A Review on Artificial Intelligence for Smart Agriculture

The development of Artificial Intelligence Techniques has created modernization in the agricultural domain. The agricultural sector needs innovation to survive with the varying climatic conditions and other environmental factors. The factors like, Soil Prediction, Plant Condition, Weather and Crop Yield plays a vital role in smart farming. Uncertainty in the above parameters makes agriculture very critical. Machine Learning Techniques support conventional farming in a cost-effective approach. The implementation of Machine Learning in the agricultural aspects is to increase crop growth, create a subtle environment for the crop, change plant cultivation to produce more with less resources and crop cultivation management process. In addition, Deep Learning algorithms in agricultural field provide better results in crop production and productivity. This chapter reviews about role of Artificial Intelligence and applications in Smart Agriculture.