Description
Assessing machine learning techniques in forecasting Lumpy Skin Disease occurrence based on meteorological and geospatial features - dataset
Citations (5)
Cited on 03 November 2023
Weight: 1.36
Cited on 20 October 2023
Weight: 1.36
- https://doi.org/10.1109/icdabi56818.2022.10041665DataCite OpenAlex
Cited on 25 October 2022
Weight: 1.23
- https://doi.org/10.1109/icrito56286.2022.9964656DataCite OpenAlex
Cited on 13 October 2022
Weight: 1.23
- https://doi.org/10.1109/iicaiet55139.2022.9936742DataCite OpenAlex
Cited on 13 September 2022
Weight: 1.23
Mentions (1)
- https://github.com/aryashah2k/Automatic-Detection-Of-Lumpy-Skin-Disease-Using-Deep-Learning-TechniquesSoftware Heritage
Mentioned on 24 May 2023
Weight: 1.36
Metrics Over Time
Publication Details
Subfield
Agronomy and Crop Science
Field
Agricultural and Biological Sciences
Domain
Life Sciences
Confidence Score
59%
Source
Scholar Data Model
Keywords
Machine LearningVeterinary Epidemiology