Search results for "Guidage"

showing 3 items of 3 documents

I-Weed Robot : un robot autoguidé pour un désherbage localisé

2013

We present the development of an autonomous robot, called I-Weed Robot (Intelligent Weed Robot), which aims at reducing herbicides in crop fields (maize, sunflower…). Using a high precision positioning signal (RTK) to locate the robot in the field, a Kalman filter and a proportional-integral-derivative controller (PID controller) allows adjusting the orientation and the speed of the robot depending on a predefined trajectory. As for the specific spraying system, a commercial system is used (weedseeker, Trimble) where the plant detection is obtained by an optical sensors just before to spray specifically on them. The performance of the guidance algorithm using numerical simulations (virtual …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencessignal RTK[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyrobotadventicespulvérisation localiséeauto-guidage
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I-Weed robot : un outil pour l'étude de population de plantes adventices

2016

The I-Weed robot is a small autonomous platform that aims to characterize the vegetation in an inter-row maize crop for a spot spraying: spraying is done only where a weed is detected. This article presents how the robot works and aims to experimentally evaluate the ability to map weeds from a WeedSeeker system (Trimble) embedded on the I-Weed robot. The results are compared to those from an imaging system, used as ground truth. After analyzing a confusion matrix, it reveals that the system is able to correctly geotag plants at 75 % and is ready for a spot spraying.

[SDV] Life Sciences [q-bio]spot sprayingplantes adventices[ SDV ] Life Sciences [q-bio]automatic guidance[SDV]Life Sciences [q-bio]weedscartographierobotpulvérisation localiséemappingautoguidage
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L’apprentissage en environnement virtuel : rôle du guidage et du feedback sur la compréhension des écosystèmes forestiers

2021

As part of the E-Fran project, we studied cognitive processes related to learning in order to optimize a virtual reality forest simulator. This thesis work resulted in four experiments involving a test of multimedia learning principles (Mayer, 2009, 2014,2021) in virtual reality, as well as the cognitive mechanisms underlying acquisitions in the forest ecosystem domain. Our first study focused on learning about the decomposition of organic matter with over 100 5th grade students. We created a 3D environment respecting the principle of semantic coherence in order to compare two groups of students who studied either the lesson according to a fixed semantically coherent presentation or the les…

[SHS.PSY] Humanities and Social Sciences/PsychologyCognitionRéalité virtuelleCueingGuidage[SHS.PSY]Humanities and Social Sciences/PsychologyLearningAnimationAnimationsEcosystemVirtual realityApprentissageÉcosystème
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