EndorsedendorsedCompleted

Irrigation Prediction Web & Mobile App for Hop Growers

Services Covered:

Mobile Application DevelopmentWebsite DevelopmentUI/UX DesignAI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

Food & Beverage

Duration
Duration

3 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 March 2024

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable Ackee is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Plzensky Prazdroj

mapPrague, Czech Republic

Project Summary

Ackee developed a web and mobile application that visualizes a predictive AI model for a beer company to help hop growers manage water efficiently. The app integrates with a predictive model hosted on Microsoft Azure and provides farm-level irrigation recommendations. Ackee launched and tested the first version within two months and the client praised the team's project management and understanding of requirements.

Key Challenges

  • Create a simple application for hop growers
  • Visualize complex research on hop growth and irrigation in an accessible way

Project Deliverables

  • Web and mobile application for hop growers
  • Visualization interface for a predictive AI model
  • API integration with the predictive model running in Azure
  • Geolocation/coordinate input and yield-target features
  • Irrigation recommendations and water-management predictions

Project Solution

Ackee built an application optimized for desktop, tablet, and mobile that visualizes a complex predictive AI model. Growers enter farm coordinates and desired yield, and the app uses two years of measurement data, weather forecasts and historical watering to provide irrigation advice. The app communicates via an API with the predictive model running in Microsoft Azure to deliver plant-level recommendations even for farms without sensors.

Project Outcome

  • Launched a testing version after two months of development
  • Project management and timing were perfect and exceeded expectations

Platforms

  • WebWeb
  • MobileMobile

Tech Stack

  • AzureAzure

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Ackee launched and tested the first version of the app within two months. The team provided excellent project management, remained professional, and demonstrated a deep understanding of the client's requirements, exceeding their expectations.

Jakub Zaoral

Project Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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