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Automation of Marginal Grass Harvesting: Operational, Economic, and Environmental Analysis
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Author(s): Paulo Peças (Universidade de Lisboa, Portugal), Gonçalo Manuel Fonseca (Universidade de Lisboa, Portugal), Inês Inês Ribeiro (Universidade de Lisboa, Portugal)and Claus Grøn Sørensen (Aarhus University, Denmark)
Copyright: 2019
Pages: 41
Source title:
Smart Farming Technologies for Sustainable Agricultural Development
Source Author(s)/Editor(s): Ramesh C. Poonia (Amity University Jaipur, India), Xiao-Zhi Gao (University of Eastern Finland, Finland), Linesh Raja (Amity University Jaipur, India), Sugam Sharma (Iowa State University, USA)and Sonali Vyas (Amity University Jaipur, India)
DOI: 10.4018/978-1-5225-5909-2.ch006
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Abstract
In the European Union (EU), the use of fossil fuels brings several disadvantages, as they are the main culprits responsible for pollutants and GHG emissions. The increasing demand for sustainable fuels leads to the research of alternative technologies, such as biogas production from lignocellulosic materials. Therefore, the acquisition of biomass from marginal areas under Danish conditions has been evaluated in terms of alternative harvesting equipment: an automated robot (Grassbot) versus a regular tractor for key grass materials used for biogas plants (chopped, unchopped, and baled grass) and compared regarding operational, economical, and environmental performances. The evaluation uses two operations models (IRIS and DRIFT) to consider the field characteristics, machinery characteristics, etc. Selected results show that in terms of fuel consumption, chopping, and mowing are the most demanding operations, and that there is no significant difference between the harvesting equipment regarding CO2 emissions.
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