deficit- irrigation is one of the measures for water saving and optimum application of water in surface irrigation. however, lack of enough evidences, doubts on the proper application of deficit- irrigation, dissemination of research results and its application by the farmers are of practical challenging issues. this paper summarizes and analyzes some research results on deficit- irrigation in ...

Automatic irrigation scheduling has been demonstrated using wired sensors and sensor network systems with subsurface drip and moving irrigation systems. However, there are limited studies that report on crop yield and water use efficiency resulting from the use of wireless networks to automatically schedule and control irrigations. In this 2011 study, a multinode wireless sensor network (WSN) s...

The agro-hydrological Soil–Water–Atmosphere–Plant (SWAP) model was calibrated and validated to simulate water–salt transport based on field experiments in an arid region of China. The simulation results show lower soil water content but higher salt concentration under deficit irrigation. Soil water and salinity below 95 cm at 80% evapotranspiration (ETc ) treatments and 65 cm at 60% ETc treatme...

This paper presents configuration of knowledge to solve irrigation scheduling problem in agriculture domain and a general approach for configuration management knowledge throughout the integration between operations research and expert systems approach. This work has established new configuration structure for an Irrigation Scheduling Configuration System suitable for CommonKADS Layers to produ...

Effective irrigation scheduling is a prerequisite to optimising the use of expensive irrigation water for sugarcane production in South Africa. Accurate irrigation scheduling is not widely practised in the sugar industry despite the many scheduling tools available to sugarcane growers. This leads to very low water use efficiencies (WUE) of approximately 50% of what could be achieved theoretical...

Remote sensing and crop growth models have enhanced our ability to understand soil water balance in irrigated agriculture. However, limited efforts have been made to adopt data assimilation methodologies in these linked models that use stochastic parameter estimation with genetic algorithm (GA) to improve irrigation scheduling. In this study, an innovative irrigation scheduling technique, based...

Potato grown for early or off-season production plays a crucial role in the economy of several areas in the Mediterranean countries. Irrigation is important for determining yield and earliness, thus a better investigation of plant response under various pedo-climatic conditions can help to improve resource use efficiency and farmer income. A two-year field research (2009-2010) was carried o...