With migrating populations towards cities and global urbanization, there arises a need to automate certain sections of
agriculture. Precision agriculture has emerged as an active areas of research in which computational and data processing
techniques are being applied in the domain of agriculture. One of the most common and menacing problems which farmers face
is crop diseases which result in malnourishing the actual crop and in some cases completely destroying the crop. Hence,
machine learning and deep learning based techniques are being extensively studied and explored to design systems which can
identify diseases among plants, automatically.
