In agriculture, soil and meteorological sensors are used along low power networks to capture data, which allows for optimal resource usage and minimizing environmental impact. This study uses time series analysis methods for outliers' detection and pattern recognition on soil moisture sensor data to identify irrigation and consumption patterns and to improve a soil moisture prediction and irrig...

abstract the objective of the present study is to assess the performance of 18 irrigation districts from ten countries in the world using the benchmarking method and data mining analysis (cluster analysis). irrigation networks of dez, sefidrood, tajan and voshmgir from iran have been compared with 14 irrigation districts from nine other countries. the k- means algorithm was used to analyze the ...

The Water Administration System (WAS) is designed to be a management tool for irrigation schemes and water control offices that want to manage their water accounts and supply water to clients through canal networks, pipelines and rivers. The ultimate aim of WAS is to optimise irrigation water management and minimise management-related distribution losses in irrigation canals. This research proj...

Wireless underground sensor networks (WUSN) has wide applications in environmental information monitoring. It plays a vital role in the handling and management of water resources for irrigation. Because it prevents radio interference, improves real-time acquisition of information and reduces energy consumptions. In this work, WUSN was used to collect soil temperature and moisture information of...

The goal of this work was to develop an easy-to-use and engaging irrigation scheduling tool for cotton which operates on a smartphone platform. The model which drives the Cotton SmartIrrigation App (Cotton App) is an interactive ET-based soil water balance model. The Cotton App uses meteorological data from weather station networks, soil parameters, crop phenology, crop coefficients, and irriga...