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Lightbend > Case Studies > Improving Crop Yields with Precision Agriculture

Improving Crop Yields with Precision Agriculture

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Customer Company Size
Large Corporate
Region
  • America
Country
  • United States
Product
  • John Deere Industrial Combines
  • John Deere Tractors
  • Lightbend Platform
  • Precision Ag Service
Tech Stack
  • Sensor Data Analytics
  • Weather Data Integration
  • Data Collection Platforms
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Cost Savings
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Sensors - Environmental Sensors
Applicable Industries
  • Agriculture
Applicable Functions
  • Process Manufacturing
Use Cases
  • Farm Monitoring & Precision Farming
  • Asset Health Management (AHM)
  • Predictive Maintenance
Services
  • Data Science Services
  • System Integration
About The Customer
John Deere, a world leader in providing advanced products, technology, and services, is renowned for revolutionizing agriculture and construction. The company caters to customers who cultivate, harvest, transform, enrich, and build upon the land to meet the world's increasing need for food, fuel, shelter, and infrastructure. John Deere's industrial equipment, such as combines and tractors, is equipped with advanced technology and sensors to optimize agricultural processes. The company is committed to delivering increased return on investment to its customers by leveraging data analytics and precision agriculture techniques.
The Challenge
John Deere wanted to deliver increased return on investment to customers purchasing their large industrial equipment. The challenge was to make sense of the immense amount of data generated by the sensors embedded in their industrial combines and tractors. These sensors capture data on various operational aspects, including hydration, fertilizer, and pesticide levels, as well as the efficiency of machine operation. However, without proper analytics, this data holds no value for farmers in their decision-making process.
The Solution
To address the challenge, John Deere implemented the Lightbend platform for the collection and analysis of the vast amount of sensor data. This platform, combined with weather data and information from seed and fertilizer manufacturers, enables the optimization of equipment use. The integration of these data sources allows for more efficient crop yields, lower production costs, and increased margins. By applying analytics to the sensor data, John Deere helps farmers make informed decisions, ultimately maximizing returns and enhancing the value of their equipment.
Operational Impact
  • John Deere introduced the Precision Ag service offering, which helps customers identify more efficient use of their equipment.
  • The implementation of data analytics has led to greater customer satisfaction and loyalty.
  • The optimized use of equipment has resulted in follow-on sales for John Deere.

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