Big Data and Agriculture

Smart agriculture with SMAG

Agriculture generates and uses a large number of data, including on weather, yields, crop operation dates, the type and quantity of inputs, product prices and exchange rates. By aggregating and making full use of this information on pooled platforms, tools could be rolled out to anticipate market trends, guide agricultural policies and help farmers make decisions.

SMAG designs and publishes agreo and atlandonline software for managing agri-data adapted to regulatory and environmental issues in crop growing, livestock breeding, wine-growing and agro-industry. By paving the way for the “agricultural cloud”, SMAG supports all the players in the agricultural sector both nationally and internationally, helping them to implement and integrate agricultural information systems with a view to optimising the technical and economic management and the traceability of their production. Key player in the construction of agricultural Big Data, SMAG participates in the emergence of the digital technology within farms and in the future within farmer's business.

By taking a majority stake in SMAG in 2014, the French leader in information systems for agriculture, InVivo is seeking to build a big agri-data business model.

Agriculture and big data : understanding

Agriculture and big data : understanding

be Api: expertise in precision farming

be Api: expertise in precision farming

Three new cooperatives have joined be Api: La Flandre, Terre d’Alliances and Dauphinoise, bringing the total number of affiliated cooperatives up to 36. 

 The average investment for a 150 hectares farm adopting precision farming lies between 12,000 and 20,000 euros. One of be Api’s ambitions is to provide cooperatives with support for their service and digital transformation activities and to act as a catalyst to enable them to find the right organisational structure to develop their service offering.

 

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