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AGRITECH SOLUTIONS Sustainable Farming Data Lake

Built comprehensive data architecture for 200+ farms, increasing crop yields by 23% while reducing water usage.

100%
security incidents eliminated
47
vessels unified
35%
operational overhead reduced
Client

AGRITECH SOLUTIONS

Topic

AGRICULTURE

Product

AGRICULTURE

Sustainable Farming Data Lake

In this case study

Intro

Traditional farming methods with limited data insights and inefficient resource allocation.

As the organization scaled, these challenges became increasingly critical to address. The need for a comprehensive solution that could unify operations, reduce technical debt, and deliver measurable results became paramount for continued growth and competitiveness.

Summary

Increased crop yields by 23%, reduced water usage by 30%, and enabled data-driven farming decisions. Fewer operational issues, faster resolution times and a more consistent performance across all systems and platforms.

The Problem

The ecosystem had become critical to how the business operated, but it wasn't built to run as one connected system.

Limited visibility into crop health and soil conditions. Each system played a role in delivering value, but they were managed independently, creating significant operational friction.

Running this environment required constant coordination:

  • Limited visibility into crop health and soil conditions
  • Inefficient water and fertilizer usage
  • No predictive analytics for disease prevention
  • Manual data collection and analysis processes

Even routine issues became time-consuming, requiring coordination across teams before resolution could begin. A slowdown in one platform could trigger issues in others, but there was no single view to trace root cause and impact quickly.

The Solution

With NexGen, the organization was able to redesign the operating model to make day-to-day operations easier to manage and less dependent on manual coordination.

This approach combined structural changes with technology-driven capabilities:

  • Phase 1: Farm Assessment & IoT Planning
  • Phase 2: Sensor Network Deployment
  • Phase 3: Data Lake Implementation
  • Phase 4: Analytics & Optimization

Together, these changes reduced delays caused by disconnected systems and made it easier to identify and fix issues before they affected operations.

The Impact

The transformation delivered measurable improvements across cost, speed and operational efficiency:

  • Increased crop yields by 23%
  • reduced water usage by 30%
  • and enabled data-driven farming decisions

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