基于集合学习的作物产量估算：支持农业统计的可扩展方法

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-06-28 DOI:10.1080/15481603.2024.2367808

Patric Brandt, Florian Beyer, Peter Borrmann, Markus Möller, Heike Gerighausen

引用次数: 0

摘要

有关作物生产力的详细而准确的统计数据是为确保全球粮食安全的可持续粮食生产和供应决策提供信息的关键。然而，年度和高分辨率...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics

Detailed and accurate statistics on crop productivity are key to inform decision-making related to sustainable food production and supply ensuring global food security. However, annual and high-res...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.