farmsense.ai

farmsense.ai is an Ai assistant for exponentially growing Hybrid farming. To enhance farmers' yield, this application assists them by detecting diseases of plants and poultries and providing crop and egg incubation analysis. CNN, YOLO, and XGBoost are used for the models.

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Features Introduced

1. Plant Diseases Detection - ResNetV250 Model (Fine Tuned) - Detects plant diseases
2. Poultry Diseases Detection - MobileNetV250 Model (Fine Tuned) - Detects poultry diseases
3. Egg Incubation Analysis - YOLOv8 Object Detection Model (Fine Tuned) - Detecs fertility status of eggs
4. Crop Analysis - XGBoost ML Model - Recommendation system

Data

Plant Diseases Detection
Poultry Diseases Detection
Egg Incubation Analysis
Crop Analysis

User Interface and APIs

The use interface for the present version is a web application developed using ReactJS (VITE). The APIs are developed using FastAPI.

Deployment

Due to a lack of open source options, the deployment is tested in Play with Docker

Improvements in upcoming versions

1. Connecting the models for better Farmer UX
2. IoT Embeeding System
3. Introducing CI/CD pipelines
4. Mobile stand-by application
5. Improvised UI
6. LLM models for translation

Collaborators

Kausthub Kannan (Model development)
Aditya Awati (MLOps)
Rahul Rudra (Frontend development)
ShamsAarize Siddique (Frontend development)