{Case Study}
Agrotech App - Agrotech AI Agent
AI-powered app offering smart farming insights, weather updates, and crop planning support for efficient agriculture.
{Case Study}
AI-powered app offering smart farming insights, weather updates, and crop planning support for efficient agriculture.
Company: Agrotech
Timeline: 3 Months
When: 2024
Category:
Education
Add Overview Description
Complex Data Simplification: Presenting intricate soil health metrics, such as pH levels and nutrient content, in a way that is understandable and actionable for non-expert gardeners.
Seamless Hardware Integration: Ensuring reliable connectivity between the app and soil testing devices to deliver real-time, accurate data without technical disruptions.
Conducted user research to understand gardeners’ pain points and preferences for soil management tools.
Designed a clean, intuitive interface with visual cues to simplify complex soil data.
Simplified Data Visualization: Created interactive charts and color-coded indicators to present soil metrics like pH, nitrogen, and moisture levels in an easy-to-digest format. Tooltips provided plain-language explanations for each metric.
AI-Powered Recommendations: Integrated an AI engine that analyzes soil data and delivers personalized care suggestions, such as fertilizer types or watering schedules, tailored to specific plant needs.
Reliable Device Syncing: Built a seamless Bluetooth integration system to ensure stable, real-time data transfer from soil testing devices to the app, with error-handling prompts to guide users through connectivity issues.
Guided Onboarding: Designed an interactive onboarding flow with step-by-step tutorials to help users set up their devices and understand app features, reducing the learning curve for novice gardeners.
Offline Mode: Enabled core functionalities, such as viewing past soil test results and recommendations, to work offline, accommodating users in remote or low-connectivity areas.
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