Study Data from Lund University Provide New Insights into Machine Learning (Esti mation of district-level spring barley yield in southern Sweden using multi-sour ce satellite data and random forest approach)
Study Data from Lund University Provide New Insights into Machine Learning (Esti mation of district-level spring barley yield in southern Sweden using multi-sour ce satellite data and random forest approach)
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据新闻报道NewsRx Edi Tors在瑞典隆德发表的研究报告称，“遥感观测和人工近年来,智能算法已成为作物产量估算的关键组成部分过去几十年。然而，利用多源卫星数据和机器学习进行估计欧洲区域层面的作物总产量几乎没有得到探讨。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingout of Lund, Sweden, by NewsRx edi tors, research stated, “Remote sensing observations and artificialintelligence algorithms have emerged as key components for crop yield estimation at various s cales duringthe past decades. However, the utilization of multi-source satellit e data and machine learning for estimatingaggregated crop yield at the regional level in Europe has been only scarcely explored.”
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