Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Identification of Technical Requirements for the Initial Design of an Autonomous Fruit-Harvesting Robot

Version 1 : Received: 4 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (08:20:31 CEST)

How to cite: Salazar, M.; Portero, P.; Rubin, J. Identification of Technical Requirements for the Initial Design of an Autonomous Fruit-Harvesting Robot. Preprints 2024, 2024090403. https://doi.org/10.20944/preprints202409.0403.v1 Salazar, M.; Portero, P.; Rubin, J. Identification of Technical Requirements for the Initial Design of an Autonomous Fruit-Harvesting Robot. Preprints 2024, 2024090403. https://doi.org/10.20944/preprints202409.0403.v1

Abstract

Automation in agriculture is transforming the management of field tasks. This article focuses on identifying the needs and preliminary requirements for designing an autonomous robot for fruit harvesting. These robotic systems integrate advanced machine vision technologies and neural networks to accurately detect ripe fruits and obstacles, thereby optimizing harvesting efficiency. Additionally, the use of proximity and touch sensors is emphasized, ensuring careful and safe handling of fruits to prevent damage during harvesting. The technical specifications of these robots, including traction, speed, and their ability to operate on slopes, are evaluated to ensure adaptability to different types of crops and ground conditions. Perception systems, utilizing advanced cameras and sensors, provide essential data for crop inspection and route planning. Through a thorough analysis of operational demands, environmental conditions, and technical specifications, this article aims to establish a solid foundation for guiding the development and construction of an efficient and viable harvesting robot. The prospects and potential of fruit-harvesting robots to transform agriculture are highlighted, underscoring the importance of ongoing research and development to overcome current challenges and enhance the feasibility and effectiveness of these robotic systems.

Keywords

Agricultural robotics; Computer vision; Autonomous harvesting

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.