Crop Improvement Web App

• Challenge: Inefficient farming due to unpredictable conditions and lack of comprehensive data.

• Objective: Transform agricultural data into actionable insights for farmers, improving resource allocation and yields.

• My Role: UX/UI Designer (end-to-end product development lifecycle).

• Key Goals: 15% resource waste reduction, 10% yield prediction accuracy improvement, 20% farmer satisfaction increase.

User Research & Discovery:

• Conducted 12 user interviews, contextual inquiries, and stakeholder interviews.

• Key Insights: Need for simplicity, actionable recommendations, trust, mobile-first/offline design, and visual communication.

• User Scenario: João, a soybean farmer in Brazil, seeks a tool to consolidate weather, soil data, and expert advice for precise irrigation guidance, aiming to optimize water usage and boost yields.

Design & Iteration:

• Structured application around core farmer tasks.

• Iterative process: low-fidelity wireframes to interactive Figma prototypes.

• Usability Testing (2 rounds, 8 farmers): Led to enhanced visuals, streamlined input, clearer predictions, and robust offline capabilities.

• UI Principles: Clarity, simplicity, accessibility, consistency.

Final Solution:

• Designed for maximum user convenience, this versatile web app offers dual access. It was integrated as a seamless widget within the client's internal website, allowing for rapid, in-context access. Alternatively, users can access the full web app independently, providing a dedicated, distraction-free environment for enhanced usability and accessibility.

• Emphasis on readability, ample white space, and clear typography.

Impact & Results:

• 18% reduction in water usage; 12% in fertilizer.

• 14% improvement in yield prediction accuracy.

• 85% farmer satisfaction.

• 20% reduction in manual data analysis time.

This project underscores the positive impact of user-centered design on sustainable and profitable agriculture.