Disease Identification and Intimation of Cauli Flower Crop through Tensor Flow and Open CV

Abstract

In India 70% of the agriculture field is based on crops only. It might be directly or by indirectly incorporated. So the management of the crops is most important activity. For survival of the crops from many more attacks of diseases, it will take more time to observe by manually. From many more years most of the people tried to do the same thing in different ways that is manual intervention. Each method is having its advantages and disadvantages too. We tried it at most thing has to be done to eliminate the manual intervention by introducing the advanced technologies in to the agriculture field. By using raspberry pi micro-controller and with python we can monitor the crop fields and we get the accurate results with minimal hardware. In this project we are using pi controller and with python software for image processing. In this project we are introducing the cloud storage for storing the data from live feed for the futuristic purpose. All the time we cannot get the past data from the live fields. For understanding the diseases data base and for the analysis we need data has to be mined in the cloud storage. So that we can retrieve the data whenever we need. And for the other future researches also. One more way to collect the data from the files first is we should know the data set types. After knowing what types of dataset, we need, then we should search for the same type of crop but we don't know which place we can get the same crop data set. Even though if we found it owner of the crop fields has to agree to collect the data sets from fields. Because he don't have the knowledge of these all collection he may have fear what if crop may get damaged. So first of all we should clear his fearful thoughts, then only we can get the permission to collect the live feeding of the crop. After that we should keep our hardware setup first in the crop field. After setting up us should start collect the data. Before starting the work we should know clearly about the data sets, how we are going to analysis the data sets, and the storage type of the data. How we are collecting the data and how we are storing the data is important. It may be either local storage, global storage or live feed etc...