[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 …

Digital soil mapping of soil total nitrogen based on Landsat 8, Sentinel 2, and WorldView-2 images in smallholder farms in Yellow River Basin, China

Y Xu, B Li, X Shen, K Li, X Cao, G Cui, Z Yao - … monitoring and assessment, 2022 - Springer
Predicting spatial explicit information of soil nutrients is critical for sustainable soil
management and food security under climate change and human disturbance in agricultural …

[HTML][HTML] Predicting spatial variations in soil nutrients with hyperspectral remote sensing at regional scale

YQ Song, X Zhao, HY Su, B Li, YM Hu, XS Cui - Sensors, 2018 - mdpi.com
Rapid acquisition of the spatial distribution of soil nutrients holds great implications for
farmland soil productivity safety, food security and agricultural management. To this end, we …

[HTML][HTML] Prediction of soil nutrient contents using visible and near-infrared reflectance spectroscopy

Y Peng, L Zhao, Y Hu, G Wang, L Wang… - ISPRS international journal …, 2019 - mdpi.com
Quickly and efficiently monitoring soil nutrient contents using remote sensing technology is
of great significance for farmland soil productivity, food security and sustainable agricultural …

[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] Estimation of soil nutrient content using hyperspectral data

Y Peng, L Wang, L Zhao, Z Liu, C Lin, Y Hu, L Liu - Agriculture, 2021 - mdpi.com
Soil nutrients play a vital role in plant growth and thus the rapid acquisition of soil nutrient
content is of great significance for agricultural sustainable development. Hyperspectral …

Soil nutrients prediction using remote sensing data in western india: An evaluation of machine learning models

G Kaur, K Das, J Hazra - IGARSS 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Soil nutrient estimation can be used as a key input to increase crop yield and agriculture
fertilization. Due to the shortage of the ground measured spectrum technology and …

Predicting soil nutrient contents using Landsat OLI satellite images in rain-fed agricultural lands, northwest of Iran

N Miran, MH Rasouli Sadaghiani, V Feiziasl… - Environmental …, 2021 - Springer
Soil nutrients are the key factors in soil fertility, which have important roles in plant growth.
Determining soil nutrient contents, including macro and micronutrients, is of crucial …

[HTML][HTML] Modeling the spatial distribution of soil nitrogen content at smallholder maize farms using machine learning regression and sentinel-2 data

Z Mashaba-Munghemezulu, GJ Chirima… - Sustainability, 2021 - mdpi.com
Nitrogen is one of the key nutrients that indicate soil quality and an important component for
plant development. Accurate knowledge and management of soil nitrogen is crucial for food …

Mapping stocks of soil total nitrogen using remote sensing data: A comparison of random forest models with different predictors

Y Zhang, B Sui, H Shen, L Ouyang - Computers and Electronics in …, 2019 - Elsevier
Estimation of soil total nitrogen (STN) is important for quantifying the spatial distribution of
soil N (Nitrogen) stocks, determining the amount absorbed by crops and avoiding yield …