The Future of Artificial Intelligence in Agriculture

Dear Colleagues,

The world of agriculture is undergoing a profound transformation, which many believe will be as impactful as previous agricultural revolutions. The ability to more precisely monitor crops and control irrigation, fertilization, and treatments at a much finer granularity than before, is enabling the use of land previously not considered for agricultural purposes, optimizing the use of resources and maximizing the health of plants and the yield of crops. Utilizing information retrieval and processing technologies such as blockchain, IoT, machine learning, deep learning, cloud computing, and edge computing is advantageous. Applications of computer vision, machine learning, and IoT will increase the production, quality, and ultimately the profitability of farmers and related industries. Precision learning in the field of agriculture is crucial for increasing the overall harvest yield.

Artificial Intelligence techniques such as deep learning as well as optimization techniques using evolutionary algorithms broaden and extend their application scope. Their application to the agriculture domain is constantly growing. Artificial Intelligence is the current technology that is assisting farmers in minimizing crop losses by providing rich crop-related recommendations and insights.

This Special Issue aims to publish extended versions of papers in the area of Artificial Intelligence. Potential topics include but are not limited to the following:

• Deep learning
• Harvesting
• Machine learning
• Smart agriculture
• Evolutionary Algorithms
• Optimization techniques
• IoT
• Edge Intelligence
• Computer Vision

Dr. Sotirios K. Goudos
Prof. Dr. Shaohua Wan
Dr. Achilles Boursianis
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. AgriEngineering is an international peer-reviewed open access quarterly 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 1600 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.

• deep learning
• harvesting
• machine learning
• smart agriculture
• evolutionary algorithms
• optimization techniques
• IoT
• edge intelligence
• computer vision