Biologists have begun to “listen” to plants, deciphering the electrical signals they emit when under attack by pests or pathogens, according to recent research from Syngenta in Basel, Switzerland. Using machine learning to process the vast data generated by plant electrophysiology, scientists can now detect moments when crops are stressed, effectively giving farmers an early warning system for crop protection.
Plants transmit electrical signals through ion currents that transport water, minerals, and nutrients throughout their tissues, a process known to botanists for more than a century. Until now, however, these signals were meaningless to humans. By wiring plants in their glasshouses with high-speed electrodes, researchers recorded 256 data points per second, capturing real-time responses to threats such as nematode worms in soil and stink bug swarms in soybean crops.
Patrik Hoegger, head of Syngenta’s insect control research group, described the signals as the plant equivalent of dialing 999: “It’s the plant’s way of saying, ‘Ouch, I’m being hurt.’” The early detection is critical, as pests like nematodes and stink bugs often cause damage that is only visible after crop yield is already affected. Soybeans, which account for roughly half of global plant-based protein, lose about 21 percent of their crops annually to pests and diseases.
The technology also promises to reduce pesticide use. By identifying the precise timing of attacks, farmers could deploy more targeted and environmentally gentle treatments instead of broad chemical applications. While current monitoring can detect general stress, the team aims to eventually distinguish between different insects, fungal infections, or diseases, creating a “dedicated library” of plant distress signals for future precision agriculture.
Anke Buchholz, a plant scientist at Syngenta, said that ten years ago, decoding such data would have been impossible: “A human cannot handle this amount of information. Machine learning has transformed our ability to understand what plants are telling us.” This innovation could mark a major step toward smarter, more sustainable crop management, allowing humans not only to hear plants’ cries but eventually respond effectively to protect them.
