Publication2026
Explainable AI Meets Agriculture: Lightweight Deep Learning for Tomato Leaf Disease Detection
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1623 LNNS
- Pages
- 224-235
- Published
- 1 January 2026
- DOI
- 10.1007/978-3-032-05120-2_20
- Scopus ID
- 105021814230
- ISSN
- 23673370
- Authors
- 4
- Open access
- No
- Citations
- 5
- 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
2.3 Double the agricultural productivity and incomes of small-scale food producers
MobileNetV2 deep learning detects tomato leaf diseases with explainable AI, reducing crop losses in precision agriculture.
- 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
Lightweight AI model development for edge device deployment advances agricultural technology research.
- 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-2.1 Agriculture and the rural economy
Disease detection technology improves agricultural productivity and rural economy.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Explainable AI Meets Agriculture: Lightweight Deep Learning for Tomato Leaf Disease Detection”. Kortex.