Project Overview                                         

Qaltivate developed an agentic AI software solution to power a Digital Ag Advisory App that provides farmers and agronomists with fast, data-driven fertilizer recommendations. The core of the system is an AI agent built with RAG (Retrieval-Augmented Generation), connected to a custom agronomy database and delivered through a mobile app. This agentic AI software allows end users to receive instant, field-specific answers using their own agronomic data.

Challenge

Farmers and agronomists needed a way to access reliable, customized fertilizer recommendations without navigating complex datasets or generic advisory tools.

The main challenges included:

1. Integrating custom agronomic and fertilizer data into agentic AI software capable of generating precise recommendations.
2. Delivering real-time advice that adapts to field conditions and user inputs.
3. Creating a mobile-first interface that farmers can use directly in the field.
4. Building a functional prototype quickly to validate the concept.

Static advisory tools were not enough, and the client needed a dynamic, intelligent system powered by agentic AI software.

Solution 

Agentic AI software for fertilizer recommendations

Qaltivate built a robust agentic AI software solution that connects a custom Postgres database to an AI agent using RAG. The mobile application, developed in React Native, allows users to interact with the advisor through natural language, structured inputs, and image uploads.

Key components of the agentic AI software:

AI Agent with RAG

Retrieves fertilizer and agronomy data from a structured database and generates personalized recommendations.

Mobile app

Farmers can:

1. Ask questions about specific fields
2. Upload photos for AI interpretation
3. Receive instant fertilizer recommendations
4. Use an intuitive interface designed for field conditions
5. Fast Prototyping Capability

A fully functional agentic AI software prototype was built in just 2 weeks, proving feasibility and accelerating decision-making.

Image upload & AI interpretation

The app supports photo uploads, enabling the AI to describe images or detect contextual clues, helping farmers make quicker decisions. This combination of mobile technology and agentic AI software created a highly responsive digital advisor for agricultural use cases.

Results 

The project delivered measurable impact and demonstrated the value of agentic AI software in agriculture:

1. 2-week prototype delivery showing rapid innovation and RAG integration.
2. Instant, field-specific recommendations, improving decision-making efficiency.
3. Higher farmer engagement through an easy-to-use mobile advisory tool.
4. Context-aware responses based on custom agronomic datasets.
   A scalable foundation for future digital agriculture modules.

Technologies: OpenAI, Azure, RAG, React Native, PostgreSQL, API-level connection between mobile app and AI agent

Team: Project manager, AI software engineer, mobile developer, QA engineer

Services Provided: AI architecture & development, agentic AI software engineering, RAG integration with custom agronomy datasets, mobile application development, UI/UX workflows, prototyping, QA, backend & database integration, tech consulting