RESTful economic-ADS model for cost-effective chain-wide traceability system-based cloud computing

Kravenkit, Satit; Arch-int, Somjit

doi:10.1016/j.compag.2017.05.015

Cited by 5 publications

(1 citation statement)

References 32 publications

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“…Implementation of digital farming practices result in a sustainable, efficient, and stable production with a significant increase in yield. Some of the technologies involved in digital farming include the Internet of Thing [180] , big data analysis [181] , smart sensors [182] , GPS and GIS, ICT [183] , wireless sensor networks [184,185] , UAV [186][187][188] , cloud computing [189][190][191] , simulation software [192][193][194][195] , mapping applications [196,197] , virtual farms [198][199][200] , mobile devices [201][202][203][204] , and robotics. A conceptual illustrating of digital farming and its relationship with agricultural robotics is provided in Figure 6, showing that the collected data by the robot agents are sent to a cloud advisory center for decision makings.…”

Section: Agricultural Robotics and Digital Farmingmentioning

confidence: 99%

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

Shamshiri¹,

Weltzien²,

Hameed³

et al. 2018

International Journal of Agricultural and Biological Engineering

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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.

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