International Workshop on Remote Sensing for Precision Agriculture (ReSPA)
To be held at 5th International Conference on Industrial IoT Technologies and Applications
December 1-3 2021, Valencia, Spain

Workshop Chairs

David Mostaza, Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario, Spain
Francisco Carreño, Universidad Rey Juan Carlos, Spain


Remote Sensing is an emerging technology in the agricultural sector. Farmers throughout the world are constantly searching for ways to maximize their returns and improve their harvests. Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS) may provide the technologies needed for farmers to amplify the financial and ecological advantages in the framework of Precision Agriculture (PA). Since the Industrial Revolution, agriculture practices in developed countries have tended to Support greater energy inputs and to increase the application of chemicals and fertilizers. These practices have negative social and environmental implications such as soil erosion and salinization, loss of soil fertility, compaction of subsoils and soil or water pollution. Therefore, we need a shift toward a new production method that ensures safe and sustainable agriculture. However, most farmers do not have the skills or benefits to apply these technologies properly and effectively. PA is an emerging farm management strategy that is changing the way farmers cultivate. There are numerous technologies to make agricultural products safer, as long as to lower their adverse impacts on the environment. A goal that is quite consistent with sustainable agriculture. Applications can be based on weed detection, crop coverage estimation, health monitoring, yield estimation, diseases detection or any other process to assess, improve or monitor the crop or plantation of interest. Systems can rely on image post-processing or on-board low-cost immediate image processing. This workshop focuses on the application of remote sensing images and techniques in PA, and includes image gathering from satellites, UAVs, multispectral and thermal cameras or any other kind of imaging system. With the goal set on achieving an affordable and accessible framework for the farmers.


Particular topics of interest include:
• Remote sensing in precision agriculture
• Vegetation indexes
• Thermal image processing
• Weed detection
• Water management and improvement for precision agriculture
• Digital farming
• Remote Sensing for crops and fruits monitoring and precision agriculture
• Integration of unmanned aerial vehicles in systems for precision agriculture

• Design, calibration, and adaptation of optical sensor for precision agriculture
• Combination of remote sensing with wireless sensor networks for enhanced precision
• Artificial Intelligence for decision making in precision agriculture based on remote sensing
• Challenges related to diversity of crops (such as intercropping or cover crops) in crop

Submit paper to this workshop

Important datesUpdates!

Paper submission: 6 October 2021

Notification deadline: 7 November 2021

Camera Ready: 21 November 2021

Accepted and presented technical papers will be submitted for publication by Springer and made available through SpringerLink Digital Library. Workshop Papers will be published as a part of the (EAI IndustrialIoT 2021) Conference Proceedings. Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

We invite workshop participation through contributions that respond to one or more of the mentioned research questions in 12-15 pages. Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

Technical Program Committee of the Workshop

José F. Marín, Area Verde, Spain
Pedro V. Mauri, Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario
Lorena Parra, Universitat Politecnica Valencia, Spain
David Rivas, Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales – CEIGRAM de la Universidad Politécnica de Madrid, Spain
Albert Blanco, Tragsatec, Spain