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Neural Computing and Applications
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Hybrid

Neural Computing and Applications - Topical Collection on Advances of Deep Learning for Smart Farming

According to the United Nations population projection, the global population could reach approximately 8.5 billion in 2030 and 9.7 billion in 2050. It is anticipated that the population will reach a peak of approximately 10,4 billion people during the 2080s and remain at that level until 2100.

All of this will place agriculture at the center of the global stage. Population growth is anticipated to place demand-side pressure on global agriculture and food production. It is comprehensible. Demand will not be the only obstacle. The climate will continue to be the "X" element in agricultural output.

Will smart farming and related technologies in agriculture help farmers make good decisions?

Smart farming is a management concept that focuses on providing the agricultural business with the infrastructure to harness sophisticated technology, such as big data, the cloud, and the internet of things (IoT), for tracking, monitoring, automating, and analyzing processes. Precision agriculture is another term for precision farming. The combination of the expanding global population, the increasing demand for higher crop yield, the need to use natural resources efficiently, the rising use and sophistication of information and communication technology, and the growing need for climate-smart agriculture is increasing the importance of smart farming.

The objective of this workshop is to encourage and attract research in Internet of Things, Drones, Smart remote sensing, Computer imaging, Data analysis, Machine learning and deep learning in smart farming context.

Typical themes that are expected for contributions to the workshop include (but are not limited to):

  • Precision irrigation
  • Fertilization
  • Irrigation
  • Early disease detection
  • Automation of farmer's tasks
  • IoTbased solutions, robotics and automation for farmers
  • Smart Farming for Food Safety

Guest Editors 

Khouloud Boukadi, Faculty of Economics and Management, Sfax, Tunisia, khouloud.boukadi@fsegs.usf.tn (this opens in a new tab)
Rima Grati, Zayed University, Abu Dhabi, UAE, rima.grati@zu.ac.ae (this opens in a new tab)

Provisional Deadlines

Deadline for submissions:  March 30, 2024
Deadline for review:           June 30, 2024   
Deadline for revised version by authors: July 30, 2024
Deadline for 2nd review:    August 30, 2024
Final decisions:                   September 30, 2024

Submission Guideline

Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/521 (this opens in a new tab). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).

Submitted papers should present original, unpublished work, relevant to one of the topics of the topical collection. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Manuscripts will be subject to a peer reviewing process and must be conform to the author guidelines available on the NCAA website at https://www.springer.com/521 (this opens in a new tab) 

Author Resources

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals.  

Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including  FAQs (this opens in a new tab),  Tutorials (this opens in a new tab)  along with  Help and Support (this opens in a new tab).

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