Smart scheduling on cloud for IoT-based sprinkler irrigation

Abstract

PurposeThe purpose of this paper aims to reduce the manpower, electricity, and water consumption for irrigation.Design/methodology/approachThe IoT-based smart irrigation system designed with various sensors to collect farm field data, and stored all the data in the cloud for scheduling the irrigation.FindingsThis system reduces the water and electricity consumption, and labor cost.Research limitations/implicationsDifficult to implement on a small farm field with different crops.Practical implicationsCrop type, soil type and environment data should be considered for better saving of water.Social implicationsReduces the water consumption, electricity, man power and increase production.Originality/valueThe soil type, crop type and environment data have been added before irrigation. The climate data also included before scheduling. Dynamic changing of irrigation timings based on the climate and sensor data.