Published Paper Details:

Most people's livelihoods depend directly or indirectly on the agricultural sector. In recent decades, it has been discovered that soil fertility is linked to sustainable agriculture, and that preserving soil fertility can increase present crop output levels. In agriculture, a decision support system is necessary due to a variety of aspects, including the desired yield. Water use may be optimized to a significant extent by monitoring soil moisture as the water table drops day by day. Because moisture content is helpful to agricultural development, the steps involved in crop production can be improved when we can accurately anticipate moisture levels. We need to know the moisture content of any area or place so that we can estimate how likely it is to face a famine. CNN model has been applied for classification of real time image data obtained from satellite resources. Predicting droughts with a lengthy lead time and in a changing environment due to both natural and manmade causes still presents difficulties. Hence the Deep Learning models like CNN and VGG16 transfer models are implemented and compared for their performances.