ABSTRACT: Plant abiotic stress has been a major problem for reduced crop yield and imposes the key challenges to farmers for dealing with abiotic stress. Salinity stress is one the abiotic stress, which causes huge loss in crop yield and needs immediate attention to reduce the salinity stress effect on plants growth. The general symptoms of damage caused by salt stress are growth inhibition, accelerated development, senescence and death during prolonged exposure. This paper showcases one such work towards determining the effects of salinity stress on plants growth and possible ways of predicting the salinity stress responses. The built prediction model for stress response is used for engaging the necessary actions in advance to minimize the stress effect. In this work, Wireless sensor Network technology is used to collect the real time data of plants under salinity stress and collected data is analyzed to build a prediction model for predicting the possible salinity stress responses. The results showcase the different effects of salinity stress on plants and evaluation of stress response prediction models by conducting repeated experiments.
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