Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/01/27
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Journal
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Indian UGC (journal)
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Refrences40
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Taruna Sharma ORCID (unauthenticated)
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Ganesh Kumar Sethi
Cite
Sharma, Taruna, and Ganesh Kumar Sethi. “Improving Wheat Leaf Disease Image Classification With Point Rend Segmentation Technique”. SN Computer Science, vol. 5, no. 2, 2024, https://doi.org/10.1007/s42979-023-02571-w.
Sharma, T., & Sethi, G. K. (2024). Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique. SN Computer Science, 5(2). https://doi.org/10.1007/s42979-023-02571-w
Sharma, Taruna, and Ganesh Kumar Sethi. “Improving Wheat Leaf Disease Image Classification With Point Rend Segmentation Technique”. SN Computer Science 5, no. 2 (2024). https://doi.org/10.1007/s42979-023-02571-w.
1.
Sharma T, Sethi GK. Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique. SN Computer Science. 2024;5(2).
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Leaf Disease Segmentation and Detection in Apple Orchards for Precise Smart Spraying in Sustainable Agriculture | Sustainability |
| 29 | 2022 |
Semantic Segmentation of Wheat Stripe Rust Images Using Deep Learning | Agronomy |
| 6 | 2022 |
An Instance Segmentation Model for Strawberry Diseases Based on Mask R-CNN | Sensors |
| 32 | 2021 |
| Identification of plant diseases using convolutional neural networks | International Journal of Information Technology | 34 | 2021 | |
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques | AgriEngineering |
| 80 | 2021 |
Refrences Analysis
The category
Agriculture: Agriculture (General) 9
is the most frequently represented among the references in this article. It primarily includes studies from Nature and Artificial Intelligence Review. The chart below illustrates the number of referenced publications per year.