Improving model performance in mapping black-soil resource with machine learning methods and multispectral features
J Hu, Y Tang, J Yan, J Zhang, Y Zhao, Z Chen - Scientific Reports, 2025 - nature.com
Accurate information on the distribution of regional black-soil resource is one of the
important elements for the sustainable management of soils. And its results can provide …
important elements for the sustainable management of soils. And its results can provide …
Assessing the utility of Munsell soil color in building and evaluating spectral models for soil clay content prediction
The present study examined how the use of soil color can help build and evaluate clay
content prediction models from laboratory visible and near infrared spectroscopic data. This …
content prediction models from laboratory visible and near infrared spectroscopic data. This …
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
JL Salazar-González, JM Luna-Romera… - Integrated …, 2024 - content.iospress.com
The development of smart homes, equipped with devices connected to the Internet of Things
(IoT), has opened up new possibilities to monitor and control energy consumption. In this …
(IoT), has opened up new possibilities to monitor and control energy consumption. In this …
Performance Metrics and Accuracy Assessment of Machine Learning Models for Crop Recommendation
K Senthil, G Teja, R Srudhakerthi - … International Conference on …, 2024 - ieeexplore.ieee.org
In this work, five machine-learning techniques are compared on crop recommendation. The
Random Forest model achieved an accuracy of 99.09%, with both precision and recall at …
Random Forest model achieved an accuracy of 99.09%, with both precision and recall at …