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Efthymios C. Rodias
Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology—Hellas (CERTH), 10th km Charilaou-Thermi Road, Balkan Centre, 57001 Thermi, Greece

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Review
Published: 30 December 2020 in Energies
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Circular economy is emerging as a regenerative concept that minimizes emissions, relies on renewable energy, and eliminates waste based on the design of closed-loop systems and the reuse of materials and resources. The implementation of circular economy practices in resource-consuming agricultural systems is essential for reducing the environmental ramifications of the currently linear systems. As the renewable segment of circular economy, bioeconomy facilitates the production of renewable biological resources (i.e., biomass) that transform into nutrients, bio-based products, and bioenergy. The use of recycled agro-industrial wastewater in agricultural activities (e.g., irrigation) can further foster the circularity of the bio-based systems. In this context, this paper aims to provide a literature review in the field of circular economy for the agrifood sector to enhance resource efficiency by: (i) minimizing the use of natural resources (e.g., water, energy), (ii) decreasing the use of chemical fertilizers, (iii) utilizing bio-based materials (e.g., agricultural/livestock residues), and (iv) reusing wastewater from agrifood operations. The final objective is to investigate any direct or indirect interactions within the water-energy-nutrients nexus. The derived framework of synergetic circular economy interventions in agriculture can act as a basis for developing circular bio-based business models and creating value-added agrifood products.

ACS Style

Efthymios Rodias; Eirini Aivazidou; Charisios Achillas; Dimitrios Aidonis; Dionysis Bochtis. Water-Energy-Nutrients Synergies in the Agrifood Sector: A Circular Economy Framework. Energies 2020, 14, 159 .

AMA Style

Efthymios Rodias, Eirini Aivazidou, Charisios Achillas, Dimitrios Aidonis, Dionysis Bochtis. Water-Energy-Nutrients Synergies in the Agrifood Sector: A Circular Economy Framework. Energies. 2020; 14 (1):159.

Chicago/Turabian Style

Efthymios Rodias; Eirini Aivazidou; Charisios Achillas; Dimitrios Aidonis; Dionysis Bochtis. 2020. "Water-Energy-Nutrients Synergies in the Agrifood Sector: A Circular Economy Framework." Energies 14, no. 1: 159.

Review
Published: 07 May 2020 in Sensors
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Modern agriculture is related to a revolution that occurred in a large group of technologies (e.g., informatics, sensors, navigation) within the last decades. In crop production systems, there are field operations that are quite labour-intensive either due to their complexity or because of the fact that they are connected to sensitive plants/edible product interaction, or because of the repetitiveness they require throughout a crop production cycle. These are the key factors for the development of agricultural robots. In this paper, a systematic review of the literature has been conducted on research and commercial agricultural robotics used in crop field operations. This study underlined that the most explored robotic systems were related to harvesting and weeding, while the less studied were the disease detection and seeding robots. The optimization and further development of agricultural robotics are vital, and should be evolved by producing faster processing algorithms, better communication between the robotic platforms and the implements, and advanced sensing systems.

ACS Style

Spyros Fountas; Nikos Mylonas; Ioannis Malounas; Efthymios Rodias; Christoph Hellmann Santos; Erik Pekkeriet. Agricultural Robotics for Field Operations. Sensors 2020, 20, 2672 .

AMA Style

Spyros Fountas, Nikos Mylonas, Ioannis Malounas, Efthymios Rodias, Christoph Hellmann Santos, Erik Pekkeriet. Agricultural Robotics for Field Operations. Sensors. 2020; 20 (9):2672.

Chicago/Turabian Style

Spyros Fountas; Nikos Mylonas; Ioannis Malounas; Efthymios Rodias; Christoph Hellmann Santos; Erik Pekkeriet. 2020. "Agricultural Robotics for Field Operations." Sensors 20, no. 9: 2672.

