DCE MÜHENDİSLİK SANAYİ TİCARET LTD. ŞTİ.

Within this project, a multi-purpose electric and autonomous agricultural robot has been developed. The robot can perform spraying, fertilizing, load carrying, hoeing, and data collection either autonomously or via remote control. Through mobile applications and internet connectivity, it can be monitored and controlled 24/7.

Key Features:

• Precision navigation: Operates with centimeter-level accuracy using RTK GPS, IMU, and LiDAR sensors.

• Multi-functionality: Capable of spraying, fertilizing, hoeing, data collection, and detecting diseases/weeds.

• Smart integration: Remote access and control via Android, iOS, and Windows Mobile applications.

• Continuous operation: Equipped with a generator for uninterrupted battery charging, enabling day and night use.

Within this project, the development of an Autonomous Hoeing Robot (ÇAPBOT) supported by artificial intelligence techniques is targeted. With its electric and modular design, the robot will support farmers in vineyard and orchard operations and can operate both autonomously and via remote control through a mobile application.

Key Features

• Autonomous & remote control: Operable manually or autonomously via a mobile application.

• AI & sensors: Equipped with RTK-GPS, LiDAR, ultrasonic sensors, and cameras for environment perception and obstacle avoidance.

• Electric & efficient: 4 hours of operation, extendable with backup batteries.

• Modular design: Initially for hoeing, but expandable to spraying, fertilizing, load carrying, and data collection.

This project concerns an artificial intelligence–based classification machine that enables the highly accurate classification of bee pollens according to their botanical origins. The developed system ensures the alignment of pollens through linear vibration, their imaging via a stereo camera, their analysis using deep learning algorithms such as YOLOv8, and their redirection into the appropriate classification compartments by means of piezoceramic blowers.

The mechanical structure is supported by flat and corrugated conveyors, speed control circuits, backup mechanisms, and multi-criteria analysis algorithms, which together have increased the system’s accuracy to over 95%. Thanks to this invention, mixed pollens can be separated into single-plant pollens, thereby enhancing the standardization, traceability, and industrial applicability of bee pollen.

The Smart Field Sprayer is a mechatronic agricultural machine designed to provide precision spraying through GPS-based mapping, sensor integration, and advanced control systems. It enables selective spraying, improved efficiency, and remote monitoring via mobile and web applications.

Key Features

• Variable Rate Application: GPS-based mapping and solenoid valve control allow spraying only on target areas.

• Marker Assisted Navigation: Guides the tractor along precise marker paths for accurate spraying.

• Mechatronic Structure: Integrates mechanical, hydraulic, electronic, and software components.

• Active Boom Suspension: Independently controls the height of both sprayer booms.

• Smart Control Unit: Collects GPS, map, and sensor data; controllable via Android, iOS, and Windows apps; enables remote monitoring and statistical reporting through a web application.