This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of AI-Powered Agritech CRM Analytics Dashboards for Sustainable Farming

lionwood.software

Agriculture

Environmental Services

Business Challenges

The client required a centralized system to process and visualize diverse agricultural data streams (AI-analyzed photos, drone/tractor imagery, historical records) for stakeholders at multiple decision-making levels. Existing tools lacked cohesive UX design, cross-source data harmonization, and real-time actionable insights for sustainable pesticide management.

About the Client

A US-based agritech company providing IoT-enabled precision spraying hardware and data analytics software to reduce pesticide usage and optimize farm operations.

Key Project Objectives

Create role-adaptive dashboards for farmers, field workers, and managers with consistent UX standards
Develop a CRM system to aggregate and centralize IoT data from tractors, drones, and sensors
Integrate heterogeneous data sources into unified visualizations without conflicts
Incorporate agritech best practices during discovery phase for stakeholder alignment
Enable bidirectional communication between CRM and operational systems for immediate actionability

Core System Requirements

Real-time pesticide usage tracking and cost-saving analytics
AI-powered weed/pest identification with density mapping
Operator efficiency monitoring and alerts
Historical data trend analysis with predictive insights
Customizable dashboard views for different user roles
IoT data ingestion pipeline from drones and field sensors

Technology Stack

React.js

Chart.js

.NET

Azure

Figma

System Integrations

Drone imaging systems
Tractor-mounted IoT sensors
Historical farm data repositories
Spraying equipment telemetry APIs

Quality Attributes

High scalability for global farm data processing
Low-latency real-time data visualization
Role-based access control for sensitive data
Mobile-responsive dashboard interfaces

Expected Business Impact

Enables data-driven pesticide reduction through AI-powered insights, improves farm operational efficiency by 30-40%, and establishes a scalable platform for sustainable agriculture practices. Centralized data visualization reduces decision-making latency while IoT integration creates opportunities for predictive farming strategies.