Review
Published: 06 August 2019 in Energies
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Various sources of biomass contribute significantly in energy production globally given a series of constraints in its primary production. Green biomass sources (such as perennial grasses), yellow biomass sources (such as crop residues), and woody biomass sources (such as willow) represent the three pillars in biomass production by crops. In this paper, we conducted a comprehensive review on research studies targeted to advancements at biomass supply-chain management in connection to these three types of biomass sources. A framework that classifies the works in problem-based and methodology-based approaches was followed. Results show the use of modern technological means and tools in current management-related problems. From the review, it is evident that the presented up-to-date trends on biomass supply-chain management and the potential for future advanced approach applications play a crucial role on business and sustainability efficiency of biomass supply chain.

ACS Style

Efthymios Rodias; Remigio Berruto; Dionysis Bochtis; Alessandro Sopegno; Patrizia Busato. Green, Yellow, and Woody Biomass Supply-Chain Management: A Review. Energies 2019, 12, 3020 .

AMA Style

Efthymios Rodias, Remigio Berruto, Dionysis Bochtis, Alessandro Sopegno, Patrizia Busato. Green, Yellow, and Woody Biomass Supply-Chain Management: A Review. Energies. 2019; 12 (15):3020.

Chicago/Turabian Style

Efthymios Rodias; Remigio Berruto; Dionysis Bochtis; Alessandro Sopegno; Patrizia Busato. 2019. "Green, Yellow, and Woody Biomass Supply-Chain Management: A Review." Energies 12, no. 15: 3020.

Journal article
Published: 06 March 2019 in Biosystems Engineering
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There is a variety of crops that may be considered as potential biomass production crops. In order to select the best suitable for cultivation crop for a given area, a number of several factors should be taken into account. During the crop selection process, a common framework should be followed focussing on financial or energy performance. Combining multiple crops and multiple fields for the extraction of the best allocation requires a model to evaluate various and complex factors given a specific objective. This paper studies the maximisation of total energy gained from the biomass production by energy crops, reduced by the energy costs of the production process. The tool calculates the energy balance using multiple crops allocated to multiple fields. Both binary programming and linear programming methods are employed to solve the allocation problem. Each crop is assigned to a field (or a combination of crops are allocated to each field) with the aim of maximising the energy balance provided by the production system. For the demonstration of the tool, a hypothetical case study of three different crops cultivated for a decade (Miscanthus x giganteus, Arundo donax, and Panicum virgatum) and allocated to 40 dispersed fields around a biogas plant in Italy is presented. The objective of the best allocation is the maximisation of energy balance showing that the linear solution is slightly better than the binary one in the basic scenario while focussing on suggesting alternative scenarios that would have an optimal energy balance.

ACS Style

Efthymios C. Rodias; Maria Lampridi; Alessandro Sopegno; Remigio Berruto; George Banias; Dionysis Bochtis; Patrizia Busato. Optimal energy performance on allocating energy crops. Biosystems Engineering 2019, 181, 11 -27.

AMA Style

Efthymios C. Rodias, Maria Lampridi, Alessandro Sopegno, Remigio Berruto, George Banias, Dionysis Bochtis, Patrizia Busato. Optimal energy performance on allocating energy crops. Biosystems Engineering. 2019; 181 ():11-27.

Chicago/Turabian Style

Efthymios C. Rodias; Maria Lampridi; Alessandro Sopegno; Remigio Berruto; George Banias; Dionysis Bochtis; Patrizia Busato. 2019. "Optimal energy performance on allocating energy crops." Biosystems Engineering 181, no. : 11-27.

Journal article
Published: 18 December 2018 in Biosystems Engineering
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Logistics have been used to analyse agricultural operations, such as chemical application, mineral or organic fertilisation and harvesting-handling operations. Recently, due to national or European commitments concerning livestock waste management, this waste is being applied in many crops instead of other mineral fertilisers. The organic fertiliser produced has a high availability although most of the crops it is applied to have strict timeliness issues concerning its application. Here, organic fertilizer (as liquid manure) distribution logistic system is modelled by using a combined simulation and linear programming method. The method applies in certain crops and field areas taking into account specific agronomical, legislation and other constraints with the objective of minimising the optimal annual cost. Given their direct connection with the organic fertiliser distribution, the operations of cultivation and seeding were included. In a basic scenario, the optimal cost was assessed for both crops in total cultivated area of 120 ha. Three modified scenarios are presented. The first regards one more tractor as being available and provides a reduction of 3.8% in the total annual cost in comparison with the basic scenario. In the second and third modified scenarios fields having high nitrogen demand next to the farm are considered with one or two tractors and savings of 2.5% and 6.1%, respectively, compared to the basic scenario are implied. Finally, it was concluded that the effect of distance from the manure production to the location of the fields could reduce costs by 6.5%.

