Abstract

This article presents a description of the design, development, and implementation of web-based software and dedicated hardware which allows for the remote monitoring and control of a drip irrigation system. The hardware consists of in-field stations which are strategically distributed in the field and equipped with different sensors and communication devices; a weather station and drip irrigation system complete the setup. The web-based software makes it possible to remotely access and process the information gathered by all the stations and the irrigation controller. The proposed system was implemented in a young olive orchard, located in the province of San Juan, an arid region of Argentina. The system was installed and evaluated during the seasons 2014–2015 and 2015–2016. Four regulated irrigation strategies were proposed in the olive orchard to test its behavior. In this pilot experiment, the precision irrigation system was a useful tool for precisely managing the irrigation process, applying only the required amount of water (precise irrigation). Regulated deficit irrigation experiments, on the other hand, have demonstrated the sensitivity of olives to water restriction. The precision irrigation system made it possible to control soil moisture levels, avoiding water stress in the control treatment.

Highlights

  • Over the last two decades, agriculture systems have benefited from the incorporation of technological advances developed for other industries, such as global positioning systems (GPS), communication systems, and imaging systems [1]

  • In the context of precision agriculture (PA), temporal and spatial soil factors and crop development are relevant topics that are widely documented in the literature [4,5,6]

  • This paper presents the development and implementation of a precision irrigation system

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Summary

Introduction

Over the last two decades, agriculture systems have benefited from the incorporation of technological advances developed for other industries, such as GPS, communication systems, and imaging systems [1]. Traditional agriculture was initially enhanced by the introduction of machines and the use of synthesized fertilizers [2]. Advances came from genetics and the automation of agricultural processes. The age of communications and information technologies (IT) has allowed for the integration of new devices, methods, and procedures to develop precision agriculture (PA) [3]. The use of sensors, intelligent actuators, onboard computers, communication systems, information processing, remote control and monitoring, and global positioning systems (GPS). Before the introduction of agricultural machines, production units used to be small, and producers were able to manually accomplish the different tasks

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