Artificial Intelligence in Precision Agriculture: Applications in Crop Management
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Artificial Intelligence and Digital Agriculture".
Deadline for manuscript submissions: 10 April 2026
Special Issue Editors
Interests: Image processing, Precision Agriculture, Remote Sensing, Uncrewed Aerial Vehicles (UAVs), Geographic Object-Based Image Analysis (GEOBIA)
Interests: Agriculture, Agricultural Engineering, Automation, Computer Vision, Sustainability, Production, Agricultural Mechanization
Special Issues, Collections and Topics in MDPI journals
Interests: Geographic Object-Based Image Analysis (GEOBIA), Remote sensing, Urban forestry, LiDAR data, Uncrewed Aerial Vehicles (UAVs)
Special Issue Information
Artificial Intelligence (AI) is transforming the agricultural sector by introducing smarter, more efficient, and data-driven solutions. From precision farming and crop monitoring to automated machinery and predictive analytics, AI technologies help farmers make better decisions, aiming to enhance sustainability and productivity. As global food demand continues to rise, integrating AI into agriculture is becoming essential for ensuring sustainable farming practices and improving food security. This technological revolution is not only reshaping how food is produced but also paving the way for a more resilient and innovative agricultural industry.
This Special Issue will explore the different applications of AI in precision agriculture (PA), covering topics such as autonomous systems, advanced monitoring and sensing technologies, and data-driven decision-making.
The contributions will present advancements in crop monitoring, watering, planting, yield forecasting, systems for weeding and treatment, pest and disease detection, and agricultural mapping, along with technologies that aid both real-time and predictive decision-making. The aim of this Special Issue is to highlight the potential of AI in creating a more sustainable and efficient agricultural sector that can address future challenges.
In this Special Issue, we invite papers focusing on, but not limited to different AI applications in PA on annual and permanent crops, including the use of remote sensing platforms (i.e., uncrewed aerial vehicles, aircrafts and satellites), proximal sensors, robotic automation, machine learning and deep learning applications. Contributions based on multidisciplinary approaches, resulting from collaborations between researchers and practitioners, are also welcome, particularly those that highlight the impact of technological innovations in this field.
Dr. Gaetano Messina
Dr. Souraya Benalia
Dr. Md Abdul Mueed Choudhury
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. Agriculture 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.
Keywords
- precision agriculture (PA)
- Artificial Intelligence (AI)
- remote sensing (RS)
- machine learning (ML)
- deep learning (DL)
- uncrewed aerial vehicles (UAVs)
- crop management
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