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Development of Smart Fertilization Planning Web Application

coherentsolutions.com

Agriculture

Manufacturing

Technology

Business Challenge

Global AgriNutri Solutions experienced significant inefficiencies due to a manual fertilization planning process. Employees spent excessive time collecting customer data, creating recommendations, and explaining them, hindering research efforts and limiting scalability.

About the Client

Global manufacturer and provider of comprehensive nutritional solutions for agriculture and livestock.

Project Objectives

Develop a web application to automate fertilization plan generation.
Reduce the time spent by employees on manual fertilization planning tasks.
Improve the accuracy and efficiency of fertilization recommendations.
Enable customers to easily review and customize their fertilization plans.
Provide data-driven insights to enhance the fertilization algorithm.

Functional Requirements

Customer login and data input
Automated fertilization recommendation generation
Dynamic explanations for recommendations
Recommendation editing and customization
Recommendation export in various formats
Third-party data loading automation
Mandatory report generation (US federal regulations)
Field visualization and area calculation (map integration)
Product mixing testing algorithm
Notification system (application and email)
Admin panel for user and algorithm management
Version control for algorithm changes

Preferred Technologies

.NET

Angular

PostgreSQL

AWS

Required Integrations

Various third-party data sources for input data
Power BI for reporting and data visualization

Key Non-Functional Requirements

Scalability to handle a large number of users and data
High performance for quick recommendation generation
Robust security to protect customer data
Reliability and availability

Expected Business Impact

This project is expected to significantly improve operational efficiency, reduce costs, enhance customer satisfaction, and strengthen Global AgriNutri Solutions' position as a leader in the agronomy industry. The automation of fertilization planning will free up employee time for research and development, ultimately improving the accuracy and effectiveness of their products and services.