<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dr. Xiaokai Chen | Precision Agriculture Lab</title><link>https://paglab.org/author/dr.-xiaokai-chen/</link><atom:link href="https://paglab.org/author/dr.-xiaokai-chen/index.xml" rel="self" type="application/rss+xml"/><description>Dr. Xiaokai Chen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://paglab.org/author/dr.-xiaokai-chen/avatar_hu_caa6a1247d8a3e6b.jpg</url><title>Dr. Xiaokai Chen</title><link>https://paglab.org/author/dr.-xiaokai-chen/</link></image><item><title>A UAV-Proxied Satellite Remote Sensing Approach for Winter Wheat Plant Nitrogen Concentration Mapping</title><link>https://paglab.org/publication/chen-2025-jstars-uavproxied/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://paglab.org/publication/chen-2025-jstars-uavproxied/</guid><description>&lt;p>Xiaokai Chen, Fenling Li, Qingrui Chang, Yuxin Miao, Chao Wang, Weilong Qin, &amp;amp; Kang Yu (2025). A UAV-Proxied Satellite Remote Sensing Approach for Winter Wheat Plant Nitrogen Concentration Mapping. &lt;em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing&lt;/em>: 1&amp;ndash;12.&lt;/p></description></item><item><title>Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information with machine learning</title><link>https://paglab.org/publication/chen-2025-cea-improving/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://paglab.org/publication/chen-2025-cea-improving/</guid><description>&lt;p>Xiaokai Chen, Fenling Li, Qingrui Chang, Yuxin Miao, &amp;amp; Kang Yu (2025). Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information with machine learning. &lt;em>Computers and Electronics in Agriculture&lt;/em>, 232: 110072.&lt;/p></description></item><item><title>Potential of Multi-Source Multispectral vs. Hyperspectral Remote Sensing for Winter Wheat Nitrogen Monitoring</title><link>https://paglab.org/publication/chen-2025-rs-potential/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://paglab.org/publication/chen-2025-rs-potential/</guid><description>&lt;p>Xiaokai Chen, Yuxin Miao, Krzysztof Kusnierek, Fenling Li, Chao Wang, Botai Shi, Fei Wu, Qingrui Chang, &amp;amp; Kang Yu (2025). Potential of Multi-Source Multispectral vs. Hyperspectral Remote Sensing for Winter Wheat Nitrogen Monitoring. &lt;em>Remote Sensing&lt;/em>, 17(15): 2666.&lt;/p></description></item><item><title>PrecisionAg Lab at ICPA 2024</title><link>https://paglab.org/post/precisionag-lab-at-icpa-2024/</link><pubDate>Sun, 21 Jul 2024 00:00:00 +0000</pubDate><guid>https://paglab.org/post/precisionag-lab-at-icpa-2024/</guid><description>&lt;p>🎉 We’re proud to share that &lt;strong>four PhD students&lt;/strong> (including a guest student) from the Precision Agriculture Lab at TUM participated in the &lt;strong>16th International Conference on Precision Agriculture (ICPA)&lt;/strong>, held from &lt;strong>21–24 July 2024&lt;/strong> in &lt;strong>Manhattan, Kansas, USA&lt;/strong>.&lt;/p>
&lt;h3 id="-highlights">📢 Highlights:&lt;/h3>
&lt;p>&lt;strong>Xiaokai Chen&lt;/strong> presented a poster: &lt;em>Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information&lt;/em>&lt;/p>
&lt;p>&lt;strong>Xuefeng Xu&lt;/strong> gave a presentation: &lt;em>Detecting Leaf Chlorophyll Content (LCC) using Sentinel-2 Vegetation Indices under Different Nitrogen Conditions&lt;/em>&lt;/p>
&lt;p>&lt;strong>Jie Wang&lt;/strong> gave a presentation: &lt;em>Evaluating Nitrogen Use Efficiency in Wheat Using UAV Multispectral Images&lt;/em>&lt;/p>
&lt;p>&lt;strong>Jingcheng Zhang&lt;/strong> gave a talk on: &lt;em>UAV-based Phenotyping of Nitrogen Responses in Winter Wheat&lt;/em>&lt;/p>
&lt;hr>
&lt;p>💡 This international conference provided an excellent opportunity to showcase our research in:&lt;/p>
&lt;ul>
&lt;li>UAV-based crop monitoring and phenotyping&lt;/li>
&lt;li>Satellite remote sensing for precision nitrogen management&lt;/li>
&lt;/ul>
&lt;p>👏 A big thanks to the ICPA community for the vibrant exchange of ideas and inspiration!&lt;/p>
&lt;p>#ICPA2024 #PrecisionAgriculture #NitrogenManagement #PagLabTUM #UAV #RemoteSensing #PhDLife&lt;/p></description></item></channel></rss>