[HTML][HTML] Soil nutrient estimation and mapping in farmland based on UAV imaging spectrometry

X Yang, N Bao, W Li, S Liu, Y Fu, Y Mao - Sensors, 2021 - mdpi.com
Soil nutrient is one of the most important properties for improving farmland quality and
product. Imaging spectrometry has the potential for rapid acquisition and real-time …

[HTML][HTML] High-Precision Mapping of Soil Organic Matter Based on UAV Imagery Using Machine Learning Algorithms

J Zhou, Y Xu, X Gu, T Chen, Q Sun, S Zhang, Y Pan - Drones, 2023 - mdpi.com
Soil organic matter (SOM) is a critical indicator of soil nutrient levels, and the precise
mapping of its spatial distribution through remote sensing is essential for soil regulation …

Monitoring soil nutrients using machine learning based on UAV hyperspectral remote sensing

K Liu, Y Wang, Z Peng, X Xu, J Liu, Y Song… - … Journal of Remote …, 2024 - Taylor & Francis
Unmanned aerial vehicles (UAV) are rapidly evolving experimental platforms that play an
important role in remote sensing. In this study, we investigated a machine learning method …

[HTML][HTML] Mapping cropland soil nutrients contents based on multi-spectral remote sensing and machine learning

W Zhang, L Zhu, Q Zhuang, D Chen, T Sun - Agriculture, 2023 - mdpi.com
Nitrogen (N) and phosphorus (P) are primary indicators of soil nutrients in agriculture.
Accurate management of these nutrients is essential for ensuring food security. High …

[HTML][HTML] High-Resolution Mapping of Soil Organic Matter at the Field Scale Using UAV Hyperspectral Images with a Small Calibration Dataset

Y Yan, J Yang, B Li, C Qin, W Ji, Y Xu, Y Huang - Remote Sensing, 2023 - mdpi.com
The rapid acquisition of high-resolution spatial distribution of soil organic matter (SOM) at
the field scale is essential for precision agriculture. The UAV imaging hyperspectral …

[HTML][HTML] Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region

X Ge, J Ding, X Jin, J Wang, X Chen, X Li, J Liu, B Xie - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …

Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy

G Zheng, T Chen, Y Wang, X Li, W Dai, M Xu… - Annals of …, 2024 - Taylor & Francis
An existing technique for quickly obtaining the spatial distribution data of soil organic matter
(SOM) involves combining an unmanned aerial vehicle (UAV) platform and imaging …

Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest

C Zhu, J Ding, Z Zhang, Z Wang - … Acta Part A: Molecular and Biomolecular …, 2022 - Elsevier
Hyperspectral remote sensing by unmanned aerial vehicle (UAV) is an important technical
tool for rapid, accurate, and real-time monitoring of soil salinity in arid zone agroecosystems …

Combining spectral and texture features of UAV hyperspectral images for leaf nitrogen content monitoring in winter wheat

J Zhang, T Cheng, L Shi, W Wang, Z Niu… - … Journal of Remote …, 2022 - Taylor & Francis
The unmanned aerial vehicle (UAV) image spectral information and texture feature (TF)
information were fused to develop an improved model for winter wheat leaf nitrogen content …

[HTML][HTML] Utilizing the Fusion Characteristics of Multispectral and Electronic Noses to Detect Soil Main Nutrient Content

L Fu, S Liu, D Huang, J Wang, X Jiang, G Wang - Agriculture, 2024 - mdpi.com
Soil nutrients are essential for plant growth, and it is crucial to accurately detect their levels.
However, current methods for detecting soil nutrients still have low accuracy and high costs …