Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
E Harsányi, M Mirzaei, S Arshad, F Alsilibe… - Earth Systems and …, 2024 - Springer
Prediction of carbon dioxide (CO2) emissions from agricultural soil is vital for efficient and
strategic mitigating practices and achieving climate smart agriculture. This study aimed to …
strategic mitigating practices and achieving climate smart agriculture. This study aimed to …
Machine Learning Approach to Simulate Soil CO2 Fluxes under Cropping Systems
With the growing number of datasets to describe greenhouse gas (GHG) emissions, there is
an opportunity to develop novel predictive models that require neither the expense nor time …
an opportunity to develop novel predictive models that require neither the expense nor time …
[HTML][HTML] Reducing fresh fish waste while ensuring availability: Demand forecast using censored data and machine learning
Food waste reduction represents a potential opportunity to enhance environmental
sustainability. This is especially important in fresh products such as fresh seafood, where …
sustainability. This is especially important in fresh products such as fresh seafood, where …
Using decision tree and artificial neural network to predict students academic performance
Student Academic Performance is a great concern for academic institutions in all levels of
academic years. Techniques like classification, clustering and association are provided by …
academic years. Techniques like classification, clustering and association are provided by …
Modelling carbon dioxide emissions under a maize-soy rotation using machine learning
Climatic parameters influence CO 2 emissions and the complexity of the relationship is not
fully captured in biophysical models. Machine learning (ML) is now being applied to …
fully captured in biophysical models. Machine learning (ML) is now being applied to …
[HTML][HTML] Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches
M Mirzaei, MG Anari, E Diaz-Pines, N Saronjic… - Journal of Arid …, 2023 - Elsevier
Agricultural lands are sources and sinks of greenhouse gases (GHGs). The identification of
the main drivers affecting GHGs is crucial for planning sustainable agronomic practices and …
the main drivers affecting GHGs is crucial for planning sustainable agronomic practices and …
Machine learning for prediction of soil CO2 emission in tropical forests in the Brazilian Cerrado
KFF Canteral, ME Vicentini, WB de Lucena… - … Science and Pollution …, 2023 - Springer
Abstract Soil CO2 emission (FCO2) is a critical component of the global carbon cycle, but it
is a source of great uncertainty due to the great spatial and temporal variability. Modeling of …
is a source of great uncertainty due to the great spatial and temporal variability. Modeling of …
High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems
LM da Costa, GC de Mendonça… - Environmental …, 2023 - Elsevier
Abstract The detection of Solar-Induced chlorophyll Fluorescence (SIF) by remote sensing
has opened new perspectives on ecosystem studies and other related aspects such as …
has opened new perspectives on ecosystem studies and other related aspects such as …
The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil
A Sergeev, E Baglaeva, A Shichkin, A Buevich - Earth Science Informatics, 2024 - Springer
A four-step dividing algorithm of sampling points for artificial neural networks is presented to
select a representative training subset for modelling the spatial distribution. The chromium …
select a representative training subset for modelling the spatial distribution. The chromium …
Artificial neural networks and adaptive neuro-fuzzy inference systems for prediction of soil respiration in forested areas southern Brazil
ME Vicentini, PA da Silva, KFF Canteral… - Environmental …, 2023 - Springer
The purpose of this study was to estimate the temporal variability of CO2 emission (FCO2)
from O2 influx into the soil (FO2) in a reforested area with native vegetation in the Brazilian …
from O2 influx into the soil (FO2) in a reforested area with native vegetation in the Brazilian …