Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** plant diseases cause 20 to 40% of…

Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** plant diseases cause 20 to 40% of global crop loss annually, resulting in estimated economic losses of $30 billion to $50 billion annually. Precise plant disease phenotyping is crucial to selecting plants in resistance breeding programs for developing better disease-management strategies. However, traditional selection practices for desirable phenotype related to plant diseases and yield is in-field manual scouting, a labor-intensive, subjective, and inefficient process which considerably limits experiment scale and data acquisition frequency. We propose a dynamic in-field phenotyping system for monitoring disease-related traits across multiple scales and environments to expedite genomic research. In this project, we will use tomato production as our model system for optimization, tomato is a major industry in the southeastern united states.