A Cloud-Based Framework for Agriculturists on Mobile Platform

India has mainly two agricultural seasons in a year: the Kharif season or summer season and the Rabi seasons or winter season. Thus, a proper advice for the correct crop to plant is very much needed to fulfill the need of India. Farmers more than an age of fifty uses their own traditional way of cultivation and harvesting and may result good but the new farmers with young age group mess-up and results failure. Here, AgroMobile computing helps such farmers to look up the correct crop to plant after a particular crop. This IaaS also provides information for a single, double and multiple cropping and increase the knowledge of crop rotation and the mixed cropping. This all service is in real-time and on the users mobile device itself in a customized form. After this IaaS, a SaaS for crop analysis is proposed. In this service, the crop images are sent to the server and asked to process and analyze it. The seasonal disease attacked in field can be known using Image Processing (IP) algorithms and some knowledge-based classifiers running on the server, by the virtual machine [19] allowing hardware and memory virtualization. The processing is done offline as to reduce the workload of mobile device. A low-level image processing operations can be performed on the mobile devices like color transformation, gamma correction, linear and non-linear filtering, simple noise reduction, image enhancement, and others. These operations are simple and requires less memory for execution and can run on mobile devices with low bit processor. The intermediate-level and high-level image processing operations are segmentation [20], extraction edge, lines and contours, object recognition. In [21] plant species are identified using Curvelet transform, equation 1, and many other methods are running on the server. They all are computationally complex algorithms and executed on AgroMobile servers with a high computation and memory power. There it introduces a distributed computing concept helping Indian farmers at every grass root levels.