An automatic procedure for crop mapping using agricultural monitoring Article Swipe
R. Vijayalakshmi
,
M. Thangamani
,
M Ganthimathi
,
M Ranjitha
,
P Malarkodi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1950/1/012053
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1950/1/012053
IoT and Machine Learning are emerging techniques used in existing days. Agriculture plays a vital role in human survival. Mapping crop according to the current environment is important to improve agriculture. pH sensors, dielectric soil moisture Sensors, mechanical sensors, optical sensors, electro-chemical sensors and air flow sensors are used in this proposed system to gather data about the soil and supervised Learning associated with Association algorithm are used to analyze and predict which crop maps to the soil in the present circumstances. Ensemble Technique is integrated to make accurate classification to select the type of crop. Technology combining both IoT and Machine learning are used to improve the production of the crop which proportionally helps to improve the agricultural yield.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1950/1/012053
- https://iopscience.iop.org/article/10.1088/1742-6596/1950/1/012053/pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3189775841
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3189775841Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/1950/1/012053Digital Object Identifier
- Title
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An automatic procedure for crop mapping using agricultural monitoringWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-01Full publication date if available
- Authors
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R. Vijayalakshmi, M. Thangamani, M Ganthimathi, M Ranjitha, P MalarkodiList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/1950/1/012053Publisher landing page
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https://iopscience.iop.org/article/10.1088/1742-6596/1950/1/012053/pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/1950/1/012053/pdfDirect OA link when available
- Concepts
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Agriculture, Agricultural engineering, Computer science, Machine learning, Crop, Precision agriculture, Environmental science, Internet of Things, Artificial intelligence, Engineering, Agronomy, Embedded system, Ecology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2018: 1Per-year citation counts (last 5 years)
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18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.combining | 98 |
| abstract_inverted_index.important | 28 |
| abstract_inverted_index.survival. | 19 |
| abstract_inverted_index.Technology | 97 |
| abstract_inverted_index.associated | 63 |
| abstract_inverted_index.dielectric | 34 |
| abstract_inverted_index.integrated | 86 |
| abstract_inverted_index.mechanical | 38 |
| abstract_inverted_index.production | 109 |
| abstract_inverted_index.supervised | 61 |
| abstract_inverted_index.techniques | 7 |
| abstract_inverted_index.Agriculture | 12 |
| abstract_inverted_index.Association | 65 |
| abstract_inverted_index.environment | 26 |
| abstract_inverted_index.agricultural | 119 |
| abstract_inverted_index.agriculture. | 31 |
| abstract_inverted_index.circumstances. | 82 |
| abstract_inverted_index.classification | 90 |
| abstract_inverted_index.proportionally | 114 |
| abstract_inverted_index.electro-chemical | 42 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5019789975 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.68232866 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |