[Free tutorial] How to read the number of crops and Ai automatic identification of crop types based on drone agricultural remote sensing images

UAV remote sensing

UAVs use sensors to collect electromagnetic wave information of targets, and after processing and analyzing them, identify targets, reveal their geometric, physical properties, interrelationships, and changes in modern science and technology [1]. In other words, it is "remote perception", which is divided according to the sensor platform, including aerospace remote sensing, aerial remote sensing, and ground remote sensing. , The fields of use include natural disasters, such as national and local disaster monitoring, early warning, assessment, emergency rescue command system, civilian fields, etc.

1. Count the number of plants

Theory and Method

load impact

Band Index Calculation

threshold segmentation

Post-processing

Plant statistics, query and mapping

2. Let AI recognize crops

Theory and Method

Dataset description

upload data

Image annotation

model training

check model

Identify unknown crops

Keynote speaker

Dr. Zhang, a front-line scientific researcher from key universities and scientific research institutes, has been engaged in machine learning, remote sensing technology and application research for a long time, presided over a number of national scientific research projects, compiled 3 books, and published more than 20 scientific papers as the first author. He has a deep understanding of the multi-platform and multi-sensor application status of remote sensing technology at home and abroad, as well as the core technologies involved. He is proficient in analysis tools such as ENVI, R language, Mathlab and Unscrambler. Extraction experience of sand and yellow matter.

course duration

1 hour 43 minutes

Summarize

以上就是我跟大家分享的免费的视频教程,阅读全文点击:https://mp.weixin.qq.com/s?__biz=MzU0NzcyOTk0Mg==&mid=2247550860&idx=2&sn=a6570dee0e9e4068329505cae838b979&chksm=fb4ba0f5cc3c29e382042f82612029722d5b8641bbfd1e81d4c0634817f136f644a6f81877d2&token=498900364&lang=zh_CN#rd

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Origin blog.csdn.net/zmjia111/article/details/129754748