TY - GEN
T1 - Diseño de una Máquina Cosechadora Automatizada para la Recolección Eficiente de Espárragos Frescos mediante Tecnología de Visión Artificial
AU - Requena-Rodríguez, José
AU - Rodríguez-Silva, Ronaldo
AU - Zarate-Perez, Eliseo
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Green asparagus is one of the most important agricultural products in the agricultural sector of Peru, positioning the country as the world's second-largest producer of these vegetables. However, the lack of prototypes and innovative technologies to address the needs of the agroindustry has adversely affected asparagus exports. Furthermore, the artisanal work modality and climatic conditions adversely impact the harvesting and quality of asparagus. To mitigate product quality issues, the implementation of an artificial vision-based recognition system is proposed. The objective of this study is to design a harvesting machine for the collection of green asparagus using this technology. The results present the detailed design of the machine, including all its systems and mechanisms. Additionally, it is estimated that the machine would take 7.5 seconds to harvest one asparagus. In the artificial vision tests, a recognition accuracy of 95% was achieved for the categories of asparagus.
AB - Green asparagus is one of the most important agricultural products in the agricultural sector of Peru, positioning the country as the world's second-largest producer of these vegetables. However, the lack of prototypes and innovative technologies to address the needs of the agroindustry has adversely affected asparagus exports. Furthermore, the artisanal work modality and climatic conditions adversely impact the harvesting and quality of asparagus. To mitigate product quality issues, the implementation of an artificial vision-based recognition system is proposed. The objective of this study is to design a harvesting machine for the collection of green asparagus using this technology. The results present the detailed design of the machine, including all its systems and mechanisms. Additionally, it is estimated that the machine would take 7.5 seconds to harvest one asparagus. In the artificial vision tests, a recognition accuracy of 95% was achieved for the categories of asparagus.
KW - Agricultural innovation
KW - Artificial vision technology
KW - Asparagus harvesting machine
KW - Export quality improvement
KW - Fresh asparagus collection
UR - http://www.scopus.com/inward/record.url?scp=85203820725&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2024.1.1.706
DO - 10.18687/LACCEI2024.1.1.706
M3 - Contribución a la conferencia
AN - SCOPUS:85203820725
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
T2 - 22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Y2 - 17 July 2024 through 19 July 2024
ER -