Special Session: Agriculture 4.0 and Engineering 4.0 in Agriculture 4.0
Special Session: Agriculture 4.0 and Engineering 4.0 in Agriculture 4.0

We are organizing the International e-Conference on Engineering Researches and Engineering 4.0, ICERE4.0-2023 Conference which will be held on 21-22 September 2023 with the sponsorship of the Science Academy (www.sciencesacademy.org).
Special Session: Agricultural and Agricultur 4.0, Engineering 4.0 in Agriculture 4.0 provides the premier multidisciplinary online forum for researchers, professionals and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of Agricultural and Agriculture 4.0, Engineering 4.0 in Agriculture 4.0.
Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT) and the use of big data to drive greater business efficiencies in the face of rising populations and climate change.
Full papers in Agricultur 4.0 and Engineering 4.0 in Agriculture 4.0 Scopes will be published in Proceedings by Conference Organizing Committee, in JOURNAL OF ENGINEERING RESEARCHES.
Conference Web Site:
https://conferences.sciencesacademy.org/index.php/icere4-2023
The topics of the Journal include, but not limited to, the areas listed below:
AGRICULTURAL TECHNOLOGY and AGRICULTURE 4.0
AGRICULTURE 4.0
- The role of big data
- IoT sensors in field and on livestock
- New technologies in Agriculture
- Improved precision Agriculture
- Crop Production and Plant Breeding
- Plant Protection and Food Safety
- Soil Management
- Family farming
- Sustainable Rural Economy
- Economics of Agrifood System
- Other topics related to Agrofood System
Engineering 4.0 scopes
- Customer Oriented Engineering,
- Interdisciplinary Engineering,
- Production 4.0,
- Quality 4.0,
- Half Life Cycles,
- Halved product lifecycles,
- Data Access
- Smart Tools
Quality 4.0 :
1. Digital tools applied to quality (AI, ML, Predictive Analytics).
2. Excellence for sustainable performance and effective gains.
3. Centralization of Quality Data and Content,
4. E2E QMS
5. Quality Cost Transparency (COPQ)
5. Estimated Quality
6. Supplier Quality and Product Development
7. Biggest challenges or barriers: Lack of digital skills and capabilities, Lack of clear digital strategy, Lack of Quality Culture, Fragmented and/or outdated infrastructure.
8. Biggest success factors: People with Social Skills i.e. creating analytics and communicating business value, influencing teams and experienced change managers.