A Comprehensive Review on Deep Learning Techniques for Disease Detection in Cotton Crops

Resumen

Every nation has its individual strategies towards its economic growth. But the backbone of any nation’s economy is agriculture. On the other hand, technology is gearing up to new horizons leaving its impact on all the sectors. Most importantly, Health and agriculture are amongst in which AI based techniques are being used and still there is a lot of scope for advancement. Cotton being called as white gold to be preserved very well in terms of crop yield and at the same time it must not be a burdensome. The scenario is that there are huge losses in this field due to various reasons among which crop or plant diseases being a primary reason. Several researchers proposed Deep learning-based solutions for early identification of the diseases in cotton crops. However, there are gaps left uncovered which are taken up as research interest. In this paper, in addition to the cotton plant diseases explored and presented, various research articles are made as a part of our study and the contributions of respective researchers are cited. The advent of deep learning and its applications have been discussed briefly. Available image Datasets related to cotton crop diseases are also presented in the paper.