相关实验视频

Updated: Jul 5, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

从PRISMA高光谱数据评估玉米的吸收,通过混合建模

Marina Ranghetti¹, Mirco Boschetti¹, Luigi Ranghetti¹

¹Institute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.

European journal of remote sensing

|January 19, 2024

概括

这项研究使用机器学习和辐射转移模型从PRISMA卫星数据中估计作物和叶绿素含量. 这些发现支持精准农业应用,通过准确评估植物吸收.

科学领域:

地球观测地球观测
精准农业精准农业精准农业
频谱学是一种光谱学.

背景情况:

意大利航天局的PRISMA任务提供了新的地球观测 (EO) 数据流.
估计生物物理作物变量 (BVs) 需要先进的方法来处理这些新数据.
这项研究重点关注树冠中的叶绿素含量 (CCC) 和树冠中的含量 (CNC).

研究的目的:

评估一种用于从合成PRISMA数据中检索CCC和CNC的混合方法.
评估估计的作物变量与植物吸收 (PNU) 之间的相关性.
将开发的模型应用于用于PNU估计的实际PRISMA图像.

主要方法:

使用了一种混合方法,结合了PROSAIL-PRO辐射转移模型和机器学习 (ML) 回归算法.
从HyPlant空中传感器图像中模拟了类似PRISMA的数据.
使用ML算法检索CCC和CNC,并分析它们与PNU的关系.

主要成果:

混合方法成功地从模拟的PRISMA数据中检索出CCC和CNC.
树冠含量 (CNC) 与植物吸收 (PNU) 的相关性略强 (R2 = 0.82),而不是树冠含量 (CCC) (R2 = 0.80).
应用于实际PRISMA数据的CNC-PNU模型产生了在预期范围和一致的时间趋势内的PNU估计.

结论:

开发的混合方法是有效的估计作物和叶绿素含量使用PRISMA数据.
这些发现证明了PRISMA数据和ML在精准农业和可持续农业方面的潜力.
该研究验证了使用基于卫星的估计来监测整个生长季节的植物状况.

关键词:

精准农业是一种精准农业.机器学习回归算法植物吸收的估计.辐射转移模型的辐射转移模型

更多相关视频

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

Published on: June 16, 2018

Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn Zea mays As an Exemplar

Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn Zea mays As an Exemplar

Published on: August 6, 2018

相关概念视频

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Key Elements for Plant Nutrition

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...