Application of deep learning in agriculture

Deep learning has transformed agriculture sector to its new level. Deep learning uses techniques such as conventional neural network, RNN and GAN. This gives better results and encourages agriculture domain. The procedure of deep learning uses processing of images and studying the information with efficient results. The intense growth in deep learning field has shown a lot of good results in general but it is emerging as a boon in agriculture field. By comparing deep learning with one prevailing common procedure, it can be said that this method is outperforming the existing commonly used image processing technique and has greater precision. Deep leaning allows mathematical systems which are made up of many processing stages to represent information with many levels of abstraction. Neural network and back propagation are the basis of deep learning.