Plants can produce visual, chemical and tactile cues. One such signal produced by the plants is the sound. Plants emit information in the form of airborne sound signal under stress conditions that can be remotely monitored. These sound signals carry detailed information about the health of the plant and can be used for plant monitoring and improving agriculture practices. Nevertheless, there have not been sufficient studies conducted regarding the ability of plants to generate airborne sounds that other organisms could potentially be able to detect. Interest in the airborne sound emissions from drought-stressed plants has led to theoretical notions about communication between plants and other organisms as well as between plants. Machine learning models can distinguish between different plant conditions based on emitted sounds. This study suggests a new and unexplored form of plant communication and signalling.
Sneha Hajare*
Dept. of Plant Physiology, Kerala Agriculture University (KAU), Vellayani, Thiruvananthapuram, Kerala (695 522), India
Arya S. Nair
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