An Analysis on Application of Deep Learning Techniques for Precision Agriculture

Technological support to agriculture will enhance its productivity. Deep learning is known for its high accuracy level in whichever domain it is implemented and sometimes even it surpasses human performance. Deep learning is making a huge difference in the current agricultural landscape. It is being widely used for improving irrigation facilities, pest - disease detection at the earlier stage and crop yield estimation. Deep learning-based image processing shows better improved results than the traditional image processing techniques. This research paper gives an overview of the applications of deep learning methods used in precision agriculture particularly in irrigation, pest and diseases control, and yield estimation.