A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries
In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …
Artificial intelligence in food safety: A decade review and bibliometric analysis
Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
Agricultural technology in Africa
We discuss recent trends in agricultural productivity in Africa and highlight how
technological progress in agriculture has stagnated on the continent. We briefly review the …
technological progress in agriculture has stagnated on the continent. We briefly review the …
Spatial cross-validation is not the right way to evaluate map accuracy
For decades scientists have produced maps of biological, ecological and environmental
variables. These studies commonly evaluate the map accuracy through cross-validation with …
variables. These studies commonly evaluate the map accuracy through cross-validation with …
[HTML][HTML] Progress in research on site-specific nutrient management for smallholder farmers in sub-Saharan Africa
Increasing fertilizer access and use is an essential component for improving crop production
and food security in sub-Saharan Africa (SSA). However, given the heterogeneous nature of …
and food security in sub-Saharan Africa (SSA). However, given the heterogeneous nature of …
[HTML][HTML] Comparing the prediction performance, uncertainty quantification and extrapolation potential of regression kriging and random forest while accounting for soil …
B Takoutsing, GBM Heuvelink - Geoderma, 2022 - Elsevier
Geostatistics and machine learning have been extensively applied for modelling and
predicting the spatial distribution of continuous soil variables. In addition to providing …
predicting the spatial distribution of continuous soil variables. In addition to providing …
The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …
agricultural production, while achieving both high and quality yields and minimizing the …
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents
Using machine learning and earth observation data to capture real-world variability in
spatial predictive mapping depends on sample size, design, and spatial extent …
spatial predictive mapping depends on sample size, design, and spatial extent …
Assessing machine learning-based prediction under different agricultural practices for digital mapping of soil organic carbon and available phosphorus
Predicting soil chemical properties such as soil organic carbon (SOC) and available
phosphorus (Ava-P) content is critical in areas where different land uses exist. The …
phosphorus (Ava-P) content is critical in areas where different land uses exist. The …
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Abstract Machine learning is increasingly applied to Earth Observation (EO) data to obtain
datasets that contribute towards international accords. However, these datasets contain …
datasets that contribute towards international accords. However, these datasets contain …