Projecte matriculat

Títol: CWSI (Crop Water Stress Index) monitoring with thermal imaging

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

Departament: DEAB

Títol: CWSI (Crop Water Stress Index) monitoring with thermal imaging

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, irrigation management, thermal sensors, 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:
CDEI has developed an innovative system that combines computer vision from an RGB camera with thermal imaging from an infrared camera. This device is integrated into an autonomous ground mobile robot that navigates agricultural fields, collecting plant data and sending it to the cloud to create a digital twin of the field.
The primary objective of the project is to estimate the leaf temperature of crops. Using this data along with ambient temperature, the system calculates water stress indices such as the Crop Water Stress Index (CWSI) to predict the plants' water needs and optimize irrigation management. This work will focus on validating the parameters collected by the system and correlating them with the actual condition of the plants. The crops of interest include lettuce, fava beans, brassicas, tomatoes, and fruit trees.

Unique Opportunity:
This project offers a unique chance to work on a real-world project tackling pressing challenges in precision agriculture. It combines theoretical development with practical application, including experimental validation in real crops. You will join a dynamic and multidisciplinary team of professors, engineers, and students specializing in robotics and agriculture, gaining hands-on experience in cutting-edge research and technology development.

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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