Summary
ENVISION aims to fulfil the need for continuous and systematic monitoring of agricultural land, shifting the focus from fragmented monitoring limited to specific fields and dates to territory-wide and all-year-round monitoring.
It will make use of heterogeneous types of available data (EO-based, in situ, open data, and historical on-field check data) and state-of-the-art technologies and methodologies (automatic pixel/texture/object oriented change detection and classification methods, machine learning, data fusion, multi-source and multi-temporal data management) for providing a fully-automated and scalable toolbox of services, built in close interaction with its future customers. ENVISION will fully exploit the wealth of data made available through GEOSS and Copernicus and its synergetic use with other data to develop data products such as: Cultivated crop type maps; Soil Organic Carbon; Vegetation status; Crop growth (distinction of organic – conventional farming); Grassland mowing/ploughing; Soil erosion.
The ENVISION toolbox will be comprised of: a monitoring service of sustainable agricultural practices, tools that PAs & CBs can provide to farmers for adhering to environmentally friendly agricultural practices, an Add-on Development Tool.
The project will be tested and validated in a pre-operational environment by potential future customers of its products and services. ENVISION will have three categories of business cases (Monitoring of: multiple environmental and climate requirements of CAP, soil condition, organic farming requirements) and will also be tested by a group of Lighthouse Customers.
A market analysis, business model experimentation techniques and appropriate decision-making tools will determine the commercially viable business models for the services and products of ENVISION, and define alternative business models, understand their implications and identify those that will create the greatest value.
It will make use of heterogeneous types of available data (EO-based, in situ, open data, and historical on-field check data) and state-of-the-art technologies and methodologies (automatic pixel/texture/object oriented change detection and classification methods, machine learning, data fusion, multi-source and multi-temporal data management) for providing a fully-automated and scalable toolbox of services, built in close interaction with its future customers. ENVISION will fully exploit the wealth of data made available through GEOSS and Copernicus and its synergetic use with other data to develop data products such as: Cultivated crop type maps; Soil Organic Carbon; Vegetation status; Crop growth (distinction of organic – conventional farming); Grassland mowing/ploughing; Soil erosion.
The ENVISION toolbox will be comprised of: a monitoring service of sustainable agricultural practices, tools that PAs & CBs can provide to farmers for adhering to environmentally friendly agricultural practices, an Add-on Development Tool.
The project will be tested and validated in a pre-operational environment by potential future customers of its products and services. ENVISION will have three categories of business cases (Monitoring of: multiple environmental and climate requirements of CAP, soil condition, organic farming requirements) and will also be tested by a group of Lighthouse Customers.
A market analysis, business model experimentation techniques and appropriate decision-making tools will determine the commercially viable business models for the services and products of ENVISION, and define alternative business models, understand their implications and identify those that will create the greatest value.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/869366 |
Start date: | 01-09-2020 |
End date: | 30-11-2023 |
Total budget - Public funding: | 3 162 606,00 Euro - 2 735 856,00 Euro |
Cordis data
Original description
ENVISION aims to fulfil the need for continuous and systematic monitoring of agricultural land, shifting the focus from fragmented monitoring limited to specific fields and dates to territory-wide and all-year-round monitoring.It will make use of heterogeneous types of available data (EO-based, in situ, open data, and historical on-field check data) and state-of-the-art technologies and methodologies (automatic pixel/texture/object oriented change detection and classification methods, machine learning, data fusion, multi-source and multi-temporal data management) for providing a fully-automated and scalable toolbox of services, built in close interaction with its future customers. ENVISION will fully exploit the wealth of data made available through GEOSS and Copernicus and its synergetic use with other data to develop data products such as: Cultivated crop type maps; Soil Organic Carbon; Vegetation status; Crop growth (distinction of organic – conventional farming); Grassland mowing/ploughing; Soil erosion.
The ENVISION toolbox will be comprised of: a monitoring service of sustainable agricultural practices, tools that PAs & CBs can provide to farmers for adhering to environmentally friendly agricultural practices, an Add-on Development Tool.
The project will be tested and validated in a pre-operational environment by potential future customers of its products and services. ENVISION will have three categories of business cases (Monitoring of: multiple environmental and climate requirements of CAP, soil condition, organic farming requirements) and will also be tested by a group of Lighthouse Customers.
A market analysis, business model experimentation techniques and appropriate decision-making tools will determine the commercially viable business models for the services and products of ENVISION, and define alternative business models, understand their implications and identify those that will create the greatest value.
Status
CLOSEDCall topic
SC5-16-2019Update Date
27-10-2022
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H2020-EU.3.5. SOCIETAL CHALLENGES - Climate action, Environment, Resource Efficiency and Raw Materials
H2020-EU.3.5.5. Developing comprehensive and sustained global environmental observation and information systems