Anatomical study and early diagnosis of dome galls in Cordia Dichotoma using DeepSVM model

These results indicate that the proposed DeepSVM approach offers better generalization and training stability than conventional CNN classifiers, potentially aiding in automated disease monitoring for precision agriculture.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2026-01-05
DOI
https://doi.org/10.3389/frai.2025.1558358
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Anatomical study and early diagnosis of dome galls in Cordia Dichotoma using DeepSVM model

Mahboob Alam, Aziz Khan, Mazliham Bin Mohd Su’ud, Muhammad Ayaz et al.
Frontiers in Artificial Intelligence
Smart Agriculture and AI
article

Anatomical study and early diagnosis of dome galls in Cordia Dichotoma using DeepSVM model

Mahboob Alam, Aziz Khan, Mazliham Bin Mohd Su’ud, Muhammad Ayaz, Said Khalid Shah
article en

Abstract

These results indicate that the proposed DeepSVM approach offers better generalization and training stability than conventional CNN classifiers, potentially aiding in automated disease monitoring for precision agriculture.

Frontiers in Artificial IntelligenceVol. 8
Multimedia University (MY), Riphah International University (PK), University of Science and Technology Bannu (PK)
Zero hunger
Openalex Percentile: Top 97%
Smart Agriculture and AI
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