Fleets of robots for environmentally-safe pest control in agriculture |
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Authors: | Pablo Gonzalez-de-Santos Angela Ribeiro Cesar Fernandez-Quintanilla Francisca Lopez-Granados Michael Brandstoetter Slobodanka Tomic Stefania Pedrazzi Andrea Peruzzi Gonzalo Pajares George Kaplanis Manuel Perez-Ruiz Constantino Valero Jaime del Cerro Marco Vieri Gilles Rabatel Benoit Debilde |
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Institution: | 1.Center for Automation and Robotics,UPM-CSIC,Madrid,Spain;2.Institute of Agricultural Sciences,CSIC,Madrid,Spain;3.Institute for Sustainable Agriculture,CSIC,Córdoba,Spain;4.CogVis Software and Consulting GmbH,Vienna,Austria;5.FTW Forschungszentrum Telekommunikation Wien GMBH,Vienna,Austria;6.Cyberbotics SARL,Lausanne,Switzerland;7.Universita di Pisa,Pisa,Italy;8.Universidad Complutense de Madrid,Madrid,Spain;9.Tropical S.A.,Athens,Greece;10.University of Seville,Seville,Spain;11.Escuela Tecnica Superior de Ingenieros Agronomos,Technical University of Madrid,Madrid,Spain;12.Escuela Tecnica Superior de Ingenieros Industriales,Technical University of Madrid,Madrid,Spain;13.Universita Degli Studi di Firenze,Florence,Italy;14.Institut National de Recherche en Sciences et Technologies pour l’Environnement et l’Agriculture,Montpellier,France;15.Case New Holland Industrial,Zedelgem,Belgium |
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Abstract: | Feeding the growing global population requires an annual increase in food production. This requirement suggests an increase in the use of pesticides, which represents an unsustainable chemical load for the environment. To reduce pesticide input and preserve the environment while maintaining the necessary level of food production, the efficiency of relevant processes must be drastically improved. Within this context, this research strived to design, develop, test and assess a new generation of automatic and robotic systems for effective weed and pest control aimed at diminishing the use of agricultural chemical inputs, increasing crop quality and improving the health and safety of production operators. To achieve this overall objective, a fleet of heterogeneous ground and aerial robots was developed and equipped with innovative sensors, enhanced end-effectors and improved decision control algorithms to cover a large variety of agricultural situations. This article describes the scientific and technical objectives, challenges and outcomes achieved in three common crops. |
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