Publication2022
Mango Leaf Disease Detection Based on Deep Learning Approach
- Zero Hunger
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- Assic 2022 Proceedings International Conference on Advancements in Smart Secure and Intelligent Computing
- Published
- 1 January 2022
- DOI
- 10.1109/assic55218.2022.10088323
- Scopus ID
- 85154546576
- Authors
- 4
- Open access
- No
- Citations
- 14
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture
Deep learning system for automated detection and classification of mango leaf diseases supports crop health management and agricultural productivity enhancement.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Hybrid machine learning approach combining texture analysis and recurrent neural networks advances research innovation in agricultural biotechnology and disease diagnosis.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 2 label. Deep learning system for automated detection and classification of mango leaf diseases supports crop health management and agricultural productivity enhancement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Mango Leaf Disease Detection Based on Deep Learning Approach”. Kortex.