Competitive Grants

• US-Israel BARD: Smart monitoring and acoustic spray system for precision crop stress management in controlled environment (Lead PI: Amihai Horesh, 2023-2026)
• USDA-NIFA AFRI Foundational and Applied Science: Real-time sensing of potato postharvest quality for crop loss management in bulk storage environment (2023-2027)
• USDA-NIFA Equipment Grants Program: Acquisition of a versatile plant phenotyping platform (PhenoPlant) to advance food and agricultural research (Lead PI: Helmut Kirchoff, 2023-2026)
• National Plant Germplasm System (NPGS) Horticultural Germplasm Evaluation: High throughput phenotyping of 700 pea accessions for yield components (Lead PI: Marilyn Warburton, 2023-2024)
• USDA-ARS Research Support Agreement: Development of phenomics tools for pulse breeding programs (Lead PI: Rebecca McGee, 2022-2024)
• USDA-NIFA AFRI Foundational and Applied Science: Phenomics and modeling enabled decision support for climate-adapted wheat germplasm development (2022-2025)
• USDA-NIFA AI Institute: Agricultural AI for Transforming Workforce and Decision Support (AgAID) (Lead PI: Ananth Kalyanaraman, 2021-2026)
• USDA-NIFA AFRI IDEAS: In sickness and in health till death do us part: Putting research into practice for a dairy summary measure of health (Lead PI: Craig McConnel, 2021-2026)
• WSU ARC Emerging Research Issues: Integration of high spatial and temporal resolution multiscale data for phenomics applications (2020-2023)
• USDA-NIFA REEU: FACT: Research experience for undergraduates on phenomics big data management (2020-2023)
• USDA-NIFA AFRI Foundation: MCRV: Dissecting microbiome-mediated crop rotational value of pulses and oilseeds in dryland wheat systems (Lead PI: Maren Friesen, 2020-2023)
• WSU CGIAR Borlaug Fellowship Program: Research Partnership and Exchange with CIAT (2019-2020)
• WSU CSNAR BIOAG Program: High-throughput screening of forage crops for environmentally sustainable crop production (2019-2021)
• USDA-NIFA AFRI Foundation: Genomics-enabled satellite phenomics for wheat breeding in the Palouse (Lead PI: Zhiwu Zhang, 2019-2023)
• WSDA Specialty Crop Block Grant: Novel sensing for potato postharvest quality and loss management in bulk storage environment (2017-2021)
• WSU CAHNRS-CVM Livestock Health and Food Security: Mothers in Danger: Precision dairying to measure the burden of maternal disease phenotypes (Lead PI: Craig McConnel, 2017-2019)
• IMAGINE Educational grant: Measurement instrumentation for education (2017)
• USDA-NIFA SCRI: High-throughput sensing for potato production and breeding (Lead PI Jeffery Endelman, 2017-2018)
• WSU ARC Emerging Research Issues: Integration of large-scale genomics, phenomics, and systems-level modeling for next-generation biomarkers in breeding (Lead PI Stephen Ficklin, 2017-2019)
• USDA-NIFA AFRI Foundation: High-throughput phenotyping techniques to advance variety selection in grain legume (2017-2023)
• Washington Wheat Foundation: Multispectral camera (visible and near infrared) to phenotype wheat varieties  (2017-2018)
• USDA-NIFA AFRI Food Security: Next generation variety development and education for grains, apples, alternative crops, and cool season legumes (Lead PI Arron Carter, 2016-2020)
• WSDA Specialty Crop Block Grant: Deep sub-surface micro-irrigation to increase water use efficiency in Washington vineyards (Lead PI Pete Jacoby, 2015-2018)
• AFRI Foundation: Advances in high-throughput phenotyping (2015-2016, Final Report)
• Apple Commission: Effectiveness of foliar calcium applications in apple bitter pit management (Lead PI Lee Kalcsits, 2015-2017, Final Report)
• National Crop Insurance Services: Phenomic research development fund (2015)
• WSDA Specialty Crop Block Grant: Rapid detection technologies for in-field and post-harvest apple bitter pit management (Lead PI Lav Khot, 2014-2017)
• Washington Wheat Foundation: 2D light detection and ranging (LiDAR) system for rapid field phenotyping of spring and winter wheat varieties (2014-2015)
• WSU ARC Emerging Research Issues: Developing high-throughput sensor technologies to screen water use efficiency in model crops (2014-2016)