TY - GEN
T1 - Ground Harvesting and Gathering Robots in Agriculture
T2 - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024
AU - Huamanchahua, Deyby
AU - Soncco, Franklin
AU - Lugo-Figueroa, Alessandro
AU - Chirinos-Castillo, Daniel
AU - Rojas, Bruno A.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The study about the collectors' robots started in 1960 due to the increasing population. The collector's robots are essential in food production, and the research of new technologies for harvesting robots has increased. This article focuses on a comprehensive review of the components' applications that agricultural robots possess based on PRISMA methodology. The objective is to provide and inform researchers about the principal technologies and techniques used in different projects through a structured matrix. For the development of these articles, the information was obtained from databases such as "ScienceDirect,""IEEE Explore,""Wiley Online Library,""Springer Link,""JSTAGE,"and "Scopus."We have analyzed 36 articles that we've selected from 2020 to 2023. There has been a selection of 5 variables, and we will explain and describe their function and application in this kind of robot: the degree of freedom, sensors, and type of cameras, actuators, image recognition technique, and end-effector. We selected these variables because they are significant for interacting with the crops and detecting the robot's objective. Finally, based on the analysis, the conclusion is presented about the challenges to be overcome in the five select variables.
AB - The study about the collectors' robots started in 1960 due to the increasing population. The collector's robots are essential in food production, and the research of new technologies for harvesting robots has increased. This article focuses on a comprehensive review of the components' applications that agricultural robots possess based on PRISMA methodology. The objective is to provide and inform researchers about the principal technologies and techniques used in different projects through a structured matrix. For the development of these articles, the information was obtained from databases such as "ScienceDirect,""IEEE Explore,""Wiley Online Library,""Springer Link,""JSTAGE,"and "Scopus."We have analyzed 36 articles that we've selected from 2020 to 2023. There has been a selection of 5 variables, and we will explain and describe their function and application in this kind of robot: the degree of freedom, sensors, and type of cameras, actuators, image recognition technique, and end-effector. We selected these variables because they are significant for interacting with the crops and detecting the robot's objective. Finally, based on the analysis, the conclusion is presented about the challenges to be overcome in the five select variables.
KW - fruit-picking
KW - gripper
KW - harvesting robots
KW - image recognition
KW - object detection
KW - vision system
UR - http://www.scopus.com/inward/record.url?scp=85208827544&partnerID=8YFLogxK
U2 - 10.1109/COLCOM62950.2024.10720324
DO - 10.1109/COLCOM62950.2024.10720324
M3 - Conference contribution
AN - SCOPUS:85208827544
T3 - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings
BT - 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings
A2 - Briceno Rodriguez, Diana Z.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 August 2024 through 24 August 2024
ER -