Plants use internal electrical, hydraulic and chemical signalling networks to coordinate growth and defence. Electrical signals are some of the fastest to spread information across the entire plant. Vivent’s technology, and artificial intelligence, lets researchers interpret this information to measure plant health, and to diagnose stressful conditions e.g. pathogens prior to visible symptoms. In response to (a)biotic stimuli the ion transporters in many individual plant cells respond simultaneously, producing an electrical change characteristic of that stimuli. Advanced signal processing isolates this characteristic in different time scales and provides an accurate diagnosis of the plant’s condition in real time. Interested in learning more about plant electrophysiology? Download our selected Publications Bundle below!
In this paper, you will find the following publications:
- Advanced assessment of nutrient deficiencies in greenhouse with electrophysiological signal.
- Identifying General Stress in Commercial Tomatoes Based on Machine Learning Applied to Plant Electrophysiology.
- Classification of Plant Electrophysiology Signals for Detection of Spider Mites Infestation in Tomatoes.
- Early Diagnosis of Iron Deficiency in Commercial Tomato Crop Using Electrical Signals.
- Logistics Models for Stimulating the Growth of Plants by Defining the Maximum Plant Size as the Limit of Information Flow.
- Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.
