San Juan INSPIRE Hackathon 2019

The San Juan INSPIRE Hackathon 2019 was held from 19 to 22 November 2019 at the National University of San Juan (UNSJ) in Argentina. This event focused on leveraging sensors, climatic services, and Earth Observation (EO) data to support agriculture.

🎯 Objectives

• Utilise a combination of sensors, climatic services, and EO data to enhance agricultural practices.
  
• Encourage innovative solutions for climate-related decision-making in agriculture.
  
• Foster collaboration between European and Latin American institutions.
  

🧩 Participating Teams and Projects

1st Place – Agrohacks

• Project: Down To Earth
  
• Description: A tool designed to alert farmers about forecasted severe weather conditions, aiding in proactive agricultural decision-making.
  
  

2nd Place – Cammalot

• Project: Forecast Enhancement with Weather Station Data
  
• Description: Enhancing weather forecasts by integrating data from local weather stations to improve accuracy for agricultural planning.
  
  

3rd Place (Tie) – Equipo INAUT

• Project: Application for Reduction of Agrochemicals in Crops
  
• Description: Developing an application aimed at reducing the use of agrochemicals in crop production through precise application techniques.
  
  

3rd Place (Tie) – P.G.I.C.H

• Project: Water and Temperature Analysis for Wine Production
  
• Description: Analysing water and temperature data to optimise conditions for wine production.
  
  

4th Place – Remote Sensing UNSJ Argentina

• Project: Remote Sensing Data for Agriculture
  
• Description: Utilising remote sensing data to support various agricultural applications and decision-making processes.
  
  

🏢 Organisers and Supporters

• University of West Bohemia
• National University of San Juan (UNSJ)
  
• Lesprojekt
  
• WirelessInfo
  
• Plan4all
  

The hackathon was also supported by several EU projects, including:

• DataBio
  
• EUXDAT
  
• AgriClima
  
• NextGEOSS
  
• EO4Agri
  
• AFarCloud
  
• Stargate
  

🛠️ Tools and Data Provided

Participants were provided with:

• Climatic Data: ERA 5-Land data from the Copernicus Climate Data Store.
  
• Digital Elevation Model: Data from SRTM and ALOS Global Digital Surface Model (AW3D30).
  
• Sensor Data: Measurements of soil water potential, soil temperature, air temperature, and humidity from 2016 to 2017.
  
• EUXDAT Platform: An online platform allowing Python coding and access to the provided datasets.
  
  

🏆 Awards

• 1st Prize: USD 200
• 2nd Prize: USD 100
• 3rd Prize: USD 50