An intelligent agricultural data mining system for water conservation through drip irrigation and wireless sensor networks

Abstract

Agricultural data analysis is an important challenge for the data mining community present not only in India but also in the world. This is done to the fact that majority of the cultivation lands in the globe suffer highly from shortage of irrigation water. In such a scenario, drip irrigation techniques have been developed by researchers to reduce the water consumption in dry areas. However, due to the lack of guidelines and systematic techniques to utilize the water and electricity in optimistic manner, newlinethe agricultural sector faces water problem in many places. Therefore, the overheads of farmers using the conventional drip irrigation have become high and they have to manually visit and monitor the lands frequently. Agricultural data mining provides techniques for transporting water crops optimally in order to maximize the amount of crops produced. Agricultural data can be collected more efficiently by the use of sensors for data collection and also for effective analysis. Moreover, Wireless sensor networks are used in many applications like agricultural activities, natural disaster management systems, military applications, forest fire detection systems, deep ocean navigations, industrial automations, health care systems for elder people, smart home newlineautomation applications, etc. A smart irrigation system can be built with smart sensor networks for collecting field values and can be analyzed using rules for effectively watering the plants. Hence, a new sensor network assisted irrigation system and rule based analysis model have been developed in this research work to enhance the efficiency of water usage. The main objective of the proposed system is to conserve the water in dry areas by using drip irrigation system with the help of intelligent wireless sensor networks. newline newline