Context-aware agriculture organizer

Ubiquitous computing has become popular and is in demand in many fields of human activity. This kind of computing could significantly enhance applications such as an organizer by making it more agile through sensing the environment. The context-aware agriculture organizer (CAAO), which was pursued by this study, facilitates farmers work by providing relevant contextual information to the users, thus simplifying the selection of plants and resulting to better harvest and more effective resource usage. The idea behind the CAAO is not to control the process of crops growing but rather make it smoother and more productive while simultaneously providing a platform for agricultural research. The study had objectives of creating a technical framework for CAAO with basic functionality and providing ideas for further development. Literature analysis and exploratory software development served as methods of the study. Context-awareness in the CAAO can be achieved by data acquired from sensors, and sensor observation service (SOS) is used for this purpose. The main benefit of SOS is that it connects together different types of sensors. Proposed CAAO framework provides ample of opportunities for further development and makes the system a hub of agricultural services. The mix of web mash-up and ubiquitous computing can enrich the framework and provide an up to date and on demand services. Current version of the CAAO is limited to cotton crop and it does not yet establish physical connection with the sensors. The next steps in the development are to establish connection to sensor networks and to test the CAAO in a real world context.