ACS Style

Efthymios C. Rodias; Alessandro Sopegno; Remigio Berruto; Dionysis D. Bochtis; Eugenio Cavallo; Patrizia Busato. A combined simulation and linear programming method for scheduling organic fertiliser application. Biosystems Engineering 2018, 178, 233 -243.

AMA Style

Efthymios C. Rodias, Alessandro Sopegno, Remigio Berruto, Dionysis D. Bochtis, Eugenio Cavallo, Patrizia Busato. A combined simulation and linear programming method for scheduling organic fertiliser application. Biosystems Engineering. 2018; 178 ():233-243.

Chicago/Turabian Style

Efthymios C. Rodias; Alessandro Sopegno; Remigio Berruto; Dionysis D. Bochtis; Eugenio Cavallo; Patrizia Busato. 2018. "A combined simulation and linear programming method for scheduling organic fertiliser application." Biosystems Engineering 178, no. : 233-243.

Journal article
Published: 27 October 2017 in Sustainability
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Various types of sensors technologies, such as machine vision and global positioning system (GPS) have been implemented in navigation of agricultural vehicles. Automated navigation systems have proved the potential for the execution of optimised route plans for field area coverage. This paper presents an assessment of the reduction of the energy requirements derived from the implementation of optimised field area coverage planning. The assessment regards the analysis of the energy requirements and the comparison between the non-optimised and optimised plans for field area coverage in the whole sequence of operations required in two different cropping systems: Miscanthus and Switchgrass production. An algorithmic approach for the simulation of the executed field operations by following both non-optimised and optimised field-work patterns was developed. As a result, the corresponding time requirements were estimated as the basis of the subsequent energy cost analysis. Based on the results, the optimised routes reduce the fuel energy consumption up to 8%, the embodied energy consumption up to 7%, and the total energy consumption from 3% up to 8%.

ACS Style

Efthymios Rodias; Remigio Berruto; Patrizia Busato; Dionysis Bochtis; Claus Grøn Sørensen; Kun Zhou. Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery. Sustainability 2017, 9, 1956 .

AMA Style

Efthymios Rodias, Remigio Berruto, Patrizia Busato, Dionysis Bochtis, Claus Grøn Sørensen, Kun Zhou. Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery. Sustainability. 2017; 9 (11):1956.

Chicago/Turabian Style

Efthymios Rodias; Remigio Berruto; Patrizia Busato; Dionysis Bochtis; Claus Grøn Sørensen; Kun Zhou. 2017. "Energy Savings from Optimised In-Field Route Planning for Agricultural Machinery." Sustainability 9, no. 11: 1956.

Journal article
Published: 22 June 2017 in Energies
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Various crops can be considered as potential bioenergy and biofuel production feedstocks. The selection of the crops to be cultivated for that purpose is based on several factors. For an objective comparison between different crops, a common framework is required to assess their economic or energetic performance. In this paper, a computational tool for the energy cost evaluation of multiple-crop production systems is presented. All the in-field and transport operations are considered, providing a detailed analysis of the energy requirements of the components that contribute to the overall energy consumption. A demonstration scenario is also described. The scenario is based on three selected energy crops, namely Miscanthus, Arundo donax and Switchgrass. The tool can be used as a decision support system for the evaluation of different agronomical practices (such as fertilization and agrochemicals application), machinery systems, and management practices that can be applied in each one of the individual crops within the production system.

ACS Style

Efthymios Rodias; Remigio Berruto; Dionysis Bochtis; Patrizia Busato; Alessandro Sopegno. A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems. Energies 2017, 10, 831 .

AMA Style

Efthymios Rodias, Remigio Berruto, Dionysis Bochtis, Patrizia Busato, Alessandro Sopegno. A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems. Energies. 2017; 10 (7):831.

