Kaj je bil obravnavani izziv/problem?
Maturity and health monitoring of the crop by automated and non destructive means, and estimation of optimal harvesting date and final production. Different actors participated, providing different technologies, agronomical knowledge and parcels to perform the experiments and validate the system
Kako ste rešili problem?
We used IOT systems on the field, hyperspectral pictures of soil and plants, thermal images taken from drones and Business Intelligence and AI tools to generate useful information from all those data
Kaj je v vašem praktičnem primeru inovativno?
The use of hyperspectral images to measure quality parameters and the generation of alarms and recommendations about fertirrigation and harvesting based on data from many different sources
Kateri so dejavniki uspeha pri reševanju problema?
The collaboration of all partners with their specific expertise was key
Naučena lekcija
Detection of quality parameters of tomatoes and soil composition from hyperspectral pictures taken on the field. Algorithms to predict final production and define optimal harvesting date using pictures taken on the field.
Kakšno vlogo ima svetovalec ali svetovalna služba pri praktičnem primeru?
Innovation broker
Ali je mogoče vaš pristop prenesti in/ali prilagoditi drugim inovacijskim izzivom in regijam?
da
kar je povzročilo napetosti z raziskavo 1 kar je povzročilo napetosti z raziskavo 5
(kar je povzročilo napetosti z raziskavo 1 kar je povzročilo napetosti z raziskavo 5 kar je povzročilo napetosti z raziskavo)
3
Za izmenjavo izkušenj o dobri praksi, prosim kontaktirajte
Jesús Gil
jgilsoto@ctaex.com
Povezava do zunanjih informacij
https://www.youtube.com/channel/UCFiyU3cOyuX4A2SGFvOP0xw