on 16 Dec 2019 12:00 AM

Solar-vibes is one of the 6 (six) companies that participated in the AGINFRAplus Data Science Challenge ( It is a company based in Berlin, Germany that has just started its business activity.

Solarvibes enables farmers with instant, real-time soil and crop health diagnostics with a very advanced IoT based sensor system. Solarvibes uses the power of highly accurate data and processes it with various data models to diagnose the health issues of the soil before, during and after the cultivation phase in an attempt to tackle the issues of crop failures, low crop productivity and improve crop diversity while preserving the soil fertility and natural resources. 

Their data science innovation consists of various AI models, IoT communication and data security protocols. The data sources are the following:

  1. Agrisensor- Solar Irradiance, Ambient temperature, humidity, soil temperature & moisture, Soil organic carbon, pH, electrical conductivity and macro nutrients such as Nitrogen, potassium and phosphorus;
  2. Image based analytics;
  3. They have a dynamic database of scientifically proven best farming practices and support farmers with choosing best crops for each season and are constantly enhancing the database.

The aim is to create a large community of small farmers to manage the local and global food demand, for all major crops and provide soil crop compatibility to farmers. The crop intelligence built by Solar-vibes will be the first of its kind knowledge enriched unbiased AI platform at the most affordable price.

Moreover, they are using reliable and robust cloud services to store user data and customer data securely.

You can visit Solar-vibes website here

As was the case with all six companies that participated in the competition, it was decided Solar-vibes to receive the AGINFRAplus Farmer Lookout distinction.

This means that this company will be announced as one of the AGINFRAplus Lookouts and will be promoted through AGINFRAplus extensive international network. A digital badge will also be provided to Solar-vibes, which they may use to list this distinction at their web site, pitch deck or other promotional material



The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.


This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.



This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.



This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.


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