Publication Type : Journal
Thematic Areas : Wireless Network and Application
Publisher : (2013).
Source : (2013)
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Mechanical Engineering
Verified : Yes
Year : 2013
Abstract : Environmental disasters are largely unpredictable and occur within very short span of time. Prior detection and warning of environmental disasters is more challenging and very important for survival. Plants are intelligent forms of life that are capable of providing pre- information about environmental hazards avoiding big catastrophe to human kind. Action potentials are a type of electrical signals from the plant that are transmitted along the cell membrane. The plant electrical signal is the reaction of plants to the stimulation or interfering with various conditions of environments. Communication from the plants can be achieved through modulation of the amplitude, frequency change, change in resistance and the rate of propagation of the electrical signal in the plant tissue. The aim of this research is to study and investigate plants response to environmental hazards such as landslides, earth quake, volcanoes or Tsunami etc, by receiving the signals generated from the plants in the nearby areas and to develop an intelligent wireless plant sensor network which can be used to predict the environmental hazards due to changes in the environment. However, as a first step, plant’s response to landslides has been investigated in this paper. The experiments are conducted on the landslide setup to find the responses of the plants to the external stimulations are presented. It is found that the generation of electrical signals from the plant using electromyography sensors (EMG) during the beginning of the landslide gives pre-information which can be detected and communicated through wireless network to prevent the major loss. Keywords: Plant EMG sensor system, Electromyography signals, landslide detection, Plant action potentials.
Cite this Research Publication : A. K, Freeman, J., and Udupa, G., “An Intelligent Plant EMG Sensor System for Pre-detection of Environmental Hazards”. 2013.