Developer Resources

API Documentation

Comprehensive API reference for integrating AgroGuardAI into your applications. RESTful endpoints, SDKs, webhooks, and real-time data streaming.

Quick Start Guide

Integrate AgroGuardAI in minutes with our simple API.

Python
import agroguard

# Initialize client with your API key
client = agroguard.Client(api_key="your-api-key")

# Diagnose a crop disease from an image
response = client.diagnose(
    image_path="field_photo.jpg",
    crop="maize",
    location="Nigeria"
)

# Get diagnosis and treatment recommendations
print(response.diagnosis)
print(response.treatment_plan)

Core API Endpoints

All endpoints are RESTful and return JSON responses.

POST /diagnose

Analyze crop images for disease, pest, and nutrient issues. Returns diagnosis with confidence scores and treatment recommendations.

POST /predict

Forecast crop yields, disease outbreaks, and optimal harvest windows based on historical data and weather forecasts.

POST /treatment-plan

Generate precise treatment plans with coordinates, dosages, timing, and cost estimates for autonomous field operations.

GET /crops

List all supported crop types with metadata including growth cycles, optimal conditions, and common diseases.

GET /regions

Get regional farming data including climate patterns, seasonal calendars, and crop recommendations.

WebSocket /stream

Real-time data streaming for field monitoring. Receive live updates on crop health, weather, and autonomous operations.

SDKs & Libraries

Official SDKs for popular programming languages and frameworks.

Python SDK

Full-featured Python library with async support, batch processing, and local inference capabilities. Install via pip.

Node.js SDK

JavaScript/TypeScript SDK for web and backend applications. Includes TypeScript definitions and comprehensive documentation.

REST API

Standard HTTP/REST endpoints compatible with any programming language or platform. cURL examples included.

Mobile SDKs

Native iOS and Android SDKs for mobile applications. Includes offline inference and local data processing.

Edge Deployment

Run AgroGuard Intelligence locally on NVIDIA Jetson, Raspberry Pi, and other edge devices. Full model included.

Webhooks

Receive real-time notifications for field events, treatment completion, and anomaly detection.

Ready to Build?

Start integrating AgroGuardAI into your applications today. Free tier includes everything you need to get started.

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