Robotics & Machine Learning Daily News2024,Issue(Nov.14) :37-38.

Studies from Sao Paulo State University (UNESP) Provide New Data on Machine Lear ning (Dry mass grassland estimation using UAV ultra-wide RGB images)

圣保罗州立大学(UNESP)的研究提供了机器清理(使用UAV超宽RGB图像估算干草地)的新数据

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :37-38.

Studies from Sao Paulo State University (UNESP) Provide New Data on Machine Lear ning (Dry mass grassland estimation using UAV ultra-wide RGB images)

圣保罗州立大学(UNESP)的研究提供了机器清理(使用UAV超宽RGB图像估算干草地)的新数据

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摘要

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-关于人工智能的详细数据已经呈现。据新闻报道NewsRx记者从巴西圣保罗发回的研究表明,“干物质是一个重要的物质来源。”优化草地管理的参数。传统上,干质量值通常是通过切割、干燥和称重植被样品。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Sao Paulo, Brazil, by NewsRx correspondents, research stated, “Dry mass is an importantparameter to optimise grassland management. Traditionally, dry mass values are estimated manu ally bycutting, drying, and weighing vegetation samples.”

Key words

Sao Paulo State University (UNESP)/Sao Paulo/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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