Abstract: The present invention relates to a method for identifying fruit shelf life automatically based on thermal imaging Identifying every day the pattern of change in temperature of fruit's thermal image, we can predict the shelf life of fruit which is how many days the fruit will remain edible in an accurate manner without destructing the fruit. In this system, thermal dataset is created comprising of samples of thermal images (206) of fruit taken on every day after harvesting where fruit may be from cold storage or room temperature using thermal imaging device (204).