Robotics & Machine Learning Daily News2024,Issue(Nov.21) :79-80.

Data on Machine Learning Described by Researchers at Indian Institute of Informa tion Technology Allahabad (Improved Crop Height Estimation of Green Gram and Whe at Using Sentinel-1 Sar Time Series and Machine Learning Algorithms)

印度研究所研究人员描述的机器学习数据信息技术Allahabad(提高作物高度)利用Sentinel-1 Sar时间估算绿图和Whe系列和机器学习算法

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :79-80.

Data on Machine Learning Described by Researchers at Indian Institute of Informa tion Technology Allahabad (Improved Crop Height Estimation of Green Gram and Whe at Using Sentinel-1 Sar Time Series and Machine Learning Algorithms)

印度研究所研究人员描述的机器学习数据信息技术Allahabad(提高作物高度)利用Sentinel-1 Sar时间估算绿图和Whe系列和机器学习算法

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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新闻-机器学习的新数据在一份新报告中呈现。根据新闻报道NEWSRX记者从印度的Prayagraj发回的研究表明:“作物高度是一个重要的在评估生产水平、提供必要信息方面起着关键作用的农艺指标关于作物健康。本研究证明了机器学习模型在估计中的应用利用(SAR)双极化哨兵-1合成孔径雷达测量绿豆和小麦作物高度数据集。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating from Prayagraj, India, by N ewsRx correspondents, research stated, “Crop height is an importantagronomic in dicator that plays a crucial role in assessing production levels, providing esse ntial informationabout the crop health. This study demonstrates the application of machine learning models for estimatingcrop height of green gram and wheat u sing dual-polarimetric Sentinel-1 Synthetic Aperture Radar (SAR)datasets.”

Key words

Prayagraj/India/Asia/Algorithms/Cybo rgs/Emerging Technologies/Machine Learning/Indian Institute of Information Te chnology Allahabad

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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