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. ------------------------------------------------------------------------------------------------------------------------------------------- Here, we have uploaded IoT environmental data from most of the project's pilots. The IoT environmental sensor measure features such as air temperature, air humidity, air pressure, solar radiation, soil moisture, soil temperature, dew point, precipitation, water pressure, vapor pressure deficit, soil water tension. Specifically, the installed IoT sensors for each pilot are the following: Pilot 1 - Crop: Wheat, Corn, Rye, Oats: rain (precipitation) solar radiation level wind direction wind speed air humidity air temperature Pilot 2 - Crop: Onions: rain (precipitation) soil moisture (10cm/20cm/30cm/40cm/50cm/60cm depth) soil temperature (15cm/45cm depth) air humidity air temperature Pilot 3 - Crop: Wheat & Hard wheat: barometric pressure solar radiation level wind direction wind speed water content soil temperature air humidity air temperature rain (precipitation) Pilot 4 - Crop: Clovers & Corn: barometric pressure solar radiation level wind direction wind speed rain (precipitation) Pilot 5 - Crop: Vegetables & Arable: soil moisture soil temperature soil water tension vapor pressure deficit air humidity air temperature Pilot 6 - Crop: Tomato & Cucumber: air humidity air temperature water content photosynthetic active radiation solar radiation level soil temperature Pilot 8 - Crop: Leek: organic carbon ph Pilot 13 - Crop: Vineyards: barometric pressure air humidity solar radiation level Pilot 14 - Crop: Vineyards: air humidity air temperature wind speed wind direction solar radiation level water content rain (precipitation) leaf wetness Pilot 15 - Crop: Vineyards: air humidity air temperature rainfall (precipitation) leaf humidity (leaf wetness) wind speed wind direction soil humidity (20cm depth) soil temperature (20cm depth) soil water potential (40cm depth) Pilot 16 - Crop: Olive Grove: wind direction wind speed solar radiation rain (precipitation) air humidity air temperature soil temperature water content Pilot 17 - Crop: Olive Grove: air humidity air temperature wind direction wind speed rain (precipitation) solar radiation level soil temperature water content Pilot 18 - Crop: Bio Cereals: air humidity air temperature air pressure rain (precipitation)