Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment

To address the problems of inefficient agricultural production and labor shortages, there has been active research to develop autonomously driven agricultural machines, using advanced sensors and ICT technology. Autonomously driven speed sprayers can also reduce accidents such as the pesticide poiso...

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Main Authors: Joong-hee Han, Chi-ho Park, Young Yoon Jang, Ja Duck Gu, Chan Young Kim
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/1/114
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author Joong-hee Han
Chi-ho Park
Young Yoon Jang
Ja Duck Gu
Chan Young Kim
author_facet Joong-hee Han
Chi-ho Park
Young Yoon Jang
Ja Duck Gu
Chan Young Kim
author_sort Joong-hee Han
collection DOAJ
description To address the problems of inefficient agricultural production and labor shortages, there has been active research to develop autonomously driven agricultural machines, using advanced sensors and ICT technology. Autonomously driven speed sprayers can also reduce accidents such as the pesticide poisoning of farmers, and vehicle overturn that frequently occur during spraying work in orchards. To develop a commercial, autonomously driven speed sprayer, we developed a prototype of an autonomously driven agricultural vehicle, and conducted performance evaluations in an orchard environment. A prototype of the agricultural vehicle was created using a rubber-tracked vehicle equipped with two AC motors. A prototype of the autonomous driving hardware consisted of a GNSS module, a motion sensor, an embedded board, and an LTE module, and it was made for less than $1000. Additional software, including a sensor fusion algorithm for positioning and a path-tracking algorithm for autonomous driving, were implemented. Then, the performance of the autonomous driving agricultural vehicle was evaluated based on two trajectories in an apple farm. The results of the field test determined the RMS, and the maximums of the path-following errors were 0.10 m, 0.34 m, respectively.
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spelling doaj.art-4a8d3c2b4fe54cf582b46534672da35b2023-11-23T12:17:04ZengMDPI AGSensors1424-82202021-12-0122111410.3390/s22010114Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard EnvironmentJoong-hee Han0Chi-ho Park1Young Yoon Jang2Ja Duck Gu3Chan Young Kim4Division of Electronics & Information System, DGIST (Daegu Gyeongbuk Institute of Science and Technology), Daegu 42988, KoreaDivision of Electronics & Information System, DGIST (Daegu Gyeongbuk Institute of Science and Technology), Daegu 42988, KoreaSungboo IND Ltd., Chilgok 39909, KoreaH&I (Human & Information), Uiwang 16009, KoreaH&I (Human & Information), Uiwang 16009, KoreaTo address the problems of inefficient agricultural production and labor shortages, there has been active research to develop autonomously driven agricultural machines, using advanced sensors and ICT technology. Autonomously driven speed sprayers can also reduce accidents such as the pesticide poisoning of farmers, and vehicle overturn that frequently occur during spraying work in orchards. To develop a commercial, autonomously driven speed sprayer, we developed a prototype of an autonomously driven agricultural vehicle, and conducted performance evaluations in an orchard environment. A prototype of the agricultural vehicle was created using a rubber-tracked vehicle equipped with two AC motors. A prototype of the autonomous driving hardware consisted of a GNSS module, a motion sensor, an embedded board, and an LTE module, and it was made for less than $1000. Additional software, including a sensor fusion algorithm for positioning and a path-tracking algorithm for autonomous driving, were implemented. Then, the performance of the autonomous driving agricultural vehicle was evaluated based on two trajectories in an apple farm. The results of the field test determined the RMS, and the maximums of the path-following errors were 0.10 m, 0.34 m, respectively.https://www.mdpi.com/1424-8220/22/1/114autonomous drivingagricultural vehiclesensor fusionGNSSmotion sensor
spellingShingle Joong-hee Han
Chi-ho Park
Young Yoon Jang
Ja Duck Gu
Chan Young Kim
Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
Sensors
autonomous driving
agricultural vehicle
sensor fusion
GNSS
motion sensor
title Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
title_full Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
title_fullStr Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
title_full_unstemmed Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
title_short Performance Evaluation of an Autonomously Driven Agricultural Vehicle in an Orchard Environment
title_sort performance evaluation of an autonomously driven agricultural vehicle in an orchard environment
topic autonomous driving
agricultural vehicle
sensor fusion
GNSS
motion sensor
url https://www.mdpi.com/1424-8220/22/1/114
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