The soil management plays a key role in yield efficiency, ecological stability and human health both directly and indirectly. Soil is a diverse natural resource having complex processes and fuzzy mechanism in which the temperature of soil also plays an important role in the precise investigation of climatic variations of an area and its ecological behaviour. Machine learning algorithms play a significant role in measuring soil temperature and dampness so as to understand the dynamics of ecosystems and its impact on agriculture.

  • Ghosh and Koley (2014) introduced a new technique called back propagation network which gives better results for finding the good properties of soil instead of using traditional method called multivariate regression model. The working rule of back propagation networks is to train the particular crop which has certain properties.

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