Distributed Multi-Level Supervision to Effectively Monitor  the Operations of a Fleet of Autonomous Vehicles in Agricultural Tasks

Conesa-Muñoz, Jesús; González-de-Soto, Mariano; Santos, P. González de; Ribeiro, Ángela

doi:10.3390/s150305402

Cited by 36 publications

(17 citation statements)

References 31 publications

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“…After generating the mission, the base station sent both plans to the robot controller and executed them. When the robot was working, the base station was responsible for supervising the status of both the robot and implement in real time and detecting malfunctions, such as service disruptions, incorrect working speeds, incorrect implement statuses and the probability of collisions [15].…”

Section: Agricultural Robots -Fundamentals and Applicationsmentioning

confidence: 99%

Hybrid-Powered Autonomous Robots for Reducing Both Fuel Consumption and Pollution in Precision Agriculture Tasks

González-de-Soto¹,

Emmi²,

Santos³

2019

Agricultural Robots - Fundamentals and Applications

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Environmental contamination and the resulting climate change are major concerns worldwide. Agricultural vehicles that use fossil fuels emit significant amounts of atmospheric pollutants. Thus, this study investigates techniques to reduce fuel consumption in robotic vehicles used for agricultural tasks and therefore reduce atmospheric emissions from these automated systems. A hybrid energy system for autonomous robots devoted to weed and pest control in agriculture is modeled and evaluated, and its exhaust emissions are compared with those of an internal combustion engine-powered system. Agricultural implements require power for hydraulic pumps and fans; this energy is conventionally provided by power take-off (PTO) systems, which waste substantial amounts of energy. In this work, we examine a solution by designing and assessing a hybrid energy system that omits the alternators from the original vehicle and modifies the agricultural implements to replace the PTO power with electrical power. The hybrid energy system uses the original combustion engine of the tractor in combination with a new electrical energy system based on a hydrogen fuel cell. We analyze and compare the exhaust gases resulting from the use of (1) an internal combustion engine as the single power source and (2) the hybrid energy system. The results demonstrate that the hybrid energy system reduced emissions by up to approximately 50%.

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Section: Agricultural Robots -Fundamentals and Applicationsmentioning

confidence: 99%

Hybrid-Powered Autonomous Robots for Reducing Both Fuel Consumption and Pollution in Precision Agriculture Tasks

González-de-Soto¹,

Emmi²,

Santos³

2019

Agricultural Robots - Fundamentals and Applications

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“…The weight of agricultural machines has increased for decades, leading to compaction and damage to soil structure (Schjønning et al, 2015). Emerging mitigation measures include decision-support systems that optimize field traffic corresponding to site characteristics (Han, Steward, & Tang, 2015) and smaller, autonomous machines (e.g., Conesa-Muñoz, Gonzalez-de-Soto, Gonzalez-de-Santos, & Ribeiro, 2015;ecoRobotix Ltd., 2016); however, their future adoption is associated with numerous uncertainties.…”

Section: Agricultural Soil Management and Its Driving Forcesmentioning

confidence: 99%

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

et al. 2018

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Bioeconomy strategies have been adopted in many countries around the world. Their sustainable implementation requires a management of soils that maintains soil functions and avoids land degradation. Only then, ecosystem services can be maintained and resources used efficiently. We present an analytical framework for impact assessment that links policy and technology driving forces for soil management decisions to soil processes, soil functional changes, and their impacts on ecosystem services and resource use efficiency, both being targets that have been set by society and are anchored in bioeconomy policy strategies and sustainable development goals. Although the resource use efficiency concept has a long-term tradition, most studies of agricultural management do not address the role of soils in their efficiency assessment. The concept of ecosystem services has received increasing attention over the last years; however, its link to soil functions and soil management practices is still not well established. This study is the first to conceptually link the socioeconomic processes of external drivers for soil management with the natural processes of soil functions and connect them back to impacts on the social system. Application of the framework helps strengthen the science-policy interface and to systemically assess and compare the opportunities and threats of soil management practices from the perspective of goals set by society at different spatial and temporal scales. Insights gained in this way can be applied in stakeholder decisionmaking processes and used to inform the design of governance instruments aimed at sustainable soil management within a bioeconomy. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Automated steering systems are widely used in northeastand northwest China nowadays. To realize flow-shop scheduling precisely [8][9][10][11] for machinery fleet with multiple operations and multiple machinery, it is necessary to share guidance lines within the machinery in real time. Since different farm machinery operations probably have different implement width or swath, the spacing of guidance lines may differ from each other.…”

Section: Introductionmentioning

confidence: 99%

Auto-steering based precise coordination method for in-field multi-operation of farm machinery

Wang¹,

Zhu²,

Chen³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Multi-operation within a field and multi-machinery within a machinery operation are common in the scene of scaled farm machinery service, especially with soaring usage of automated steering system in small and medium machinery cooperatives. The object of this study was to explore a precise and efficient in-field coordination method to realize flow-shop scheduling for farm machinery fleet equipped with RTK-GNSS based auto-steering system. The new method is based on three-dimensional coordinate system (XYZ), within which the concept of field, operation strip, and operation task were defined. Under this concept framework, the operation strip state was further defined and its updating algorithm was designed, which can be used for optimization simulations and experiments. To evaluate the method, the waiting time between simulation and a real-world case was compared, and one cloud based prototype system was developed to demonstrate the practicability in the field by using NX200+ automated steering system. The simulations showed that the in-field coordination can shorten the waiting time between two adjacent operations. The waiting time between rotary hoeing and seeding can be shortened from 4 h to 6.3 min. The field experiment showed that the prototype system could keep good consistency of ridges for a fleet by sharing the guidance line.

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Distributed Multi-Level Supervision to Effectively Monitor the Operations of a Fleet of Autonomous Vehicles in Agricultural Tasks

Cited by 36 publications

References 31 publications

Hybrid-Powered Autonomous Robots for Reducing Both Fuel Consumption and Pollution in Precision Agriculture Tasks

Hybrid-Powered Autonomous Robots for Reducing Both Fuel Consumption and Pollution in Precision Agriculture Tasks

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

Auto-steering based precise coordination method for in-field multi-operation of farm machinery

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