{"id":"doi:10.1016/j.agrformet.2019.107886","kind":"article","title":"Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil","authors":["Raí Augusto Schwalbert","Telmo Jorge Carneiro Amado","Geomar Mateus Corassa","Luan Pierre Pott","P. V. Vara Prasad","Ignacio Antonio Ciampitti"],"author_count":6,"year":2020,"published":"2020-01-09","venue":"Agricultural and Forest Meteorology","cited_by":406,"doi":"10.1016/j.agrformet.2019.107886","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.agrformet.2019.107886","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.agrformet.2019.107886","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W3000098473","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Remote Sensing in Agriculture"],"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":[]}