Evja

IoT‑ and AI‑based decision-support system for irrigation and agro-climate data

Description

Evja is a decision support system (DSS) designed to support growers through real-time monitoring, data analytics, and predictive agronomic models. The system is widely used across horticultural and high‑value crops—including greenhouse vegetables, berries, flowers, and orchard crops—where microclimate variability strongly influences irrigation and disease‑risk decisions. The solution combines wireless field sensors with cloud-based AI/ML analytics to deliver actionable insights on irrigation, nutrition, crop protection, disease risk, growth, and yield prediction.

Technology

  • Internet of things (IoT)
  • Cloud
  • Desktop/web-based application
  • Mobile app
  • Big data
  • Artificial intelligence (AI)
  • Sensor

Evja’s system relies on custom wireless sensor nodes measuring micro-climate, soil moisture and status, leaf wetness, radiation, environmental parameters, which transmit real-time data to a cloud backend. Evja’s platform is organized into functional modules—including irrigation optimization, microclimate monitoring, fertigation guidance, disease‑risk forecasting, and sustainability performance insights—allowing users to activate only the tools most relevant to their production systems.

Target

  • Smallholder farmers
  • Medium size farms
  • Private sector
  • Large size farms

Evja targets growers and farms of various scales as well as agronomists and farm advisors seeking to apply precision-farming practices.

Business model

  • Subscription
  • Fee for service

Evja operates via a service-oriented business model. The solution sells hardware to users and provides them access to the decision-support software offered under a subscription or service-fee model. In addition to the digital platform, Evja offers continuous technical support and tailored training sessions to help growers integrate sensor data, interpret dashboards, and adopt precision‑farming practices effectively.

Impact

Since commercial launch in 2018, Evja claims to have monitored hundreds of hectares across multiple countries; its systems have helped growers optimize irrigation, reduce chemical and water use, improve crop protection timing, and increase yield consistency and quality under a precision-farming regime

Partners

Wageningen University & Research; University of Naples Federico II; University of Pisa; University of Almeria Libelium, BayWa, RWA; Startup Bootcamp Foodtech; VIDA; Spectrum Technologies, Inc.; Amazon web services; Start Life; Libelium; Agro Innovation Lab; BayWa

Four Betters

  • Better production
  • Better environment

Sustainable Development Goals

  • SDG 2: Zero hunger
  • SDG 6: Clean water and sanitation
  • SDG 12: Responsible consumption and production
  • SDG 13: Climate action
  • SDG 15: Life on land
  • SDG 17: Partnerships for the goals
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