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Accelerating Beyond Traditional Farming through Exceptional Approaches of AI and IoT

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 7626

Special Issue Editors

Artificial Intelligence, Machine Learning and Robotics research group (AIMLR), School of Computing, DIT University, Dehradun, India
Interests: machine learning; database management system; data mining & data warehouse; computer networks; operating system
Special Issues, Collections and Topics in MDPI journals
1. BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
2. Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
3. Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Interests: artificial intelligence; smart cities; smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The swift hike in global population and urbanization has diversified consumption habits and created a need for the adoption of smart technologies beyond traditional farming. The endorsement of computer vision and deep learning has automated the traditional process of farming and coined the term ‘smart agriculture’, the smart connected agricultural technologies embedded with AI, machine learning, and IoT having transformed the scenario of agriculture in a prominent way. The brisk advancement in video surveillance systems automated by AI has enabled the protection of fields from animal breaches, and the merger of IoT with artificial intelligence has improved the prediction analysis of crop yield by capturing data using real-time sensors and aerial imaging with the use of drones.

Infrared cameras capture data through drones and combine them with sensors installed on the ground for the competent prediction and identification of pest infection and control; thus, making it clear that artificial intelligence promotes better decision making and precision agriculture powered by AI, forthcoming as the next big development in the field of agriculture, at the same time paving the way for the third green revolution through smart farming and IoT-driven agriculture. The pandemic has accelerated traceability adoption across all agricultural supply chains in 2020, and will continue to drive its adoption. The inventory shrinkage can be controlled by a well-managed track-and-trace system providing a greater visibility and control across supply chains powered by artificial intelligence, with the optimization and application of biodegradable pesticides only to affected fields being one of the prominent AI applications having significantly reduced costs.

This Special Issue invites individuals to submit original quality work regarding the domain of emerging technologies transforming traditional agriculture, and urges to highlight the important sub-disciplines within, but not limited to, the following topics:

  • Expert systems in agriculture;
  • Smart agriculture and precision farming with AI;
  • Crop yield prediction using IOT and AI;
  • Precision irrigation and waste reduction;
  • Livestock tracking with machine learning;
  • Supply chain optimization with AI and IOT;
  • Tailor-made IOT devices and solution;
  • Crop health monitoring and smart spraying;
  • Optimal mixing of pesticides using supervised learning;
  • Optimization of irrigation system with AI;
  • AI-powered fertilizer recommendation system;
  • Soil monitoring and management with AI.

Dr. Amit Kumar Mishra
Dr. Alfonso González-Briones
Prof. Dr. Juan M. Corchado
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Review

22 pages, 2169 KiB  
Review
Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
Sensors 2023, 23(7), 3752; https://doi.org/10.3390/s23073752 - 05 Apr 2023
Cited by 15 | Viewed by 6469
Abstract
As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT [...] Read more.
As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture scenario by addressing numerous challenges, including pest management and post-harvest management issues. Although AIoT is an essential driving force for smart agriculture, there are still some barriers that must be overcome. In this paper, a systematic literature review of AIoT is presented to highlight the current progress, its applications, and its advantages. The AIoT concept, from smart devices in IoT systems to the adoption of AI techniques, is discussed. The increasing trend in article publication regarding to AIoT topics is presented based on a database search process. Lastly, the challenges to the adoption of AIoT technology in modern agriculture are also discussed. Full article
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