Development of an Autonomous Agricultural Robot Management Platform with Real-Time Monitoring and Offline Capabilities

Agricultural companies face significant labor shortages during peak harvesting seasons, leading to reduced productivity and increased costs. Existing manual methods lack efficiency, real-time monitoring, and adaptability in remote or connectivity-challenged environments. There is a pressing need for autonomous harvesting equipment that can be controlled remotely, provide real-time operational insights, function reliably offline, and enhance fruit handling quality to reduce postharvest losses.

A large-scale farming enterprise seeking innovative automation solutions to address labor shortages and optimize harvest operations.

• Develop an intuitive control interface for managing autonomous harvesting robots and platform configurations.
• Enable precise location tracking and status monitoring of field equipment on interactive maps in real-time.
• Incorporate offline functionality to support operations in remote areas without constant internet connectivity.
• Provide real-time data analytics on harvest metrics such as quantity, weight, size, and quality for immediate decision-making.
• Optimize harvest procedures to increase operational efficiency and reduce postharvest costs.
• Facilitate customization of picking profiles and zones to adapt to different crop conditions.
• Support multiple languages and easy updates without requiring app redeployment.

• Map-based interface to locate platforms and operators, showing real-time statuses and movements.
• Remote command control for starting, stopping, and configuring harvesting operations on platforms.
• Detailed platform and robot status monitoring, including errors, connectivity, and operational modes.
• Real-time data collection on harvest metrics (e.g., fruit quantity, size, weight, color, and location), with adjustable time filters.
• Offline mode supporting WiFi connectivity for uninterrupted operation in disconnected environments.
• Profile management allowing operators to select and modify picking zones and profiles per platform.
• Data categorization and visualization for analytics over different time intervals (10 min, 1 hour, 24 hours, etc.).
• Multilingual support with dynamic language updates.

• Autonomous platform SDK for device management and command execution.
• Realtime data reporting services for live harvest metrics.
• Localization and language management systems for multilingual support.
• Offline data storage and synchronization modules for disconnected operation.

• High system scalability to support multiple farms and extensive robot fleets.
• Real-time performance with minimal latency in command execution and data reporting.
• Robust offline capabilities ensuring operation without Internet for specified durations.
• Secure data transmission and access, including remote command authorization.
• System reliability with continuous operation in harsh outdoor conditions.

Implementing this autonomous harvesting management system is expected to improve harvest efficiency by streamlining operations, reducing labor dependency, and enabling data-driven decisions. The system aims to deliver real-time insights, enhance fruit quality through optimized handling profiles, and support seamless offline operation, collectively leading to increased productivity and cost savings in agricultural harvest processes.