Syngenta tests new tomato varieties with AI, data and robotics at TomatoVision site

The research site in Maasland brings together digital tools, plant science and automation to guide tomato breeding and variety selection.

NETHERLANDS – Syngenta is using artificial intelligence, data analytics and robotics to test new tomato varieties at its TomatoVision research facility in Maasland.

The company says the site helps teams study crop traits and make choices that shape future tomato products.

TomatoVision works mainly as a research and development centre. Syngenta says about 90 percent of the work there focuses on generating data that supports decisions in tomato breeding.

“This is the place where we see our hybrids for the first time in the right conditions,” said Haoyang Duo, Senior Breeder at TomatoVision. “We use molecular markers to increase breeding efficiency and to combine desirable traits more effectively.”

Controlled environment and data-driven testing

The greenhouse covers about 14,000 square metres and mirrors real growing conditions. It includes areas with and without artificial light, climate control systems and spaces for evaluation and demonstrations. Researchers monitor temperature, humidity, crop growth and yield in detail.

Teams test hundreds of tomato varieties each year. Only about one to three percent move forward to commercial release. Each potential variety is measured against a defined product profile that includes taste, fruit quality, shelf life and production traits. Syngenta aims to combine several traits into one hybrid that meets market needs.

Digital tools support traditional breeding methods. Researchers analyse large datasets to understand how different traits perform at each stage of development, from early concepts to taste testing.

Robotics, automation and biological processes

Robotics play a key role in the research process. Automated harvesting systems test how plant structures respond to machine harvesting. Some varieties grow in dense clusters, which can make machine harvesting difficult. TomatoVision researchers study plant structures that work better with automation.

Machine learning helps robotic systems improve over time. Syngenta says this work supports growers who face labour shortages and consider automation.

Biological processes remain central to operations. Bees pollinate plants inside the greenhouse, supported by additional feeding because tomato flowers produce limited pollen. Beneficial insects help manage pests and reduce reliance on chemical controls.

The facility follows strict phytosanitary protocols to protect crops and research work, especially against tomato brown rugose fruit virus. The virus spreads quickly and can reduce yield and fruit quality.

Syngenta continues to develop tomato varieties with resistance to the virus. The company has already released varieties with intermediate resistance and continues research on tomatoes with multiple resistance sources using conventional breeding supported by data tools.

Syngenta says the work at TomatoVision aims to deliver tomato varieties with stronger disease resistance, better production performance and compatibility with changing farming practices.

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