Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map
F Parsaie, A Farrokhian Firouzi, SR Mousavi… - Environmental …, 2021 - Springer
Understanding the spatial distribution of soil nutrients and factors affecting their
concentration and availability is crucial for soil fertility management and sustainable land …
concentration and availability is crucial for soil fertility management and sustainable land …
Delineating smallholder maize farms from Sentinel-1 coupled with Sentinel-2 data using machine learning
Z Mashaba-Munghemezulu, GJ Chirima… - Sustainability, 2021 - mdpi.com
Rural communities rely on smallholder maize farms for subsistence agriculture, the main
driver of local economic activity and food security. However, their planted area estimates are …
driver of local economic activity and food security. However, their planted area estimates are …
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Accurate measurements of maize yields at field or subfield scales are useful for guiding
agronomic practices and investments and policies for improving food security. Data on …
agronomic practices and investments and policies for improving food security. Data on …
Spatial management strategies for nitrogen in maize production based on soil and crop data
E Cordero, L Longchamps, R Khosla… - Science of the total …, 2019 - Elsevier
Nitrogen (N) fertilisation determines maize grain yield (MGY). Precision agriculture (PA)
allows matching crop N requirements in both space and time. Two approaches have been …
allows matching crop N requirements in both space and time. Two approaches have been …
Nitrogen estimation for wheat using UAV-based and satellite multispectral imagery, topographic metrics, leaf area index, plant height, soil moisture, and machine …
To improve productivity, reduce production costs, and minimize the environmental impacts of
agriculture, the advancement of nitrogen (N) fertilizer management methods is needed. The …
agriculture, the advancement of nitrogen (N) fertilizer management methods is needed. The …
Influence of soil properties on maize and wheat nitrogen status assessment from Sentinel-2 data
Soil properties variability is a factor that greatly influences cereals crops production and
interacts with a proper assessment of crop nutritional status, which is fundamental to support …
interacts with a proper assessment of crop nutritional status, which is fundamental to support …
Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images
Q Zhang, M Liu, Y Zhang, D Mao, F Li, F Wu, J Song… - Remote Sensing, 2023 - mdpi.com
Soil total nitrogen (STN) is a crucial component of the ecosystem's nitrogen pool, and
accurate prediction of STN content is essential for understanding global nitrogen cycling …
accurate prediction of STN content is essential for understanding global nitrogen cycling …
A Machine Learning Framework for Mapping Soil Nutrients with Multi-Source Data Fusion
K Das, N Twarakavi, N Khiripet… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
One of the major considerations in precision agriculture is optimizing fertilization to ensure
maximum crop productivity. The principle behind this precision fertilization is to adjust the …
maximum crop productivity. The principle behind this precision fertilization is to adjust the …
Land parcel-based digital soil mapping of soil nutrient properties in an alluvial-diluvia plain agricultural area in China
The ability to accurately and precisely perform soil nutrient mapping over large areas is
essential in the decision-making processes for precision agriculture. However, existing grid …
essential in the decision-making processes for precision agriculture. However, existing grid …
Exploiting the capabilities of Sentinel-2 and RapidEye for predicting grass nitrogen across different grass communities in a protected area
The primary indicator of forage quality in any rangeland environment is grass nitrogen.
Remote sensing has been used to map grass quality by predicting nitrogen in order to …
Remote sensing has been used to map grass quality by predicting nitrogen in order to …