Surya Prakash YadavSenior Software Developer
Back to All ProjectsAgriTech Mobile & Cloud ERP

Dairy Farm ERP & Livestock Lifecycle Platform

AgriTech Livestock Management, Milk Yield Tracking & Predictive Breeding System

A comprehensive AgriTech livestock ERP system built to manage cattle genealogies, track automated daily milk yields, schedule veterinary breeding cycles, calculate feed conversion ratios, and generate farm profitability analytics.

My RoleLead Mobile Developer & Backend Co-Architect
Timeline & Scope6 Months

Key Verified Outcomes & Results

+28%
Increase in On-Time Insemination Success
15k+
Cattle Monitored Across Commercial Farms
35%
Reduction in Herd Veterinary Medication Errors
100%
Accurate Digital Yield Accounting
The Business & Technical Challenge

Commercial dairy farms struggled with pen-and-paper logging of cattle health, missed breeding windows resulting in significant lactation drop-offs, and lacked visibility into individual cattle feed-to-milk ROI.

The Engineered Solution

Created a robust Flutter application equipped with RFID tag scanning, daily yield charts, AI-assisted heat cycle and gestation predictive calendars, veterinary treatment logs, and multi-farm administrative dashboards.

System Architecture

Domain-Driven Design + BLoC/Riverpod + Microservice Backend

Production Verified

Features an offline-first data sync engine designed for rural farm networks, communicating with a Node.js Fastify API layer backed by PostgreSQL for analytical rollups and Redis for hot cattle cache queries.

AgriTech Client
1. RFID Tag Scan

Farm worker scans ear-tag via camera or BLE RFID scanner.

Riverpod Repository
2. Local Cache Lookup

Instant display of lactation curve, health status, and vaccination alerts.

Data Entry
3. Yield Batch Record

Worker inputs morning milk batch and quality metrics.

Analytics Engine
4. Cloud Analytics Aggregation

Backend computes herd-level yield projections and profit margins.

Core Engineering Features & Capabilities

RFID & Ear-Tag Quick Barcode Scanning for instant cattle health profile lookup
Milk Yield Logging (Morning/Evening batches) with automated fat/SNF metric tracking
Predictive Breeding & Gestation Calendar with automated artificial insemination alerts
Veterinary Vaccination & Medication History with drug withdrawal compliance timers
Feed & Nutrition Inventory Management with daily consumption cost analysis
Financial Health & Profitability Reports per cattle and herd level
Bluetooth Digital Scale & Milk Flow Meter integration
Exportable PDF/Excel reports for government agricultural compliance audits

Complex Engineering Challenges & Technical Solutions

Challenge #1Complex Biological Heat & Gestation Predictive Algorithms

Root Problem

Accurately forecasting 21-day heat cycles with variable animal anomalies.

Senior Implementation

Built a statistical forecasting module incorporating historical cycle variances, age, breed genetics, and behavioral observations with customizable alert thresholds.

Challenge #2Harsh Sunlight & High-Glance Outdoor UI Requirements

Root Problem

Farm operators found standard mobile UIs unreadable in direct agricultural sunlight.

Senior Implementation

Designed a high-contrast theme with oversized touch targets (minimum 48dp), high-luminance typography, and quick single-thumb workflow navigation.

Complete Technology & Tooling Stack

Flutter 3.xmobile
Riverpod Statemobile
Node.js & Fastifybackend
PostgreSQL & Prismadatabase
Chart.js & FL_Chartfrontend
Bluetooth Low Energy (BLE)integration
Redis Cachingbackend
Docker Containerizationdevops

Key Architectural Takeaways

  • Hardware interoperability (BLE scanners and smart milk meters) requires rigorous reconnect state machines.
  • Simplicity and extreme contrast are paramount for field applications used in non-office environments.