Research and development in agricultural robotics: a perspective of digital farming

Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous w...

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Main Authors: Shamshiri, Ramin, Weltzien, Cornelia, A. Hameed, Ibrahim, Yule, Ian J., Grift, Tony E., Balasundram, Siva Kumar, Pitonakova, Lenka, Ahmad, Desa, Chowdhary, Girish
Format: Article
Language:English
Published: Chinese Society of Agricultural Engineering 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73772/1/ROBOTIC.pdf
http://psasir.upm.edu.my/id/eprint/73772/
https://ijabe.org/index.php/ijabe/article/view/4278/0
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spelling my.upm.eprints.737722021-07-15T23:30:21Z http://psasir.upm.edu.my/id/eprint/73772/ Research and development in agricultural robotics: a perspective of digital farming Shamshiri, Ramin Weltzien, Cornelia A. Hameed, Ibrahim Yule, Ian J. Grift, Tony E. Balasundram, Siva Kumar Pitonakova, Lenka Ahmad, Desa Chowdhary, Girish Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification,task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future. Chinese Society of Agricultural Engineering 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73772/1/ROBOTIC.pdf Shamshiri, Ramin and Weltzien, Cornelia and A. Hameed, Ibrahim and Yule, Ian J. and Grift, Tony E. and Balasundram, Siva Kumar and Pitonakova, Lenka and Ahmad, Desa and Chowdhary, Girish (2018) Research and development in agricultural robotics: a perspective of digital farming. International Journal of Agricultural and Biological Engineering, 11 (4). pp. 1-14. ISSN 1934-6344; ESSN: 1934-6352 https://ijabe.org/index.php/ijabe/article/view/4278/0 10.25165/j.ijabe.20181104.4278
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification,task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. The concepts of multi-robots, human-robot collaboration, and environment reconstruction from aerial images and ground-based sensors for the creation of virtual farms were highlighted as some of the gateways of digital farming. It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information. For the case of robotic harvesting, an autonomous framework with several simple axis manipulators can be faster and more efficient than the currently adapted professional expensive manipulators. While robots are becoming the inseparable parts of the modern farms, our conclusion is that it is not realistic to expect an entirely automated farming system in the future.
format Article
author Shamshiri, Ramin
Weltzien, Cornelia
A. Hameed, Ibrahim
Yule, Ian J.
Grift, Tony E.
Balasundram, Siva Kumar
Pitonakova, Lenka
Ahmad, Desa
Chowdhary, Girish
spellingShingle Shamshiri, Ramin
Weltzien, Cornelia
A. Hameed, Ibrahim
Yule, Ian J.
Grift, Tony E.
Balasundram, Siva Kumar
Pitonakova, Lenka
Ahmad, Desa
Chowdhary, Girish
Research and development in agricultural robotics: a perspective of digital farming
author_facet Shamshiri, Ramin
Weltzien, Cornelia
A. Hameed, Ibrahim
Yule, Ian J.
Grift, Tony E.
Balasundram, Siva Kumar
Pitonakova, Lenka
Ahmad, Desa
Chowdhary, Girish
author_sort Shamshiri, Ramin
title Research and development in agricultural robotics: a perspective of digital farming
title_short Research and development in agricultural robotics: a perspective of digital farming
title_full Research and development in agricultural robotics: a perspective of digital farming
title_fullStr Research and development in agricultural robotics: a perspective of digital farming
title_full_unstemmed Research and development in agricultural robotics: a perspective of digital farming
title_sort research and development in agricultural robotics: a perspective of digital farming
publisher Chinese Society of Agricultural Engineering
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/73772/1/ROBOTIC.pdf
http://psasir.upm.edu.my/id/eprint/73772/
https://ijabe.org/index.php/ijabe/article/view/4278/0
_version_ 1706958782490214400
score 13.209306