PhytlSigns innovative biosensors can effectively detect a wide range of crop problems using plants’ own signals

Plant electrophysiology can be used to investigate and detect a wide range of crop stressors before visual symptoms appear and deliver actionable insights for both professional growers and for plant scientists.

For Professional Growers

Turn plant intelligence into business intelligence

Information on a wide range of crop threats can be diagnosed in real time.

Growers receive alerts on smart devices, on greenhouse screens or can integrate PhytlSigns with other information systems like greenhouse climate control or nutrigation systems.

Key benefits

  • More effective scouting; early detection and alert of crop threats

  • Increased crop yields

  • Reduced water, fertiliser and pesticide usage

Stressors

  • Fungal, viral and bacterial diseases

  • Insect infestations in foliage and soil

  • Nutrient deficits – macro and micro elements

  • Heat stress – temperature and relative humidity

  • Light quality

  • Wounding

  • Mechanical stress from wind, supports or animals

Use PhytlSigns to grow more food with lower environmental impact.

For Plant & Agricultural Scientists

Turn plant intelligence into actionable knowledge

PhytlSigns can be used to investigate plant responses to diseases, pests, crop protection treatments and environmental conditions.

For breeders, the impact of genetic variations on responses to drought, climate conditions or other stressors can also be quantified.

Key benefits

  • Low cost sensor for investigating electrical signals
  • Easy to set-up and use
  • No need for Faraday cage

  • Portable & can be used outdoors

  • Able to monitor plants for short or long time periods

  • Able to monitor soil, root or leaf-based stressors

  • Many stressors can be studied with 1 device

  • Knowledgeable support from Vivent’s team

  • Suite of analytical tools to help turn plant intelligence into scientific breakthroughs.

Use PhytlSigns to influence the future of global food production.