Enten Systems
www.enten.roENTEN SYSTEMS is an agritech company active in the field of data collection and analysis, offering farmers the essential tools needed to make informed decisions on how best to manage their crops in order to optimize costs and increase yields. Main data collection is based on highly performant and scalable weather stations - to increase the density of data and to improve the accuracy of recommendations to farmers, drone and satellite imagery is also integrated in the online platform. The web-based platform allows farmers access to useful functionalities (analysis tools, weather forecast, crop development stages, pathogens, treatments, agricultural works etc). The risk assessment for crop pests and diseases is based on models and algorithms subject to amelioration with machine learning and artificial intelligence techniques. Recommendations to farmers are issued by our team of agronomists after considering the interaction of models with reality in the field. Specialties: Weather stations; IoT; sensors; precision agriculture; data analysis; crop management; agronomic models and algorithms; machine learning; artificial intelligence; advisory; costs optimization; yield increases.
Read moreENTEN SYSTEMS is an agritech company active in the field of data collection and analysis, offering farmers the essential tools needed to make informed decisions on how best to manage their crops in order to optimize costs and increase yields. Main data collection is based on highly performant and scalable weather stations - to increase the density of data and to improve the accuracy of recommendations to farmers, drone and satellite imagery is also integrated in the online platform. The web-based platform allows farmers access to useful functionalities (analysis tools, weather forecast, crop development stages, pathogens, treatments, agricultural works etc). The risk assessment for crop pests and diseases is based on models and algorithms subject to amelioration with machine learning and artificial intelligence techniques. Recommendations to farmers are issued by our team of agronomists after considering the interaction of models with reality in the field. Specialties: Weather stations; IoT; sensors; precision agriculture; data analysis; crop management; agronomic models and algorithms; machine learning; artificial intelligence; advisory; costs optimization; yield increases.
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Co - Founder
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