Internship : Plant Row Detection with a Neural

il y a 5 jours

MontbonnotSaintMartin, France Inria Temps plein

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat **:Stage

**Niveau de diplôme exigé **:Bac + 3 ou équivalent

**Fonction **:Stagiaire de la recherche

**A propos du centre ou de la direction fonctionnelle**:
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 22 research teams and 7 research support departments.

Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE,), but also with key economic players in the area.

The Centre Inria de l’Université Grenoble Alpe is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.

**Contexte et atouts du poste**:
The agricultural industry is increasingly embracing digital technologies to enhance productivity, manage uncertainties, and adapt to evolving regulatory frameworks. One specific challenge faced by farmers is the need to reduce the use of biocidal products in their production methods. To address the issue of weeds, precision hoeing (mechanical weeding) presents a viable and easily implementable solution. This approach relies on simple equipment, the hoe, coupled to a tractor through a hydraulically shifted support controlled by a camera that detects crop rows.

**Mission confiée**:
**Principales activités**:
To achieve this goal, you will: (1) conduct a comprehensive review of neural network architectures applicable to our problem, and (2) implement a row detection algorithm by adapting and training a state-of-the-art NN architecture with synthetic images.

If the results are positive, your algorithm may be deployed on a low-power ARM-base single board computer and tested on a farm located in Pontcharra.

**Compétences**:

- Currently pursuing a M1 or M2 degree in computer science, electrical engineering, robotics, or a related field.
- Good programming skills in Python, C++ or similar
- Familiarity with computer vision, machine learning and neural networks
- Solid understanding of mathematics, especially linear algebra and statistics.
- Strong problem-solving skills and the ability to work both independently and in a collaborative team environment.
- Excellent communication and presentation skills.

**Avantages**:

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage

**Rémunération**:
Gratification = 4,05€ gross / hour

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