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AgriDataValue aims to establish itself as the “Game Changer” in Smart Farming digital transformation and agri-environmental monitoring, and strengthen the smart-farming capacities, competitiveness and fair income by introducing an innovative, open source, intelligent and multi-technology, fully distributed Agri-Environment Data Space (ADS). To achieve technological maturity, fast and massive acceptance, AgriDataValue adopts and adapts a multidimensional approach that combines state of the art big data and data-spaces’ technologies (BDVA/ IDSA/ GAIA-X) with agricultural knowledge, monetization, new business models and agri-environment policies, leverages on existing platforms, edge computing and network/ services, and introduces novel concepts, methods, tools, pilot facilities and engagement campaigns to go beyond today’s state of the art, perform breakthrough research and create sustainable innovation in upscaling (real-time) agricultural sensor data, already evident within the project lifetime. --------------------------------------------------------------------------------------------------------------------------------------------- This dataset contains tabular data for the purpose of a greenhouse window opening percentage prediction. The file "Greenhouse_Climate_Window_data.xlsx" contains three environmental features outside the greenhouse which are: outside temperature outside relative humidity solar radiation intensity and also the opening percentage of each of the greenhouse windows. These two features ("Side 1 window opening", "Side 2 window opening") can be used as target values for a tabular data regression or a time-series regression task. The file "Greenhouse_IoT_environmental_data.csv" contains IoT sensor measurements of several environmental features inside the greenhouse such as: air humidity air temperature soil temperature water content solar radiation level