Projecte ofert

Títol: Evaluating NDVI Sensor-Based Monitoring for Crop Health in Robotic Applications

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Per assignar-vos el projecte us heu de dirigir al tutor/a o cotutor/a perquè us l'assigni.

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Tutor/a o Cotutor/a: SALCEDO CIDONCHA, RAMON

Departament: DEAB

Títol: Evaluating NDVI Sensor-Based Monitoring for Crop Health in Robotic Applications

Data inici oferta: 07-01-2025      Data finalització oferta: 07-09-2025

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Estudis d'assignació del projecte:

MU MKET4FOOD+BIO
MU TECH4AGRI+FOOD

Lloc de realització:

UPC      Departament/centre: EEABB-CDEI

Segon tutor/a (UPC): CABALLERO FLORES, DAVID

Paraules clau:
Robotics, NDVI monitoring, crop health, precision agriculture

Descripció del contingut i pla d'activitats:
Introduction:
The CDEI-UPC is a technological innovation center at the Universitat Politècnica de Catalunya (UPC), specializing in machinery engineering, applied research, and technology transfer. Its main research lines focus on mobile robotics, with a particular emphasis on agricultural and construction applications. Furthermore, EEABB is one of the UPC schools dedicated to promoting education and innovation in agri-food systems and environmental sustainability. The shared interest in applying robotics and technology to agricultural challenges offers a unique opportunity to create synergies between the two centres to advance precision agriculture and sustainable agriculture.

Project Description and objectives:
This project focuses on the integration of an NDVI sensor into an autonomous ground mobile robot for crop monitoring. The sensor collects essential data on plant health to support precision agriculture practices. The works offered for this project can address multiple research lines, including:
1) Correlation analysis: Investigating the relationship between parameters measured by the NDVI sensor (NDVI, 3DNDVI, SAVI, NIR, etc.) and the actual health condition of the plants;
2) Complementary stress indicators: Exploring how NDVI-derived data can complement water stress indices obtained from other sensors, such as thermal imaging;
3) Sensor robustness and reliability: Evaluating the variability and reliability of NDVI measurements across different growth stages, plant sizes, crop conditions, and environmental factors, including variations in sensor angle and inclination. This includes assessing whether NDVI is a consistent and reliable indicator for comparing health states within the same field. This study will be applied to crops such as lettuce, fava beans, brassicas, tomatoes, and fruit trees.

Unique opportunity:
This TFE provides an opportunity to contribute to real-world advancements in agricultural robotics and precision farming. The work blends theoretical research with practical validation, involving hands-on experimentation with robotic platforms and sensor technology. By joining this project, you will work alongside a dynamic and multidisciplinary team of professors, engineers, and students, tackling relevant challenges in crop health monitoring with cutting-edge methodologies.

Orientació a l'estudiant: Any doubts or questions will be promptly clarified by professors David Caballero and Ramon Salcedo. We are looking for a motivated individual willing to work hard and eager to learn

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