Chicago/Turabian Style

Efthymios Rodias; Remigio Berruto; Dionysis Bochtis; Patrizia Busato; Alessandro Sopegno. 2017. "A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems." Energies 10, no. 7: 831.

Journal article
Published: 24 May 2016 in Energies
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A computational tool is developed for the estimation of the energy requirements of Miscanthus x giganteus on individual fields that includes a detailed analysis and account of the involved in-field and transport operations. The tool takes into account all the individual involved in-field and transport operations and provides a detailed analysis on the energy requirements of the components that contribute to the energy input. A basic scenario was implemented to demonstrate the capabilities of the tool. Specifically, the variability of the energy requirements as a function of field area and field-storage distance changes was shown. The field-storage distance highly affects the energy requirements resulting in a variation in the efficiency if energy (output/input ratio) from 15.8 up to 23.7 for the targeted cases. Not only the field-distance highly affects the energy requirements but also the biomass transportation system. Based on the presented example, different transportation systems adhering to the same configuration of the production system creates variation in the efficiency of energy (EoE) between 12.9 and 17.5. The presented tool provides individualized results that can be used for the processes of designing or evaluating a specific production system since the outcomes are not based on average norms.

ACS Style

Alessandro Sopegno; Efthymios Rodias; Dionysis Bochtis; Patrizia Busato; Remigio Berruto; Valter Boero; Claus Grøn Sørensen. Model for Energy Analysis of Miscanthus Production and Transportation. Energies 2016, 9, 392 .

AMA Style

Alessandro Sopegno, Efthymios Rodias, Dionysis Bochtis, Patrizia Busato, Remigio Berruto, Valter Boero, Claus Grøn Sørensen. Model for Energy Analysis of Miscanthus Production and Transportation. Energies. 2016; 9 (6):392.

Chicago/Turabian Style

Alessandro Sopegno; Efthymios Rodias; Dionysis Bochtis; Patrizia Busato; Remigio Berruto; Valter Boero; Claus Grøn Sørensen. 2016. "Model for Energy Analysis of Miscanthus Production and Transportation." Energies 9, no. 6: 392.

Journal article
Published: 28 September 2010 in Biosystems Engineering
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This paper presents a targeted approach for the estimation of the operational machinery costs on an annual basis in controlled traffic farming (CTF) systems. The approach combines four sub-models based on existing algorithmic approaches, to evaluate the consequences in terms of machinery performance of different driving directions when establishing tramlines in a CTF system. The first two sub-models refer to the geometrical attributes (overlapped areas, effective and turning travelled distances, coordinates of the tramlines, headland passes, etc.) of the field–machinery combination, while the other two models are related to the execution of material handling operations (i.e., fertilising and harvesting) under the restrictions imposed by the CTF. A case study is presented regarding two fields for a reduced tillage machinery system. Based on the results, it was shown that in the CTF the rule that the driving direction parallel to the longest field edge is the optimal one does not apply. Specifically, in the case of the second field, there is a cost decrease of 9% in terms of annual operational cost when the direction of the tramlines is changed from parallel to the longest edge of the field to parallel to the shortest one. This divergence from the conventional rule is caused by the traffic restrictions imposed by the CTF system and the subsequent differences in the resulting overlapped areas in spraying and seeding, unloading times in harvesting, in-field transport in fertilising, and headland turnings, for each specific driving direction.

ACS Style

D.D. Bochtis; C.G. Sørensen; P. Busato; Ibrahim A. Hameed; E. Rodias; O. Green; G. Papadakis. Tramline establishment in controlled traffic farming based on operational machinery cost. Biosystems Engineering 2010, 107, 221 -231.

AMA Style

D.D. Bochtis, C.G. Sørensen, P. Busato, Ibrahim A. Hameed, E. Rodias, O. Green, G. Papadakis. Tramline establishment in controlled traffic farming based on operational machinery cost. Biosystems Engineering. 2010; 107 (3):221-231.

Chicago/Turabian Style

D.D. Bochtis; C.G. Sørensen; P. Busato; Ibrahim A. Hameed; E. Rodias; O. Green; G. Papadakis. 2010. "Tramline establishment in controlled traffic farming based on operational machinery cost." Biosystems Engineering 107, no. 3: 221-231.