Where
OSAKA INTERNATIONAL CONVENTION CENTER 5-3-51, Nakanoshima Kita-ku, Osaka 530-0005 JAPAN
When
29th June ~ 2nd July (exact date to be defined)Important dates
| Extended submission deadline: April 12, 2024 |
| Notification of Acceptance: April 30, 2024 |
| Camera ready manuscript due: May 10, 2024 |
About
The global environmental emergency, due to rapid climate change, is having a strong impact on human activities and life. As confirmed by the recent United Nations Conference on Climate Change (COP 28) conference, held at the end of 2023, a clear position can no longer be postponed. Agriculture, as one of the main human activities, is directly involved in meeting the needs of the growing population, it is responsible of around the 70% of total water consumption and has heavy effects on the environment and on the land use, increasing the pollution of natural resources (air, water, soil). Recently, agriculture was addressed by a technology evolution where the new paradigm of Smart Agriculture guided the introduction of technologies such as Internet of Things (IoT), wireless sensor networks, wireless communications, remote monitoring to sustain and make more efficient the agriculture production. Currently, the global environmental emergency solicits a further evolution of Smart Agriculture to provide scientific and technological solutions suitable to make agriculture more resilient to climate changes and to better address the issues related to the protection of natural resources and to the increased food needs. Climate-Smart Agriculture (CSA) can make the intensive production more efficient facing off the shortage of soil and can guide the evolution of agriculture.
This requires an interdisciplinary approach in the context of ICT technologies for different types of applications (smart monitoring, smart water management, agrochemicals applications, disease management, smart harvesting, supply chain management, smart agricultural practices..). For instance, IoT provides the tools for monitoring crops, equipment, vehicles, animals, and resources, and different technologies such as communications technologies, embedded systems, wireless sensor networks, data analytics, cloud/fog computing, Artificial Intelligence are required to collect, manage, share, analyse, and utilize the collected data. Never like before Smart Agriculture, treasuring the technology evolution in the field of Pervasive Computing, IoT, Artificial Intelligence, embedded systems can answer the aforementioned needs, improving the productivity and the environmental sustainability and preserving natural resources (soils, water, and biodiversity). It can drive the evolution of the agriculture and reorienting the focus on the Three Pillars of CSA as stated by the FAO:
- sustainably increasing agricultural productivity and incomes,
- adapting and building resilience to climate change,
- reducing and/or removing greenhouse gas emissions, where possible.
These pillars outline the direction of action regarding the FAO Strategic Framework 2022-2031 based on the Four Betters: better production, better nutrition, a better environment and a better life for all, leaving no one behind.
Call for Papers
Science can play an important role to address the goals of the Smart Agriculture by helping to delay and contain the environmental emergency, to improve food production by making agriculture more efficient and with a lower environmental impact, reducing CO2 emissions and improving the resilience of crops. Technology evolution can provide advanced tools, methods, and systems to support the improvement of the quality of life of human and animals and to protect natural resources and biodiversity.
SmartAgr workshop will investigate the design, realisation and assessment of innovative technological solutions, including new paradigms, methods, systems and tools to ensure the implementation of Smart Agriculture systems and solutions to face off environmental emergency.
The workshop will be an interdisciplinary, multi-national initiative to gather, electrical and telecommunication engineers, computer scientists, agronomists to present new pervasive computing and embedded systems, communication solutions and devices to meet the aforementioned challenges. The workshop will invite and call for participation both representatives of academia and industry across the world interested in discussing on the last evolution of Smart Agriculture to face off the environmental emergency and to reorienting the agriculture evolution. From this point of view the workshop can provide a place where to profitably exchange ideas, present applications and solutions taking advantage from the heterogeneity of the contributors to encourage the cross-fertilization of ideas and competencies.
The papers should address forefront research and development in Smart Agriculture with a particular focus on, but is not limited to, the following topics:
- Pervasive computing and embedded systems solutions enabling Smart Agriculture.
- Artificial intelligence in Smart Agriculture.
- Communications and networking technologies supporting Smart Agriculture systems and solutions.
- New solutions, systems, models, applications to reduce CO2 emissions.
- Technologies and applications to sustainably increase agricultural productivity and resilience to climate changes.
- Technologies and application to preserve natural resources (soil, water, and biodiversity).
