Home ›
Entities
› academia
› Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network
Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network
Research article (Ecological Informatics, 2024) · cited 20× · AI/ML
Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network
Summary
Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network is a scholarly article[1].
Key Facts
Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-and-segmenting-salt-affected-soils-using-in-situ-ec-measurements-remote-sensing-and-a-modified-deep-learning-m
MLA“Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-and-segmenting-salt-affected-soils-using-in-situ-ec-measurements-remote-sensing-and-a-modified-deep-learning-m.
BibTeX@misc{4ortxyz_assessing-and-segmenting-salt-affected-soils-using-in-situ-ec-measurements-remote-sensing-and-a-modified-deep-learning-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-and-segmenting-salt-affected-soils-using-in-situ-ec-measurements-remote-sensing-and-a-modified-deep-learning-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing and segmenting salt-affected soils using in-situ EC measurements, remote sensing, and a modified deep learning MU-NET convolutional neural network — https://4ort.xyz/entity/assessing-and-segmenting-salt-affected-soils-using-in-situ-ec-measurements-remote-sensing-and-a-modified-deep-learning-m (retrieved 2026-05-24)
