From Rice Fields to Accelerating Vegetable Breeding
NC State University doctoral student Kashish Grover is revolutionizing plant breeding by combining artificial intelligence, advanced genetics, and computer simulations.
Streamlining the Breeding Process
Traditional plant breeding is a lengthy process, relying on labor-intensive field trials and manual evaluations, often taking over a decade. Grover's research leverages genomic selection, computer vision, and digital simulations to expedite this process.
Virtual Testing and Time Savings
Grover's projects range from automated camera systems for evaluating cucumbers to predictive computer models. These tools enable scientists to test breeding strategies virtually, reducing the time spent on manual measurements and field testing.
Addressing Climate Resilience
Climate change adds an additional layer of complexity to plant breeding, as growers need varieties that can thrive in changing conditions. Grover's work aims to develop new, climate-resilient crop varieties more efficiently.
Key Contributions
"Grover has an extraordinary ability to learn and develop many projects concurrently," says Roberto Fritsche-Neto, associate professor of horticulture. "From greenhouse to computer models, he has contributed significantly to developing new varieties and tools."
Automating Cucumber Phenotyping
One of Grover's current projects involves an automated, image-based phenotyping system for cucumbers. This system, developed with the help of visiting scholars, uses digital photography and image analysis to evaluate cucumber traits, bridging plant genetics and computer science.