Commitees
Organizers and Workshop Chairs
Anna Lina Ruscelli, Gabriele Cecchetti
Scuola Superiore Sant'Anna, Pisa, Italy
Technical Program Committee
- Mohammad Banat, Jordan University of Technology, Irbid, Jordan
- Piero Castoldi, Scuola Superiore Sant’Anna, Pisa, Italy
- Carmelo Di Franco, Aitronik, Italy
- Anna Förster, University of Bremen, Germany
- Anil Kumar Gupta, Centre for Development of Advanced Computing, Pune University Campus, India
- Yining Liu, Guilin University of Electronic Technology, China
- Mukhtar Mohamed Edris Mahmoud, University of Kassala, Sudan and Puntland State University, Galkaio, Somalia
- Federica Matteoli, Food and Agriculture Organization of the United Nations (FAO)
- Joel Onyango, Climate Resilient Economies Programme, African Centre for Technology Studies, Nairobi, Kenya
- Daniele Sarri, University of Florence, Italy
- Ana Paula Silva, Instituto Politécnico de Castelo Branco - Escola Superior de Tecnologia, Portugal
- Nicola Silvestri, University of Pisa, Italy
- Lina Stankovic, University of Strathclyde, United Kingdom
Registration
Each accepted workshop paper requires a full SMARTCOMP registration (registration for workshops only is not available), at the following link Full SMARTCOMP registration
Program
| Osaka time (GMT+9) | Description |
|---|---|
| 08:10 - 08:45 | Venue will open + breakfast |
| 08:45 - 09:45 | Keynote lecture (common to all workshops) |
| 09:45 - 10:15 | Coffe break |
| 10:15 - 10:25 | Welcome from the Chairs Chair: Gabriele Cecchetti (Scuola Superiore Sant'Anna, Italy) |
| 10:25 - 11:05 | Session 1: Exploring Artificial Intelligence applications in Smart Agriculture Chair: Gabriele Cecchetti (Scuola Superiore Sant'Anna, Italy) |
| 10:25 - 10:45 | Automated Visual Quality Detection for Tilapia Using MobilenetV2 Convolutional Neural Network Israel F. Breta, Karl Adriane D.C. Catalan, Sev Kristian M. Constantino, Ralph Adrian R. Mones and Edward D. Bustillos (Adamson University, Philippines) |
| 10:45 - 11:05 | Early Identification of Oil Palm Health based on UAV images using Feature-Based Machine Learning Chang Yi Lee, Tay Lee Choo, Weng Chun Tan, Weng Kin Lai (Tunku Abdul Rahman University of Management and Technology, Malaysia), Sheng Siang Lee (Aonic, Malaysia) |
| 11:05 - 12:00 | Session 2: Advanced ICT for Smart Agriculture Chair: Edward D. Bustillos (Adamson University, Philippines) |
| 11:05 - 11:25 | A Smart Sensor-based Watering Automation System for Nursery plants Gabriele Cecchetti and Anna Lina Ruscelli (Scuola Superiore Sant'Anna, Italy) |
| 11:25 - 11:45 | Boosting Farm Efficiency: An Ant Colony Optimization Approach to Smart Agriculture Weng Kin Lai and Tay Lee Choo (Tunku Abdul Rahman University of Management and Technology, Malaysia), |
| 12:15 - 13:15 | Launch break |
| 13:15 - 14:00 | Session 3: Sustainable Agriculture Chair: Gabriele Cecchetti (Scuola Superiore Sant'Anna, Italy) |
| 13:15 - 13:35 | Farm households food security status automation through supervised learning approach: a look at agroecological farms Théodore Nikiema (Institut de Mathématiques et de Sciences Physiques, Benin); Pamela G. Katic (University of Greenwich, United Kingdom (Great Britain)); Eugène C. Ezin (Institut de Formation et de Recherche en Informatique (IFRI), Benin); Sylvain Kpenavoun Chogou (University of Abomey Calavi, Benin) |
| 13:35 - 13:55 | Categorizing farms to promote agroecology: a supervised learning approach Théodore Nikiema (Institut de Mathématiques et de Sciences Physiques, Benin); Eugène C. Ezin (Institut de Formation et de Recherche en Informatique (IFRI), Benin); Sylvain Kpenavoun Chogou (University of Abomey Calavi, Benin) |
Venue
OSAKA INTERNATIONAL CONVENTION CENTER 5-3-51, Nakanoshima Kita-ku, Osaka 530-0005 JAPAN Tel：06-4803-5555
SmartAgr 2024 workshop is held in conjuction with SMARTCOMP 2024 conference and will be held at OSAKA INTERNATIONAL CONVENTION CENTER, Osaka, Japan.