Bringing Precision to Farming: How Drones Empower Farmers & Agronomists

Designing a Drone-Based Agricultural Service for Cropin

Senior stakeholders at CropIn’s enterprise clients struggled to access meaningful agricultural intelligence — not because the data didn’t exist, but because it was fragmented across multiple modules requiring active navigation. I led the design of the Insights Report Builder: a no-code configuration system that enables admins to compose modular executive reports spanning crop health, DEWS (Disease Early Warning System), operational progress, alerts, yield forecasting, and harvest insights into a single, contextual view of seasonal performance.

Designed for executive visibility, the system transformed fragmented product intelligence into stage-aware, reusable reports, helping leadership teams monitor agricultural programs without navigating complex workflows. Configured reports could then be integrated into Farm Engagement workflows for automated delivery via Email, WhatsApp, or SMS — extending insights beyond dashboards and into day-to-day decision-making.

[TL;DR]

This was my graduation project at NID and my internship with Cropin Technologies. It aimed to build a proof of concept (POC) for agricultural drone use cases, explore possible business directions for servicing drones, and create a mock experience for integrating drone data with Cropin's flagship product, SmartFarm (a B2B SaaS web and mobile app). The process involved extensive research, prototyping, and field testing to develop a viable business model and user-friendly experience.

Summary

Objective

Leverage drone technology to provide precision farming solutions, improve farm productivity, and seamlessly integrate it into Cropin’s SmartFarm product.

The goal was to improve prediction accuracy, user engagement, and decision-making by allowing users to configure disease warnings, set risk thresholds, and select notification channels.

The goal was to improve prediction accuracy, user engagement, and decision-making by allowing users to configure disease warnings, set risk thresholds, and select notification channels.

My Role

Led research, design, and validation of the drone service.

Developed the service blueprint, user flows, and business model.

Coordinated with stakeholders to align the solution with Cropin’s ecosystem.

What Was Achieved

Proposed a business model for drone-based data acquisition and analytics.

Successfully field-tested drone operations to validate data accuracy.

Designed a drone service framework integrating with Cropin’s SmartFarm.

Conducted market research to identify viable drone applications in agriculture.

Outcome

Successfully demonstrated the feasibility of integrating drone technology with SmartFarm.

Enhanced precision farming capabilities, leading to more informed decision-making.

Improved the accuracy of farm data analysis, increasing efficiency in monitoring and managing crops.

Laid the groundwork for future advancements, such as automated drone-based spraying and planting.

Presentation

Moments during field visits