Robotics for a sustainable precision agriculture

2^nd International Conference on Robotics and Artificial Intelligence

May 23-24, 2019 | Vienna, Austria

Gerassimos Peteinatos

University of Hohenheim, Germany

ScientificTracks Abstracts: JET

Abstract

The irruption of Information and Communication Technologies in agriculture has provided new tools, enabling the more regular and rational distribution of efforts and inputs. This leaded into the current farm management systems and crop management strategies, that take into account the temporal and spatial variability of the crop. This irruption of new digital technologies, known as Agriculture 4.0 incorporated within Precision Agriculture, can revolutionize agriculture and herald the dawn of a more autonomous and stable agricultural world. A pallet of different applications can utilize this novel technologies, for example in plant breeding, nutritional assistance or pest management. A pest monitoring system and the equivalent localized treatment applicator can be conceived as a complex artificial system consisting of (1) perception (sensors) for detection and 3D modeling of natural structures, focusing on values of importance and interest. (2) Decision making (processing) for the elaboration of an action plan that monetizes the parameters of interest extracted from the models into treatment decisions, always taking into consideration the perceived and established objectives. (3) Actuation (actuators): implementation of the treatment plan, closing the perception-decision - actuation loop through the control and development of intelligent tools. The integration of perception systems for the detection and control of action devices for treatment on autonomous mobile platforms will allow a more exhaustive, and therefore effective, pest treatment, as well as being more precise and safe both for the agri-food chain and the environment. This general approach is the basis for agricultural robotics.

Biography

Gerassimos Peteinatos is working into the development and implementation of sensors and sensor systems in Precision Agriculture. He has a Master and Diploma in Agriculture Engineering from the Agricultural University of Athens and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens.

E-mail: g.peteinatos@uni-hohenheim.de

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