MCAPEFA
Welcome to the website of the EU Horizon 2020 project (No: 101028085):
Low-cost Multispectral CAmera for PrEcision Farming Application
image from pixabay
About Project
The H2020-MSCA-IF project MCAPEFA is conducting at Remote Sensing Laboratory of the University of Trento. The main goal of EU-funded MCAPEFA project is improving the adoption of precision agriculture in small farms. Small farms share 67% of all farms in the EU, and small farmers need to adopt digital technology to get efficient and resource-friendly sustainable farming. However, the current uptake of this technology is relatively low, mainly due to the high initial cost of the necessary equipment. This research will overcome the financial barrier with the development of a new affordable multispectral camera and accompanying software and services. This infrastructure will for improve adoption of precision farming, which is crucial for maximizing production and quality, the efficiency of nitrogen use and minimizing environmental pollution, especially due to nitrate contamination of drinking water and aquatic ecosystems.
Fact Sheet for MCAPEFA project in the EU’s CORDIS Database.
If you have any questions about project or suggestion write to us.
Where we are?
Remote Sensing Laboratory
Department of Information Engineering and Computer Science
University of Trento
Via Sommarive, 9,
38123 Povo,
Trento, Italy
Team Members
Marko Barjaktarovic, PhD
Individual Fellow
Marko Barjaktarovic is Marie Skłodowska Curie Actions Postdoctoral Fellow at the Remote Sensing in the Department of Information Engineering and Computer Science, University of Trento, with research in the acquisition and analysis of multispectral images. He received his Ph.D. degrees from School of Electrical Engineering, University of Belgrade in 2012, where he is an associate professor. In the field of electrical engineering, he has published 1 book and 36 scientific publications. His teaching and researching areas include sensors technology for measuring non-electrical quantities, real-time image processing especially for machine vision systems, medical image processing, neural networks for MRI image classification. He was included in developing procedures for: diagnosis of damage in the Hand-arm vibration disease; fusion visible image and scintigram for precise topographic localization of tumor.
Prof. Lorenzo Bruzzone
Project supervisor
Prof. Lorenzo Bruzzone is a Full Professor of telecommunications and founder of the Remote Sensing Laboratory in the Department of Information Engineering and Computer Science, University of Trento, Italy. His current research interests are in the areas of remote sensing, radar and SAR, signal processing, machine learning and pattern recognition. He promotes and supervises research on these topics within the frameworks of many national and international projects. He is the author of 247 scientific publications in referred international journals (183 in IEEE journals), more than 310 papers in conference proceedings, and 21 book chapters. Prof. Bruzzone is the co-founder and a member of the Permanent Steering Committee of the IEEE International Workshop on the Analysis of Multi-Temporal Remote-Sensing Images series. He is currently supervising the work of 22 PhD students and 8 Postdocs.
