Weeds

WeedChat: An AI-powered chatbot answers thorny questions

Mohsen Mesgaran, at the UC Davis Department of Plant Sciences, and team are developing a chatbot powered by artificial intelligence to help growers, backyard gardeners, landowners and others identify and treat weeds. The state Department of Food and Agriculture is funding the project with a grant of nearly $430,000. The development is expected to take two years.

Steam: Sustainable management for weeds, soil pests

Steam treatment offers growers a chemical-free way to control weeds and soil-borne diseases, benefiting both crops and farmworkers. UC Davis research in Salinas shows it boosts yields while preserving soil health, making it a promising tool for organic farming.

Automated technology fills the labor gap

At the Automated Technology Field Day in Salinas, cutting-edge machines tackled weed control with lasers, AI, and robotics. As labor shortages and regulations reshape farming, growers are embracing innovative solutions like canola oil sprayers and smart cultivators to boost efficiency.

Weed doctors seek solutions for pesky plants

UC Davis weed scientists help identify invasive plants and offer advice at Picnic Day’s “Ask the Weed Doctor” booth. Their research supports agriculture, fire prevention, and ecosystem health statewide.

Mesgaran creates new tool: Google Weed View

UC Davis researchers developed "Google Weed View," an AI tool that uses Google Street View images to detect invasive johnsongrass. The model identified 2,000 locations at low cost and could soon scale to monitor weeds nationwide.

Parasitic weeds threaten California tomato farmers

UC Davis researchers are tackling Orobanche ramosa, a species of broomrape and parasitic weed threatening California’s tomato industry. They aim to detect, manage, and stop its spread through field trials, drone imaging, lab studies, and industry collaboration.