China: Automating pollination for growers

China: Automating pollination for growers

Source: VFD.com

China: Automating pollination for growers China's agricultural sector is undergoing a rapid structural transformation, with science and technology now contributing more than 64 percent to agricultural output growth, underscoring a decisive shift away from labour-intensive practices toward a modern, innovation-led production system. Improved crop variety coverage has surpassed 96 percent, while the comprehensive mechanization rate for crop cultivation and harvesting has reached 76.7 percent, reflecting the deepening integration of advanced tools across the farming value chain.

In controlled greenhouse environments, automation is already redefining traditional breeding practices. At the Institute of Genetics and Developmental Biology under the Chinese Academy of Sciences, the GEAIR intelligent breeding robot is being deployed to perform precision pollination tasks on tomato plants.

Traditionally reliant on manual labour-intensive hybridization techniques, breeding processes are now being streamlined through the combined application of gene editing and artificial intelligence, enabling crops such as tomatoes and soybeans to express traits that reduce or eliminate the need for manual intervention. At the same time, labour costs have been reduced by more than 25 percent, while artificial pollination time for soybeans has been cut by 76.2 percent, signalling a significant productivity leap in agricultural R&D.

Why this matters: For operators, this is a water-management story. The useful signal is that direct substrate measurements can help cut drain loss materially without giving up yield or fruit quality, which is exactly the kind of controllable efficiency gain a facility can build on.

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Frequently Asked Questions

Why does substrate sensing matter in free-drain strawberry systems?

Because drain percentage tells a grower what already happened, while substrate moisture and EC data show root-zone conditions directly. That makes it easier to cut water loss without guessing.

What is the operator takeaway from this trial?

If the thresholds are understood well enough, growers can reduce drain water materially while protecting yield and fruit quality, which makes sensing an operational tool instead of a reporting tool.

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