BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease Diagnosis
q-bio.QM, cs.CV
Submitted: 2026-08-27
Updated: 2026-08-27
Code: https://github.com/samy101/banana-vlm
Terminology
Sources
- AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
- Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
- From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
- Self-Consistency in Vision-Language Models for Precision Agriculture: Multi-Response Consensus for Crop Disease Management
- DoRA: Weight-Decomposed Low-Rank Adaptation
- From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning
- Synthetic Data Generation Using Large Language Models: Advances in Text and Code
- Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
- Mistral 7B
- LLaMA: Open and Efficient Foundation Language Models
- Improving Text Embeddings with Large Language Models
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
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