VINEROBOT: ON-THE-GO VINEYARD MONITORING WITH NON INVASIVE SENSORS 19th International meeting GiESCO 31 May-5 June2015 – Pech Rouge-Montpellier The aim.

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VINEROBOT: ON-THE-GO VINEYARD MONITORING WITH NON INVASIVE SENSORS 19th International meeting GiESCO 31 May-5 June2015 – Pech Rouge-Montpellier The aim of the VineRobot project is the design, development, and deployment of a novel use-case agricultural robot under the scope of Unmanned Ground Vehicles (UGV), and equipped with several non-invasive sensing technologies to monitor: 1) grapevines’ vegetative growth, 2) nutritional status and 4) grape composition in order to optimize the vineyard management and improve grape composition and wine quality. The integral monitoring of the vineyard over the entire season is intended, by placing the ground robot along the vineyards. Aim Conclusions Maria P. DIAGO 1*, Francisco ROVIRA-MÁS 2, Jose BLASCO 3, Verónica SAIZ-RUBIO 2, Enrico FAENZI 4, Sébastien ÉVAIN 5, Sébastien LABAILS 6, Manfred STOLL 7, Mathias SCHEIDWEILER 7, Christophe MILLOT 8, Esther CAMPOS-GÓMEZ 9, Javier TARDAGUILA 1 1 Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja). Madre de Dios, 51 (26006) Logroño. La Rioja. Spain; 2 Agricultural Robotics Laboratory, Universidad Politécnica de Valencia, Camino de Vera s/n 3F, Valencia 46022, Spain; 3 Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Moncada, Valencia, Spain; 4 SIVIS SRL, Viale Toselli 13, 53100, Siena, Italy; 6 FORCE-A, Centre Universitaire Paris Sud Bât 503, ORSAY Cedex France; 6 Société Coopérative Agricole des Vignerons de Buzet, 56 Avenue des Côtes de Buzet, BP17, Buzet s/Baïse, France; 7 Department of General and Organic Viticulture; Hochschule Geisenheim University (HSGM), D Geisenheim, Germany; 8 WALL-YE SARL, Rue Doyenne 5, 7100, Macon, France; 9 Avanzare Innovacion Tecnologica S.L., Avd. Lentiscares 4-6. Polígono Lentiscares (26370), Navarrete. La Rioja. Spain. *Corresponding author: M.P. Diago, , Fax: , Figure 1. Overall concept of the VineRobot project. The VineRobot project deals with the fields of precision viticulture and robotics and is a novel technological challenge; since it represents a large step forward in agricultural robotics and the application of advanced non- invasive proximal sensing to provide reliable, fast and objective information to state-of-the-art vineyards. Therefore, the robot holds potential for viticulturists and winemakers in making better and more precise management decisions. The work leading to these results has received funding from the European Union under grant agreement nº This project deals with the fields of precision viticulture and robotics and is also a novel technological challenge; since it represents a large step forward in agricultural robotics and the application of advanced non-invasive proximal sensing to provide reliable, fast and objective information to state-of-the-art vineyards. Materials & Methods The work focuses on two working areas: 1. Robot design and construction, and 2. Development of crop sensing units. The first prototype of the VineRobot has been designed, built, and is capable of autonomously navigating the field at ease (see navigation strategy in Figure 2). The work on the bio-sensing capabilities of the robot has progressed in four directions: 1. A vision system based on RGB and IR perception is being developed to identify and track grape berries on-the-go; 2. Fundamental research on NIR spectrometry has been conducted to measure water stress alternatively to thermography and some aspects of grape composition; 3. The FAsense® (ForceA, Orsay, France), a new fluorescence sensor to detect the level of anthocyanins in grapes and 4. To assess the grapevine’s vegetative and nutritional status. Figure 2. Initial navigation strategy for theVineRobot. Results The main potential impact for end-users involves several positive aspects: i) end- users will draw clear economic and environmental advantages from the scouting robot as they will optimize vineyard inputs and management costs; and ii) the fast and versatile display of the crop maps makes the robot a flexible and powerful decision-support tool for making educated decisions based on measurable data. The immediate display of valuable information on the own robot and alternatively on smartphone-like devices remotely operated will promote advanced business operations. Figure 3. Images of the first prototype of the VineRobot.