BIOMAP2SOIL SIGNED

Project "BIOMAP2SOIL" data sheet

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 Partnership

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 Project objective

The growth of precision agriculture is hampered by the variability of soils. Parameters such as soil texture, water content, pH or biological properties are fundamental for determining the need and use of irrigation, seeds, fertilizers or pesticides. However, current sampling and analysis techniques to characterize soils are inefficient and expensive, as they require a large number of samples. BIOMAP2SOIL is a new cost-effective sampling and analysis method, based on our deep farming knowledge and statistical models, which will generate accurate soil maps of relevant parameters, including biological properties. BIOMAP2SOIL provides recommendations for an integrated crop management related to crop selection, irrigation, pest and diseases control, variable seeding and fertilizing, while minimizing the number and cost of sampling and analysis. FARMERS will improve operations, profitability and sustainability of their crops. BIOMAP2SOIL’s recommendations for optimizing crop management will lead to impacts on yield (up to 10%), water and energy consumption (up to -12%), crop diseases (up to -20%), seeds consumption (up to -5%), fertilizers consumption (up to -10%) and pollution (up to -10%), according to our actual experiences. Economic benefits for farmers are estimated in preliminary studies for 6 crops in the range of €132 – €642 per Ha for an average service cost of €90 per Ha. BIOMAP2SOIL is currently at TRL6, and to reach a TRL9 we need to validate initial correlations achieved between soil enzymes, apparent electrical conductivity and other relevant parameters; but also refine data analytics, software design and the strategy to scale-up the model, based on deep statistics and big data analytics, as well as a network of Strategic Partners, overtaking our fragmented competition. BIOMAP2SOIL is a solution mainly addressed to farmers with irrigation crops, organic farming, high technical infrastructure and vulnerable areas of nitrate pollution.