Assessment of a Smartphone Application for Real-Time Irrigation Scheduling in Mediterranean Environments

Marie Abi Saab,Ihab Jomaa,Sleiman Skaf,Mladen Todorovic,Salim Fahed

doi:10.3390/w11020252

Abstract

The suitability of cloud-based irrigation technologies remains questionable due to limited information on their evaluation in the field. This study focussed on the on-field assessment of a smartphone irrigation scheduling tool—Bluleaf®—with respect to traditional water application practices. Bluleaf® uses weather, crop, soil, and irrigation system data to support a farmer’s decision on the timing and amounts of irrigation. The smartphone application was tested in Bekaa Valley, Lebanon, on durum wheat, a strategic Mediterranean crop, during the 2017 and 2018 growing seasons. The simulation results on soil water balance were in “acceptable to very good” agreement with the measured soil moisture values, with a root mean square error (RMSE) between 15.1 and 26.6 mm and a modelling efficiency (NSE) that ranged from 0.77 to 0.92. The appropriateness of the adopted smartphone irrigation scheduling was confirmed also by leaf water potential measurements and the Crop Water Stress Index (CWSI). A water saving of more than 1000 m3/ha (25.7%) was observed with Bluleaf® with respect to traditional irrigation scheduling. Therefore, new technologies could bring about substantial benefits to farmers and support water saving efforts in the Mediterranean region.

Highlights

Sustainable irrigation management requires reliable and easy-to-use methods and tools to support real-time scheduling with respect to the availability of water, specific soil and weather conditions, a crop’s water requirements, and a crop’s response to stress
The high temperatures accelerated crop development and reduced biomass and yield in the yield water productivity (Y-WP) that was expressed on the basis of grain yield, the results revealed that, 2017–2018
Concerning the Y-WP that was expressed on the basis of grain yield, the results revealed that, not significant, I-Bluleaf had a 13.5% higher Y-WP than I-farm

Summary

Introduction

Sustainable irrigation management requires reliable and easy-to-use methods and tools to support real-time scheduling with respect to the availability of water, specific soil and weather conditions, a crop’s water requirements, and a crop’s response to stress. Studies, conducted in recent years in various parts of the world, have shown that the use of innovative technologies, management approaches, and modelling tools can improve irrigation scheduling, save water, enhance a farmer’s income, and reduce the environmental burden [1,2,3,4,5,6,7,8]. In this context, real-time automatized irrigation scheduling, based on reliable low-cost sensors and simple water balance models, is receiving a growing amount of attention [9]. Modeling barley wateruse and evapotranspiration partitioning in two contrasting rainfall years

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Conclusion