CleanGrain

💎 Idea

The problem we are addressing is the inefficient and ineffective use of agricultural land. Current monocultural farming damages the soil, releases huge amounts of greenhouse emissions. 

Food production could be greatly increased if soil and weather conditions were analyzed. As soil analysis is time-consuming and difficult to carry out manually in every field, we would use satellite and aerial images to obtain soil data and use an intelligent system to suggest the crops that would thrive best in a given area, based on highly accurate measurements. The idea is to obtain data on the potassium, phosphorus, and nitrogen content of the soil to calculate the pH value of the soil, and to obtain data on the soil's moisture and salinity. Using this data and weather data, we would build a model using machine learning that would predict which crops are best to plant and what’s the crop yield. Furthermore, we will also be able to track Carbon dioxide emissions for the plants. 

🛰️ EU space technologies

For training our prediction models we used the satellite Sentinel-2. We can gain access to satellite data through Sentinel Hub API. This API provides signals and high-resolution images for specific areas in Europe. For that area, we can extract data about minerals in the soil, vegetation, and co2 in that area. 

Then we combine and process data from Sentinel hub, weather data and historic data about soil in a specific area in Europe. After that, we feed that data to our pre-trained machine learning models, which give us predictions about which crops are best to plant, crop yield and pairing, and CO2 emissions. 

🏦 Space for the Financial World

Our solution addresses the first challenge - Enabling green and sustainable investments. 

It will allow our clients to invest in sustainable and regenerative agriculture by using our intelligent systems. In Europe, one of the top causes of greenhouse gas emissions is intensive agriculture. We will use satellite data to track and monitor greenhouse emissions and thereby reducing our carbon footprint and changing the way farming is being done in Europe. 

🤼 Team

Meet our team members who are specialized in the field of program development, data science, and business intelligence.  

Our team leader is Anže Galun, who is responsible for managing overall operations, including communicating with the board along and overseeing the team. His strengths include great communication skills, great leadership acumen, and an unrivaled passion for the organization and its people.  

The most crucial duo in the development team are Filip Zdjelar and Filip Kren. They are responsible for the backend and frontend part of the SaaS product. Zdjelar’s strengths are centralized in building and architecting microservices, while Kren’s advantages consist of solving and speedy usage of modern frameworks.  

Our main data scientist is Blaž Vidovič, who specializes in analyzing satellite data to provide machine learning models for determining and maximizing crop pairs with its soil.  

Bard Grujič is the specialist, who is responsible for business intelligence. His primary goal is to break down key business data, interpret it and share the findings.  

🧑‍💼 BUSINESS MODEL