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ROBOFERT: Human - Robot Advanced Interface for Robotic Fertilization Process

Cruz Ulloa, Christyan; Krus, Anne; Torres Llerena, Guido; Barrientos, Antonio; Cerro, Jaime and Valero, Constantino (2022) ROBOFERT: Human - Robot Advanced Interface for Robotic Fertilization Process. In: Trends in Artificial Intelligence and Computer Engineering, Springer, 407, pp. 60-73.

[thumbnail of ICAETT 2021 ROBOFERT Human - Robot Advanced Interface forRobotic Fertilization Process..pdf] PDF - English
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Document available online at: https://link.springer.com/chapter/10.1007/978-3-030-96147-3_5


Summary

The interfaces for Human-Robot interaction in different fields such as precision agriculture (PA) have made it possible to improve production processes, applying specialized treatments that require a high degree of precision at the plant level. The current fertilization processes are generalized for vast cultivation areas without considering each plant’s specific needs, generating collateral effects on the environment. The Sureveg Core Organic COfound ERA-Net project seeks to evaluate the benefits of growing vegetables in rows through the support of robotic systems. A robotic platform equipped with sensory, actuation, and communication systems and a robotic arm have been implemented to develop this proof of concept. The proposed method focuses on the development of a human-machine interface (IHM) that allows the integration of information coming from different systems from the robotized platform on the field and suggest to an operator (in a remote station) take a fertilization action based on specific vegetative needs to improve vegetable production. The proposed interface was implemented using Robot Operating System (ROS) and allows: visualizing the states of the robot within the crop by using a highly realistic environment developed in Unity3D and shows specific information of the plants’ vegetative data fertilization needs and suggests the user take action. The tests to validate the method have been carried out in the fields of the ETSIAAB-UPM. According to the multi-spectral data taken after (2 weeks after being planted) and before (3 months after growth), main results have shown that NDVI indexes mean values in the row crop vegetables have normal levels around 0.4 concerning initial NDVI values, and its growth was homogeneous, validating the influence of ROBOFERT


EPrint Type:Conference paper, poster, etc.
Type of presentation:Paper
Keywords:Virtual reality, ROS, Robotics, Precision agriculture, Human machine interface, Image processing
Agrovoc keywords:
Language
Value
URI
English
robots
http://aims.fao.org/aos/agrovoc/c_25680
English
strip cropping
http://aims.fao.org/aos/agrovoc/c_25705
English
fertilization
http://aims.fao.org/aos/agrovoc/c_2863
Subjects: Farming Systems > Buildings and machinery
Research affiliation: European Union > CORE Organic Cofund > SUREVEG
Spain > CSIC (Spanish National Research Council)
Spain > Polytechnic University of Madrid
ISBN:978-3-030-96146-6
DOI:10.1007/978-3-030-96147-3_5
Deposited By: Valero, Constantino
ID Code:43727
Deposited On:18 Feb 2022 10:51
Last Modified:18 Feb 2022 10:51
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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