Using a standard RGB camera and AI to obtain vegetation data

• 全文链接

使用标准RGB相机和AI获取植被数据

关键词：

来源：

EurekAlert

全文链接：

//agri.nais.net.cn/topic/downloadFile/f74c8ff6-2f69-49c2-9dca-b422cd6c5ad4

来源地址：

https://www.eurekalert.org/news-releases/982446

资源所属：

农业与资源环境信息工程专题

类型：

前沿资讯

语种：

英语

原文发布日期：

2023-03-10

摘要：

Aerial imagery is a valuable component of precision agriculture, providing farmers with important information about crop health and yield. Images are typically obtained with an expensive multispectral camera attached to a drone. But a new study from the University of Illinois and Mississippi State University (MSU) shows that pictures from a standard red-green-blue (RGB) camera combined with AI deep learning can provide equivalent crop prediction tools for a fraction of the cost.  Multispectral cameras provide color maps that represent vegetation to help farmers monitor plant health and spot problem areas. Vegetation indices such as the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Red Edge Index (NDRE) display healthy areas as green, while problem areas show up as red.