Dhenu Vision Lora 0.1
An agricultural disease detection model fine-tuned based on Qwen-VL-chat, specializing in disease identification and treatment recommendations for three major crops: rice, corn, and wheat.
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Release Time : 3/14/2024
Model Overview
Dhenu Vision LoRA v0.1 is an open-source agricultural disease detection model that assists in identifying crop diseases and providing treatment solutions through conversational interaction. Developed by KissanAI, it embodies the symbolism of the Indian divine cow Kamadhenu, aiming to offer precise guidance to agricultural communities.
Model Features
Agricultural specialization
Optimized specifically for diseases affecting three major crops (corn, rice, wheat)
Cost-effective LoRA technology
Utilizes Low-Rank Adaptation for efficient fine-tuning with 2x performance improvement
Multi-disease recognition
Supports detection and diagnosis of 9 common crop diseases
Conversational interaction
Provides disease identification and treatment advice through natural dialogue
Model Capabilities
Crop disease identification
Symptom analysis
Treatment recommendations
Prevention methods
Disease severity assessment
Use Cases
Agricultural technical support
Field disease diagnosis
Farmers obtain instant disease diagnosis by photographing crop leaves
Accurately identifies 9 common diseases
Treatment plan recommendation
Provides customized treatment and prevention suggestions based on disease type
Helps reduce crop losses
Agricultural education
Agricultural knowledge dissemination
Serves as an educational tool to help farmers learn about crop diseases
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