CornHub

💎 Idea:

Our idea centers on leveraging European space technologies to enhance crop selection prediction for agriculture. The core challenge we seek to address is the demand for precise and timely insights into agricultural productivity and trends. By utilizing satellite data, we intend to develop a robust model that empowers farmers to make informed decisions about which crops to plant. This data-driven approach provides valuable predictions based on factors like moisture levels, vegetation health, and other environmental parameters.

🛰️ EU Space Technologies:

We utilize a wide range of data sources from Sentinel 2 and 3, including the Terrestrial Chlorophyll Index (OTCI), False color composite, Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Short wave infrared composite (SWIR), and Normalized Difference Snow Index (NDSI). Galileo is used for determining our location (automatic or manual). These sources provide access to a comprehensive set of environmental parameters, enabling us to gain valuable insights into agriculture and crop selection. This data is invaluable for its capacity to offer accurate, timely, and comprehensive information on agricultural conditions and environmental parameters. Our project's value lies in empowering farmers to choose specific crops based on data-driven predictions, ultimately enhancing farm productivity and food security. By integrating data from these sources, we can gain insights into factors that influence agriculture and crop selection.

Our project's value lies in empowering farmers to choose specific crops based on data-driven predictions. By leveraging space technologies, we aim to offer actionable insights that support more efficient and sustainable crop selection, ultimately enhancing agricultural productivity and food security.

⛑️ Space for International Development & Humanitarian Aid - Challenge #2:

Our initiative directly addresses Challenge #2 - Strengthening food security. We contribute to solving the problems faced in international development and humanitarian aid by utilizing space technologies to address key agricultural challenges.

Specifically, we aim to:

Enable Anticipatory Action: By using satellite data, we provide early insights into environmental factors affecting agriculture. This information can help farmers anticipate challenges and make proactive decisions, contributing to more resilient and sustainable farming practices.

Enhance Crop Selection: Our project's predictive model assists farmers in making informed choices about which crops to plant based on factor predictions. This supports more efficient land use, sustainable agriculture, and improved food security.

Our project aligns with the overarching goal of strengthening food security and promoting sustainable agriculture, ultimately contributing to international development and humanitarian aid efforts in a meaningful and impactful way.

🤼 Team

Iva Valenčić - Passionate Market Communications Design student at Algebra University, specializing in the captivating realm of UX/UI design. Infused with a profound passion for environmental consciousness, I have long been enamored with the concept of zero waste and the art of problem-solving. Embracing this opportunity with open arms, I am fervently dedicated to contributing my skills and creativity toward shaping a brighter, sustainable future for our world.

Laura Ljubić is a design enthusiast and champion at Algebra University College, winning hearts and two design competitions along the way.  Passionate about using creativity to make the world a better place. Ready to design for change and help save the world, one pixel at a time!

Marina Markota is  PFZG student with a passion for nature observation and foraging. Having over 2 decades of experience in agriculture has given me a unique perspective on environmental issues. 

Maria Mesarić - a 29-year-old professional with a background in economics. Last year, I made the leap into the IT field, where I've developed extensive expertise in both back-end and front-end development.

Teo Kandučar - A dynamic 29-year-old student sculpting a versatile path bridging the realms of software engineering at Algebra University College and law at Faculty of Law. With a rich tapestry of experiences in FinTech I have honed my financial acumen at the Summer Tax Academy at Faculty of Economics. I thrive on the intersection of technology and finance, driven by a relentless pursuit of knowledge at the crossroads of innovation and legality.