AI-based Flying Autonomous Robots™ solving agricultural labor shortages
WeSoftYou helped revolutionize fruit harvesting for Tevel by improving app functionality and providing full control over Tevel's platform and Flying Autonomous Robots™.
Industry
AI, Agriculture
Project duration
April, 2023 - August, 2023
Country state
Tel Aviv-Yafo, Israel
Team
4 members
Technology
Tevel's Flying Autonomous Robots set a new standard in agriculture. 🏃
The app for Tevel which WeSoftYou improved, provides full control over the platform and robots in the app: commands to start and stop the picking process; get actual platform location and status on the map; and change the picking profile for each platform.
Tevel’s Flying Autonomous Robots bring unparalleled efficiency. Powered by cutting-edge AI, machine learning, and computer vision algorithms, these fully autonomous robots ensure high accuracy and delicate fruit picking, avoiding any potential bruising
In addition to harvesting capabilities, robots also serve as data agents, continuously collecting and reporting a wide range of invaluable insights on each fruit they pick. This real-time and granular data enables farmers to make data-driven decisions, optimize sorting and grading processes, and achieve reductions in post-harvest costs.
Results ✨
Harvest Optimization
Enhanced and streamlined harvesting activities for improved efficiency and productivity.
Platform & Robot Control
Enabled picking process control, robot management, platform location tracking, status monitoring on a map, and customization of picking profiles for each platform.
Offline Functionality
Ensured seamless operation in areas without internet connection, maintaining uninterrupted workflow.
Real-Time Harvesting Insights
Provided immediate insights into the harvest, detailing the quantity, weight, size, color, timing, and location of picked fruit, along with its bin distribution.
Project goals ⚡️
Provide an intuitive tool for seamless control over field equipment.
Locate platforms and users accurately on the map.
Deliver real-time data from the platform for immediate insights.
Enable operation in offline modes for uninterrupted productivity.
Enhance the quality of fruits through optimized practices.
Achieve cost savings through improved operational efficiency.
Challenges ⛰
01.
Embed the Eve SDK for comprehensive platform and robot management.
02.
Maintain offline capability for reliable use without an internet connection, using platform WiFi.
03.
Present real-time data clearly, categorized by different time intervals (10 min, 1 hour, 24 hours, 12 hours, week, last 7 days) for ease of access.
04.
Offer multilingual support, with languages stored in Firebase for straightforward updates without app modifications.
The process 🚧
The development process of this project is structured to ensure the delivery of a high-quality, user-centric application. It encompasses a series of meticulously planned stages, each focusing on a specific aspect of the app’s creation, from initial design to final deployment.
Stages 🎢
01.
Design UI/UX of the App: The initial stage focuses on crafting a user-friendly and intuitive interface. This process involves creating wireframes, mockups, and prototypes to ensure the app's design aligns with user needs and expectations.
02.
Implement Core Functionality: At this stage, developers build the app's primary features and functions, integrating the Eve SDK to manage platforms and robots effectively. This includes developing offline capabilities and ensuring data visualization and multilingual support are seamlessly embedded.
03.
QA Session: Once the core development is complete, a thorough Quality Assurance (QA) session is conducted. This involves testing the app across various scenarios to identify and rectify any functional, usability, or compatibility issues.
04.
Fix Bugs and Deploy Stable Version of the App: The final stage addresses any bugs or issues identified during the QA session. After making the necessary fixes, a stable version of the app is deployed, ready for user download and installation.
Team composition 👨💻
Technology stack ⚙️
Front-end : React Native, Eve SDK, Mapbox, Typescript, i18n localization
Core features 💻
Main screen
- Display map with selected field.
- Locate each platform on the map.
- Locate the user on the map.
- See the status of the platform (PICKING, ONLINE, OFFLINE, ERROR).
- Toggle platform WiFi range, platform details.
Platform screen
- View information about platform and connected robots.
- Send command to platform.
- Send individual commands to selected robot.
- Change platform rotation.
- Highlight the selected platform on the map.
- Change robots positions.
- View robot status (PICKING, READY, ERROR, OFFLINE).
- Change the platform bin if it’s full or needs replacement.
Activity Screen
- View real-time data received from the platform.
- View separate data for each robot. or average data for the platform.
- Change timestamp filter.
Picking Profile Screen
- Select a different picking profile for the selected platform.
- View the currently selected profile.
- Change picking zones for the platform.
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