{"id":"doi:10.1007/s11119-017-9527-4","kind":"article","title":"Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge","authors":["Anat Goldstein","Lior Fink","Amit Meitin","Shiran Bohadana","Oscar Lutenberg","Gilad Ravid"],"author_count":6,"year":2017,"published":"2017-05-31","venue":"Precision Agriculture","cited_by":223,"doi":"10.1007/s11119-017-9527-4","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1007/s11119-017-9527-4","archive_url":"https://space-kitty.com/papers/doi:10.1007/s11119-017-9527-4","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2617732000","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Smart Agriculture and AI"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}