leaf-diseases-detect and Palm-leaf-disease-detection
These are competitors offering alternative approaches to leaf disease detection: one leverages a multimodal vision LLM (Llama Vision via Groq) for generalized disease identification across plant types, while the other uses a specialized convolutional neural network (EfficientNetB0) fine-tuned specifically for palm leaf diseases.
About leaf-diseases-detect
shukur-alom/leaf-diseases-detect
AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all diseases, severity and treatment recommendations
Leverages Meta's Llama Vision via Groq API to identify 500+ plant diseases across fungal, bacterial, viral, pest-related, and nutrient deficiency categories with confidence scoring and severity classification. The dual-interface architecture decouples a FastAPI backend service (with auto-generated OpenAPI docs) from a Streamlit frontend, enabling both programmatic API access and interactive web usage. Core features include structured JSON outputs with symptom analysis, environmental factors, and evidence-based treatment protocols, optimized for sub-5-second inference with configurable temperature and token parameters.
About Palm-leaf-disease-detection
Raghava716/Palm-leaf-disease-detection
A Streamlit-based web application that detects palm leaf diseases using a deep learning model (EfficientNetB0). The application allows users to upload palm leaf images and predicts the disease class with confidence.
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