ABSTRACT
This chapter is focused on the use of deep learning concepts and analyzing real-time data based on the location of users to detect effectively and rapidly crop diseases and pests. The images and other data like locations will be collected using camera devices like mobile and sent to an online server. The server will filter the possible diseases and pests by using previously collected data and downloaded data related to a given location like temperature conditions. Then, neural networks can be used to figure out crop diseases/pests and results would be sent back to devices.
