Research and development in agricultural robotics: a perspective of digital farming.
By Redmond R. Shamshiri, Cornelia Weltzien, Ibrahim A. Hameed, Ian Yule, Tony E. Grift, Siva K. Balasundram, Lenka Pitonakova, Desa Ahmad, Girish V. Chowdhary. 2018
502 citations recorded by the source corpus.
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. Keywords: agricultural robotics, precision agriculture, virtual orchards, digital agriculture, simulation software, multi-robots DOI: 10.25165/j.ijabe.20181104.4278 Citation: Shamshiri R R, Weltzien C, Hameed I A, Yule I J, Grift T E, Balasundram S K, et al. Research and development in agricultural robotics: A perspective of digital farming. Int J Agric & Biol Eng, 2018; 11(4): 1–14.
Subfields: Electrical and Electronic Engineering, Plant Science
View Paper: https://www.semanticscholar.org/paper/2b0d90af12f959b29fed9afefe90f54b4e0324cd
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In Electrical and Electronic Engineering
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Citations in the corpus
- Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control (2020, background): “Cooperative manipulation tasks arise in autonomous aerial construction (Augugliaro et al., 2013; 2014), industrial manufacturing (Caccavale & Uchiyama, 2008), and agricultural robotics (Shamshiri et al., 2018) and have so far received comparatively little attention from the deep RL community.”
- Agricultural Robotics for Field Operations (2020, background): “One study reviewed a group of field operations applied only in open arable farming systems [15], while the digital perspective of mainly commercial agricultural robots has been reviewed as well [16].”
- Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead (2021, unknown): “In this sense, there are review works that address the use of robots in agriculture to perform general tasks, as in [15–17], or to improve the performance of specific tasks, such as harvesting high-value crops [18] and solving wheeled mobile robots’ navigation problems [19].”