Advanced Crop Care Robotics: Empowering Precision Agriculture through ECE and Mechanical Integration

Dec 30, 2025

30 likes | 143 Vues

The Crop Care Robot project unites teams from Electrical and Computer Engineering (ECE), Mechanical Engineering, and Agricultural Engineering to develop innovative navigation and power management systems for precision agriculture. This initiative focuses on precise seeding in crop rows and robust power management for computation and sensor systems. By integrating hardware with the Mechanical Engineering team, we enable effective data logging and delivery. Our cutting-edge sensing algorithms will identify weeds and assess crop health while recording critical agricultural events for improved farm management.

nida

Télécharger la présentation

Advanced Crop Care Robotics: Empowering Precision Agriculture through ECE and Mechanical Integration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Crop Care Robot ECE Teams (also there exist teams in Mechanical Engineering and Ag Engineering)
Navigation and Power Management Navigation for seeding and in crop rows Power Management for computation, sensors, and implement systems Integrate hardware in collaboration with ME team. Appropriate data logging
Computation, Sensing, and Delivery Sensing system, algorithms, and triggering of actuations to be delivered via implements developed by other teams. Recognize plants out of place (weeds), as well as crop health characteristics. Record data regarding the events.