Developing an Open-Source IoT Platform for Optimal Irrigation Scheduling and Decision-Making: Implementation at Olive Grove Parcels

Climate change has reduced the availability of good quality water for agriculture, while favoring proliferation harmful insects, especially in Mediterranean areas. Deploying IoT-based systems can help optimize water-use efficiency agriculture and address problems caused by extreme weather events. This work presents an monitoring system obtaining soil moisture, electrical conductivity, temperature meteorological data useful irrigation management pest control. The proposed was implemented evaluated olive parcels located both at coastal inland areas eastern part Crete; these face severe issues with saltwater intrusion (coastal region). includes moisture atmospheric sensors, aim providing information to farmers decision-making future implementation automated system, optimizing use resources. Data acquisition performed through smart sensors connected a microcontroller. were received portal made available on cloud, being monitored real-time open-source IoT platform. An e-mail alert sent when lower than threshold value specific type or climatic conditions favored development fruit fly. One main advantages is low-cost solution, as it based software hardware edge devices consists widespread economic modules. reliability been tested could be used support service tool offering efficient control service.