Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes

Jhony Carbajal; Grimaldo Quispe; Heyul Chavez-Arias; Carlos Raymundo-Ibanez; Francisco Dominguez

doi:10.1109/CONCAPANXXXIX47272.2019.8976963

Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes

Jhony Carbajal, Grimaldo Quispe, Heyul Chavez-Arias, Carlos Raymundo-Ibanez, Francisco Dominguez

Research output: Chapter in Book/Report › Conference contribution › peer-review

1 Scopus citations

Abstract

The incidence of the disease in horticultural crops is one of the important problems that affect the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is part of the solution to minimize crop loss. The monitoring of crops by human labor is expensive, time consuming, prone to errors due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design the mobile robot with vision sensors for navigation through the field. The robot has been designed in the Autodesk Inventor software. Programming for navigation is done in the Arduino Mega 2560 tool. Image capture has been performed using the RGB camera. Image processing for the identification of the disease and its representation in a graphical user interface has been performed using an algorithm in MATLAB R2018B that interacts with the Arduino tool through a communication bus. The system developed consists of the design of a prototype that uses simple and cost effective equipment such as Raspberry Pi, RGB camera, two motors and sensors that allow the autonomous fumigation of corn crops.

Original language	American English
Title of host publication	2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728108834
DOIs	https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976963
State	Indexed - Nov 2019
Externally published	Yes
Event	39th IEEE Central America and Panama Convention, CONCAPAN 2019 - Guatemala City, Guatemala Duration: 20 Nov 2019 → 22 Nov 2019

Publication series

Name	2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
Volume	2019-November

Conference

Conference	39th IEEE Central America and Panama Convention, CONCAPAN 2019
Country/Territory	Guatemala
City	Guatemala City
Period	20/11/19 → 22/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Raspberry Pi
image processing
pesticide sprayer

Access to Document

10.1109/CONCAPANXXXIX47272.2019.8976963

Cite this

Carbajal, J., Quispe, G., Chavez-Arias, H., Raymundo-Ibanez, C., & Dominguez, F. (2019). Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes. In 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019 Article 8976963 (2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019; Vol. 2019-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976963

Carbajal, Jhony ; Quispe, Grimaldo ; Chavez-Arias, Heyul et al. / Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes. 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019).

@inproceedings{a42f4057a6eb461987f8612c63e5500f,

title = "Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes",

abstract = "The incidence of the disease in horticultural crops is one of the important problems that affect the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is part of the solution to minimize crop loss. The monitoring of crops by human labor is expensive, time consuming, prone to errors due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design the mobile robot with vision sensors for navigation through the field. The robot has been designed in the Autodesk Inventor software. Programming for navigation is done in the Arduino Mega 2560 tool. Image capture has been performed using the RGB camera. Image processing for the identification of the disease and its representation in a graphical user interface has been performed using an algorithm in MATLAB R2018B that interacts with the Arduino tool through a communication bus. The system developed consists of the design of a prototype that uses simple and cost effective equipment such as Raspberry Pi, RGB camera, two motors and sensors that allow the autonomous fumigation of corn crops.",

keywords = "Raspberry Pi, image processing, pesticide sprayer",

author = "Jhony Carbajal and Grimaldo Quispe and Heyul Chavez-Arias and Carlos Raymundo-Ibanez and Francisco Dominguez",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE Central America and Panama Convention, CONCAPAN 2019 ; Conference date: 20-11-2019 Through 22-11-2019",

year = "2019",

month = nov,

doi = "10.1109/CONCAPANXXXIX47272.2019.8976963",

language = "American English",

series = "2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019",

address = "United States",

}

Carbajal, J, Quispe, G, Chavez-Arias, H, Raymundo-Ibanez, C & Dominguez, F 2019, Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes. in 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019., 8976963, 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019, vol. 2019-November, Institute of Electrical and Electronics Engineers Inc., 39th IEEE Central America and Panama Convention, CONCAPAN 2019, Guatemala City, Guatemala, 20/11/19. https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976963

Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes. / Carbajal, Jhony; Quispe, Grimaldo; Chavez-Arias, Heyul et al.
2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8976963 (2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019; Vol. 2019-November).

Research output: Chapter in Book/Report › Conference contribution › peer-review

TY - GEN

T1 - Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes

AU - Carbajal, Jhony

AU - Quispe, Grimaldo

AU - Chavez-Arias, Heyul

AU - Raymundo-Ibanez, Carlos

AU - Dominguez, Francisco

PY - 2019/11

Y1 - 2019/11

N2 - The incidence of the disease in horticultural crops is one of the important problems that affect the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is part of the solution to minimize crop loss. The monitoring of crops by human labor is expensive, time consuming, prone to errors due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design the mobile robot with vision sensors for navigation through the field. The robot has been designed in the Autodesk Inventor software. Programming for navigation is done in the Arduino Mega 2560 tool. Image capture has been performed using the RGB camera. Image processing for the identification of the disease and its representation in a graphical user interface has been performed using an algorithm in MATLAB R2018B that interacts with the Arduino tool through a communication bus. The system developed consists of the design of a prototype that uses simple and cost effective equipment such as Raspberry Pi, RGB camera, two motors and sensors that allow the autonomous fumigation of corn crops.

AB - The incidence of the disease in horticultural crops is one of the important problems that affect the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is part of the solution to minimize crop loss. The monitoring of crops by human labor is expensive, time consuming, prone to errors due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design the mobile robot with vision sensors for navigation through the field. The robot has been designed in the Autodesk Inventor software. Programming for navigation is done in the Arduino Mega 2560 tool. Image capture has been performed using the RGB camera. Image processing for the identification of the disease and its representation in a graphical user interface has been performed using an algorithm in MATLAB R2018B that interacts with the Arduino tool through a communication bus. The system developed consists of the design of a prototype that uses simple and cost effective equipment such as Raspberry Pi, RGB camera, two motors and sensors that allow the autonomous fumigation of corn crops.

KW - Raspberry Pi

KW - image processing

KW - pesticide sprayer

UR - http://www.scopus.com/inward/record.url?scp=85084959267&partnerID=8YFLogxK

U2 - 10.1109/CONCAPANXXXIX47272.2019.8976963

DO - 10.1109/CONCAPANXXXIX47272.2019.8976963

M3 - Conference contribution

AN - SCOPUS:85084959267

T3 - 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019

BT - 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 39th IEEE Central America and Panama Convention, CONCAPAN 2019

Y2 - 20 November 2019 through 22 November 2019

ER -

Carbajal J, Quispe G, Chavez-Arias H, Raymundo-Ibanez C, Dominguez F. Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes. In 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8976963. (2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019). doi: 10.1109/CONCAPANXXXIX47272.2019.8976963

Mobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andes

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this