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Development of AgriTech Platform for Automated Turkey Breeding Management with Heat Maps and Placement Wheel Tool

leancode.co

Agriculture

Information technology

Challenges in Manual Turkey Breeding Management

Turkey breeders face inefficiencies in manually calculating water/feed/ventilation parameters, scheduling breeding cycles, managing barn availability, and tracking turkey lifespan metrics. Current processes lack automation, real-time data integration, and specialized tools for optimizing farm operations.

About the Client

AgriTech platform provider specializing in digital tools for turkey breeding automation

Objectives for the AgriTech Platform Development

Automate critical breeding parameter calculations
Create intuitive tools for scheduling egg placement and lifecycle tracking
Improve barn utilization through dynamic availability management
Integrate real-time weather data with farm mapping
Enhance decision-making through visual analytics

Core System Functionalities

Interactive heat map tool for bedding temperature analysis
Custom animated placement wheel for scheduling
Farm/barn mapping with real-time weather overlay
Automated feed/water/ventilation calculators
Barn availability calendar with density optimization

Technology Stack Requirements

Flutter

Dart

Custom Animation Libraries

External System Integrations

Weather API
Mapping API
Farm Management Systems

Non-Functional Requirements

Scalable architecture for multi-farm operations
Real-time data visualization performance
Data security for agricultural operations
Cross-platform mobile/web compatibility
Intuitive UI/UX for agricultural workers

Expected Impact of the AgriTech Platform

The platform will reduce manual calculation errors by 80%, optimize barn utilization through predictive scheduling, and improve resource allocation efficiency. Real-time data integration will enable better environmental control, while visual tools will enhance decision-making accuracy for turkey lifecycle management.