Publication2023
A novel approach to detecting apple disease using CNN
- Zero Hunger
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 28 December 2023
- Level
- National
- Journal
- Building Intelligent Systems Using Machine Learning and Deep Learning Security Applications and Its Challenges
- Pages
- 105-121
- Published
- 28 December 2023
- Scopus ID
- 85183237879
- Authors
- 4
- Open access
- No
- Citations
- 0
- 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
Convolutional neural network detects apple diseases including black rot, cedar apple rust and apple scab for crop protection.
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Deep learning transfer learning models ResNet50 and DenseNet121 achieve 99.5% accuracy in crop disease classification.
- 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. Convolutional neural network detects apple diseases including black rot, cedar apple rust and apple scab for crop protection.
- 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.
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- 1
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Citing this record
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KIIT Deemed to be University. “A novel approach to detecting apple disease using CNN”. Kortex.