisms Underlying Plant-Microbe-Soil Interactions and Abiotic Stress Tolerance

Center for Multiscale Modeling of Multiphase Combustion - A PSAAP-IV Predictive Science Center (PSC)

From timber to pastures: tracking soil organic carbon sequestration in a chronosequence in North Florida

DSFAS: Getting to the core of roots: process-based model informed machine learning for phenotyping and mapping

DEFENSEWERX RESEARCH AND DEVELOPMENT AGREEMENT

Multi-modal Image Fusion for Improved Automated Detection of Manmade Objects

MCA: Improving understanding of controls over spatial heterogeneity in dryland soil carbon pools in the age of 'big data'

Equipment: MRI: Track 2 Acquisition of a Novel Performance-Driven 3D Imaging System for Extremely Noisy Objects (NPIX)

HCC: Medium: Optimizing Interactive Machine Learning Tools to Support Plant Scientists using Human Centered Design

Long-term Competitiveness of U.S. Seasonal and Perishable Agricultural Products: Research and Extension Planning Project Proposal

NPB SPRI FY23: Identifying drought-resistance traits and drought stress limits of southeastern peanuts.

Domain Transfer for Continuity of Performance Across Synthetic Aperture Sonar Systems

COUNTERMINE DIVISION’S ELECTRO-OPTICAL AND INFRARED DETECTION ALGORITHMS

Reducing Aflatoxin Contamination in United States Peanuts

Separating Plant Drought Responses from Impacts of Soil Temperature and Moisture on Aflatoxin Formation in Peanut

DSFAS-CIN: Alliance of Plant Phenotyping Software (APPS) Developers: Integration  and Interoperability of Open-Source Tools to Support Plant Phenotyping for Agriculture

Passive Acoustic Detection of Reef Ecological Soundscapes Singapore (PADRES Singapore)

An integrated approach to prevent and detect of aflatoxin contamination along the peanut supply chain

AEROFUSION-MLUQ: Mars Lander Aerodynamic Model Database Fusion Using Machine Learning with embedded Uncertainty Quantification

FACT: FreshID - Machine Learning for the Molecular Evaluation of Fresh Produce Quality

NSF Engineering Research Center for Internet of Things for Precision Agriculture (IoT4Ag)

Testing predictions of plant–microbe–environment interactions to optimize climate adaptation and improve sustainability in switchgrass feedstocks