**4. Conclusions**

This chapter presented the water quality monitoring, control, and management framework for a collaborative control and management of agricultural drainage water for addressing the issue of prevalent water crisis. The framework leverages individual networked farms and streams into an integrated water management mechanism. Such a monitoring system should enable each farm to share information about its drainage flow with neighbor networks, for example, with a drainage bay network, which can then process the information for timely treatment, disposal, or reuse of the drainage.

*Water Sustainability through Drainage Reuse in Agriculture – A Case for Collaborative Wireless... DOI: http://dx.doi.org/10.5772/intechopen.106486*

To implement the drainage management, the architecture of the WQMCM framework comprises various modules. Modules for a drainage bay network include neighbor linking model, and predictive models for drainage and pollutant dynamics, whereas, for a farm network, a decision support model is used to ascertain the reusability of the predicted drainage event. The overall functionality of the framework is explored in terms of stages of learning, training, and testing. In the learning stage, neighbor linking model is used to determine the correlation of events in various farm networks with the events received in the drainage bay by the drainage network. The model results in identifying linked and un-linked farm networks by using a combination of geographical filtering and linear regression methods. For the linked networks, training dataset is acquired to provide for the development of the predictive models for drainage dynamics and nitrate losses. When the drainage network has learned the environment and the predictive models for individual farms, it is brought into a testing stage. In this stage, neighbor event information is firstly interpreted using developed neighbor linking lists and then, in case of a linked neighbor, used to predict drainage dynamics. These predicted values are transmitted by a drainage network to other farms and stream networks so that they can take a decision for the reuse, disposal, or conservation of the expected drainage.

#### **Acknowledgements**

I would like to express my gratitude to Dr. Nick Harris and Dr. Geoff Merrett (University of Southampton, United Kingdom), and also acknowledge Dr. Mark Rivers and Dr. Keith Smetten (University of Western Australia, Australia) for their support and valuable advice on this research work.
