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Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Dee...

Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Dee...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75cd5915c8084fa2b7f418751d2b58f4

Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Deep Learning

About this item

Full title

Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Deep Learning

Publisher

Basel: MDPI AG

Journal title

Agriculture (Basel), 2024-12, Vol.14 (12), p.2240

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Conservation tillage involves covering the soil surface with crop residues after harvest, typically through reduced or no-tillage practices. This approach increases the soil organic matter, improves the soil structure, prevents erosion, reduces water loss, promotes microbial activity, and enhances root development. Therefore, accurate information o...

Alternative Titles

Full title

Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Deep Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_75cd5915c8084fa2b7f418751d2b58f4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75cd5915c8084fa2b7f418751d2b58f4

Other Identifiers

ISSN

2077-0472

E-ISSN

2077-0472

DOI

10.3390/agriculture14122240

How to access this item