SIAM - Sensor Integration for Agriculture Management

Project information
Challenges facing the agricultural sector, such as climate change, shrinking land and water resources and land degradation, are a major threat to food security. Key in facing these challenges is better management of the existing land and water resources. Accurate and detailed data on crop and water conditions is essential to make this possible. Farmers need reliable data for efficient resource management, monitoring crop developments and understanding market conditions for planting decisions. Existing data solutions do not meet their needs. In developed countries, Smart Farming requires better information than currently available. In many less developed countries even the most basic information is not available, leading to poor agricultural practices and low productivity. eLEAF aims to deliver data that does meet farmer’s needs through its Sensor Integration for Agricultural Management (SIAM) innovation. It is a complete redesign of the way this data is generated, applying a ‘big data’ approach to information collection and processing. The core data stream for SIAM is satellite based optical earth observation data. SIAM will enable information driven innovation, supporting highly needed productivity increases and improvements in resource use efficiency. This will enhance the resilience of Europe’s agricultural sector against climate change and improve its competitiveness on the global market. Ultimately, it is eLEAF’s ambition to increase food security by support agricultural development worldwide. This feasibility study is the first step towards commercialization of SIAM. It covers the technical, commercial and financial viability, resulting in an elaborate business & financial plan.
Project results: 
SME-1 - SME instrument phase 1
Project partners: 
WATERWATCH BV, Netherlands
Project dates: 
May 2016 to October 2016
Contact project
Contact organisation: 
WATERWATCH BV, Netherlands
Funding agency: 
Horizon 2020 - SME Instrument
Total budget: